TPress
1.
Hahne, J. M.; Wilke, M. A.; Koppe, M.; Farina, D.; Schilling, A. F.
Longitudinal Case Study of Regression-Based Hand Prosthesis Control in Daily Life Artikel
In: Front. Neurosci., Bd. 14, 2020, ISSN: 1662-4548.
Abstract | Links | Schlagwörter: adult, arm amputation, article, case study, clinical article, controlled study, electric hand, hand prosthesis, human, longitudinal study, male, middle aged, motor control, questionnaire, regression analysis, VariPlus Speed
@article{Hahne2020,
title = {Longitudinal Case Study of Regression-Based Hand Prosthesis Control in Daily Life},
author = {J. M. Hahne and M. A. Wilke and M. Koppe and D. Farina and A. F. Schilling},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L632229544&from=export},
doi = {10.3389/fnins.2020.00600},
issn = {1662-4548},
year = {2020},
date = {2020-01-01},
journal = {Front. Neurosci.},
volume = {14},
address = {J.M. Hahne, Applied Rehabilitation Technology Lab, Department of Trauma Surgery, Orthopedic Surgery and Hand Surgery, University Medical Center Göttingen, Göttingen, Germany},
abstract = {Hand prostheses are usually controlled by electromyographic (EMG) signals from the remnant muscles of the residual limb. Most prostheses used today are controlled with very simple techniques using only two EMG electrodes that allow to control a single prosthetic function at a time only. Recently, modern prosthesis controllers based on EMG classification, have become clinically available, which allow to directly access more functions, but still in a sequential manner only. We have recently shown in laboratory tests that a regression-based mapping from EMG signals into prosthetic control commands allows for a simultaneous activation of two functions and an independent control of their velocities with high reliability. Here we aimed to study how such regression-based control performs in daily life in a two-month case study. The performance is evaluated in functional tests and with a questionnaire at the beginning and the end of this phase and compared with the participant’s own prosthesis, controlled with a classical approach. Already 1 day after training of the regression model, the participant with transradial amputation outperformed the performance achieved with his own Michelangelo hand in two out of three functional metrics. No retraining of the model was required during the entire study duration. During the use of the system at home, the performance improved further and outperformed the conventional control in all three metrics. This study demonstrates that the high fidelity of linear regression-based prosthesis control is not restricted to a laboratory environment, but can be transferred to daily use.},
keywords = {adult, arm amputation, article, case study, clinical article, controlled study, electric hand, hand prosthesis, human, longitudinal study, male, middle aged, motor control, questionnaire, regression analysis, VariPlus Speed},
pubstate = {published},
tppubtype = {article}
}
Hand prostheses are usually controlled by electromyographic (EMG) signals from the remnant muscles of the residual limb. Most prostheses used today are controlled with very simple techniques using only two EMG electrodes that allow to control a single prosthetic function at a time only. Recently, modern prosthesis controllers based on EMG classification, have become clinically available, which allow to directly access more functions, but still in a sequential manner only. We have recently shown in laboratory tests that a regression-based mapping from EMG signals into prosthetic control commands allows for a simultaneous activation of two functions and an independent control of their velocities with high reliability. Here we aimed to study how such regression-based control performs in daily life in a two-month case study. The performance is evaluated in functional tests and with a questionnaire at the beginning and the end of this phase and compared with the participant’s own prosthesis, controlled with a classical approach. Already 1 day after training of the regression model, the participant with transradial amputation outperformed the performance achieved with his own Michelangelo hand in two out of three functional metrics. No retraining of the model was required during the entire study duration. During the use of the system at home, the performance improved further and outperformed the conventional control in all three metrics. This study demonstrates that the high fidelity of linear regression-based prosthesis control is not restricted to a laboratory environment, but can be transferred to daily use.
2.
Volkmar, R.; Dosen, S.; Gonzalez-Vargas, J.; Baum, M.; Markovic, M.
Improving bimanual interaction with a prosthesis using semi-autonomous control Artikel
In: J. NeuroEng. Rehabil., Bd. 16, Nr. 1, 2019, ISSN: 1743-0003.
Abstract | Links | Schlagwörter: adult, analytical equipment, article, bimanual interaction, controlled study, female, hand prosthesis, human, human experiment, inertial sensor, limb movement, male, motor control, motor performance, outcome assessment, priority journal, prosthesis, prosthesis design, semi autonomous control, sensor, task performance, vibrotactor, workload
@article{Volkmar2019,
title = {Improving bimanual interaction with a prosthesis using semi-autonomous control},
author = {R. Volkmar and S. Dosen and J. Gonzalez-Vargas and M. Baum and M. Markovic},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L629849607&from=export},
doi = {10.1186/s12984-019-0617-6},
issn = {1743-0003},
year = {2019},
date = {2019-01-01},
journal = {J. NeuroEng. Rehabil.},
volume = {16},
number = {1},
address = {M. Markovic, Department of Trauma Surgery Orthopedics and Plastic Surgery, University Medical Center Göttingen, Von-Siebold-Str. 3, Göttingen, Germany},
abstract = {Background: The loss of a hand is a traumatic experience that substantially compromises an individual's capability to interact with his environment. The myoelectric prostheses are state-of-the-art (SoA) functional replacements for the lost limbs. Their overall mechanical design and dexterity have improved over the last few decades, but the users have not been able to fully exploit these advances because of the lack of effective and intuitive control. Bimanual tasks are particularly challenging for an amputee since prosthesis control needs to be coordinated with the movement of the sound limb. So far, the bimanual activities have been often neglected by the prosthetic research community. Methods: We present a novel method to prosthesis control, which uses a semi-autonomous approach in order to simplify bimanual interactions. The approach supplements the commercial SoA two-channel myoelectric control with two additional sensors. Two inertial measurement units were attached to the prosthesis and the sound hand to detect the movement of both limbs. Once a bimanual interaction is detected, the system mimics the coordination strategies of able-bodied subjects to automatically adjust the prosthesis wrist rotation (pronation, supination) and grip type (lateral, palmar) to assist the sound hand during a bimanual task. The system has been evaluated in eight able-bodied subjects performing functional uni- A nd bi-manual tasks using the novel method and SoA two-channel myocontrol. The outcome measures were time to accomplish the task, semi-autonomous system misclassification rate, subjective rating of intuitiveness, and perceived workload (NASA TLX). Results: The results demonstrated that the novel control interface substantially outperformed the SoA myoelectric control. While using the semi-autonomous control the time to accomplish the task and the perceived workload decreased for 25 and 27%, respectively, while the subjects rated the system as more intuitive then SoA myocontrol. Conclusions: The novel system uses minimal additional hardware (two inertial sensors) and simple processing and it is therefore convenient for practical implementation. By using the proposed control scheme, the prosthesis assists the user's sound hand in performing bimanual interactions while decreasing cognitive burden.},
keywords = {adult, analytical equipment, article, bimanual interaction, controlled study, female, hand prosthesis, human, human experiment, inertial sensor, limb movement, male, motor control, motor performance, outcome assessment, priority journal, prosthesis, prosthesis design, semi autonomous control, sensor, task performance, vibrotactor, workload},
pubstate = {published},
tppubtype = {article}
}
Background: The loss of a hand is a traumatic experience that substantially compromises an individual's capability to interact with his environment. The myoelectric prostheses are state-of-the-art (SoA) functional replacements for the lost limbs. Their overall mechanical design and dexterity have improved over the last few decades, but the users have not been able to fully exploit these advances because of the lack of effective and intuitive control. Bimanual tasks are particularly challenging for an amputee since prosthesis control needs to be coordinated with the movement of the sound limb. So far, the bimanual activities have been often neglected by the prosthetic research community. Methods: We present a novel method to prosthesis control, which uses a semi-autonomous approach in order to simplify bimanual interactions. The approach supplements the commercial SoA two-channel myoelectric control with two additional sensors. Two inertial measurement units were attached to the prosthesis and the sound hand to detect the movement of both limbs. Once a bimanual interaction is detected, the system mimics the coordination strategies of able-bodied subjects to automatically adjust the prosthesis wrist rotation (pronation, supination) and grip type (lateral, palmar) to assist the sound hand during a bimanual task. The system has been evaluated in eight able-bodied subjects performing functional uni- A nd bi-manual tasks using the novel method and SoA two-channel myocontrol. The outcome measures were time to accomplish the task, semi-autonomous system misclassification rate, subjective rating of intuitiveness, and perceived workload (NASA TLX). Results: The results demonstrated that the novel control interface substantially outperformed the SoA myoelectric control. While using the semi-autonomous control the time to accomplish the task and the perceived workload decreased for 25 and 27%, respectively, while the subjects rated the system as more intuitive then SoA myocontrol. Conclusions: The novel system uses minimal additional hardware (two inertial sensors) and simple processing and it is therefore convenient for practical implementation. By using the proposed control scheme, the prosthesis assists the user's sound hand in performing bimanual interactions while decreasing cognitive burden.
3.
Kistenberg, R. S.
Prosthetic choices for people with leg and arm amputations Artikel
In: Phys. Med. Rehabil. Clin. North Am., Bd. 25, Nr. 1, S. 93–115, 2014, ISSN: 1558-1381.
Abstract | Links | Schlagwörter: anatomy, ankle prosthesis, arm amputation, arm movement, arm prosthesis, biomechanics, bone regeneration, C-leg, Delrin, elbow prosthesis, equipment design, finger amputation, functional status, Genium, hand amputation, health care access, Helix3D, hemipelvectomy, hip prosthesis, human, iLIMB Hand, Kevlar, kinematics, knee prosthesis, leg amputation, leg movement, leg prosthesis, microprocessor, motor control, orthopedic shoe, patient preference, physical activity, Power Knee, priority journal, prosthesis complication, public health service, quality of life, rehabilitation care, review, shoulder prosthesis, surgical technique, surgical technology, suspension, thumb amputation
@article{Kistenberg2014,
title = {Prosthetic choices for people with leg and arm amputations},
author = {R. S. Kistenberg},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L370343297&from=export},
doi = {10.1016/j.pmr.2013.10.001},
issn = {1558-1381},
year = {2014},
date = {2014-01-01},
journal = {Phys. Med. Rehabil. Clin. North Am.},
volume = {25},
number = {1},
pages = {93–115},
address = {R.S. Kistenberg, Georgia Institute of Technology, School of Applied Physiology, 555 14th Street, Atlanta, GA 30318, United States},
abstract = {New technology and materials have advanced prosthetic designs to enable people who rely on artificial limbs to achieve feats never dreamed before. However, the latest and the greatest technology is not appropriate for everyone. The aim of this article is to present contemporary options that are available for people who rely on artificial limbs to enhance their quality of life for mobility and independence. © 2014 Elsevier Inc.},
keywords = {anatomy, ankle prosthesis, arm amputation, arm movement, arm prosthesis, biomechanics, bone regeneration, C-leg, Delrin, elbow prosthesis, equipment design, finger amputation, functional status, Genium, hand amputation, health care access, Helix3D, hemipelvectomy, hip prosthesis, human, iLIMB Hand, Kevlar, kinematics, knee prosthesis, leg amputation, leg movement, leg prosthesis, microprocessor, motor control, orthopedic shoe, patient preference, physical activity, Power Knee, priority journal, prosthesis complication, public health service, quality of life, rehabilitation care, review, shoulder prosthesis, surgical technique, surgical technology, suspension, thumb amputation},
pubstate = {published},
tppubtype = {article}
}
New technology and materials have advanced prosthetic designs to enable people who rely on artificial limbs to achieve feats never dreamed before. However, the latest and the greatest technology is not appropriate for everyone. The aim of this article is to present contemporary options that are available for people who rely on artificial limbs to enhance their quality of life for mobility and independence. © 2014 Elsevier Inc.
2020
Hahne, J. M.; Wilke, M. A.; Koppe, M.; Farina, D.; Schilling, A. F.
Longitudinal Case Study of Regression-Based Hand Prosthesis Control in Daily Life Artikel
In: Front. Neurosci., Bd. 14, 2020, ISSN: 1662-4548.
Abstract | Links | Schlagwörter: adult, arm amputation, article, case study, clinical article, controlled study, electric hand, hand prosthesis, human, longitudinal study, male, middle aged, motor control, questionnaire, regression analysis, VariPlus Speed
@article{Hahne2020,
title = {Longitudinal Case Study of Regression-Based Hand Prosthesis Control in Daily Life},
author = {J. M. Hahne and M. A. Wilke and M. Koppe and D. Farina and A. F. Schilling},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L632229544&from=export},
doi = {10.3389/fnins.2020.00600},
issn = {1662-4548},
year = {2020},
date = {2020-01-01},
journal = {Front. Neurosci.},
volume = {14},
address = {J.M. Hahne, Applied Rehabilitation Technology Lab, Department of Trauma Surgery, Orthopedic Surgery and Hand Surgery, University Medical Center Göttingen, Göttingen, Germany},
abstract = {Hand prostheses are usually controlled by electromyographic (EMG) signals from the remnant muscles of the residual limb. Most prostheses used today are controlled with very simple techniques using only two EMG electrodes that allow to control a single prosthetic function at a time only. Recently, modern prosthesis controllers based on EMG classification, have become clinically available, which allow to directly access more functions, but still in a sequential manner only. We have recently shown in laboratory tests that a regression-based mapping from EMG signals into prosthetic control commands allows for a simultaneous activation of two functions and an independent control of their velocities with high reliability. Here we aimed to study how such regression-based control performs in daily life in a two-month case study. The performance is evaluated in functional tests and with a questionnaire at the beginning and the end of this phase and compared with the participant’s own prosthesis, controlled with a classical approach. Already 1 day after training of the regression model, the participant with transradial amputation outperformed the performance achieved with his own Michelangelo hand in two out of three functional metrics. No retraining of the model was required during the entire study duration. During the use of the system at home, the performance improved further and outperformed the conventional control in all three metrics. This study demonstrates that the high fidelity of linear regression-based prosthesis control is not restricted to a laboratory environment, but can be transferred to daily use.},
keywords = {adult, arm amputation, article, case study, clinical article, controlled study, electric hand, hand prosthesis, human, longitudinal study, male, middle aged, motor control, questionnaire, regression analysis, VariPlus Speed},
pubstate = {published},
tppubtype = {article}
}
Hand prostheses are usually controlled by electromyographic (EMG) signals from the remnant muscles of the residual limb. Most prostheses used today are controlled with very simple techniques using only two EMG electrodes that allow to control a single prosthetic function at a time only. Recently, modern prosthesis controllers based on EMG classification, have become clinically available, which allow to directly access more functions, but still in a sequential manner only. We have recently shown in laboratory tests that a regression-based mapping from EMG signals into prosthetic control commands allows for a simultaneous activation of two functions and an independent control of their velocities with high reliability. Here we aimed to study how such regression-based control performs in daily life in a two-month case study. The performance is evaluated in functional tests and with a questionnaire at the beginning and the end of this phase and compared with the participant’s own prosthesis, controlled with a classical approach. Already 1 day after training of the regression model, the participant with transradial amputation outperformed the performance achieved with his own Michelangelo hand in two out of three functional metrics. No retraining of the model was required during the entire study duration. During the use of the system at home, the performance improved further and outperformed the conventional control in all three metrics. This study demonstrates that the high fidelity of linear regression-based prosthesis control is not restricted to a laboratory environment, but can be transferred to daily use.
2019
Volkmar, R.; Dosen, S.; Gonzalez-Vargas, J.; Baum, M.; Markovic, M.
Improving bimanual interaction with a prosthesis using semi-autonomous control Artikel
In: J. NeuroEng. Rehabil., Bd. 16, Nr. 1, 2019, ISSN: 1743-0003.
Abstract | Links | Schlagwörter: adult, analytical equipment, article, bimanual interaction, controlled study, female, hand prosthesis, human, human experiment, inertial sensor, limb movement, male, motor control, motor performance, outcome assessment, priority journal, prosthesis, prosthesis design, semi autonomous control, sensor, task performance, vibrotactor, workload
@article{Volkmar2019,
title = {Improving bimanual interaction with a prosthesis using semi-autonomous control},
author = {R. Volkmar and S. Dosen and J. Gonzalez-Vargas and M. Baum and M. Markovic},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L629849607&from=export},
doi = {10.1186/s12984-019-0617-6},
issn = {1743-0003},
year = {2019},
date = {2019-01-01},
journal = {J. NeuroEng. Rehabil.},
volume = {16},
number = {1},
address = {M. Markovic, Department of Trauma Surgery Orthopedics and Plastic Surgery, University Medical Center Göttingen, Von-Siebold-Str. 3, Göttingen, Germany},
abstract = {Background: The loss of a hand is a traumatic experience that substantially compromises an individual's capability to interact with his environment. The myoelectric prostheses are state-of-the-art (SoA) functional replacements for the lost limbs. Their overall mechanical design and dexterity have improved over the last few decades, but the users have not been able to fully exploit these advances because of the lack of effective and intuitive control. Bimanual tasks are particularly challenging for an amputee since prosthesis control needs to be coordinated with the movement of the sound limb. So far, the bimanual activities have been often neglected by the prosthetic research community. Methods: We present a novel method to prosthesis control, which uses a semi-autonomous approach in order to simplify bimanual interactions. The approach supplements the commercial SoA two-channel myoelectric control with two additional sensors. Two inertial measurement units were attached to the prosthesis and the sound hand to detect the movement of both limbs. Once a bimanual interaction is detected, the system mimics the coordination strategies of able-bodied subjects to automatically adjust the prosthesis wrist rotation (pronation, supination) and grip type (lateral, palmar) to assist the sound hand during a bimanual task. The system has been evaluated in eight able-bodied subjects performing functional uni- A nd bi-manual tasks using the novel method and SoA two-channel myocontrol. The outcome measures were time to accomplish the task, semi-autonomous system misclassification rate, subjective rating of intuitiveness, and perceived workload (NASA TLX). Results: The results demonstrated that the novel control interface substantially outperformed the SoA myoelectric control. While using the semi-autonomous control the time to accomplish the task and the perceived workload decreased for 25 and 27%, respectively, while the subjects rated the system as more intuitive then SoA myocontrol. Conclusions: The novel system uses minimal additional hardware (two inertial sensors) and simple processing and it is therefore convenient for practical implementation. By using the proposed control scheme, the prosthesis assists the user's sound hand in performing bimanual interactions while decreasing cognitive burden.},
keywords = {adult, analytical equipment, article, bimanual interaction, controlled study, female, hand prosthesis, human, human experiment, inertial sensor, limb movement, male, motor control, motor performance, outcome assessment, priority journal, prosthesis, prosthesis design, semi autonomous control, sensor, task performance, vibrotactor, workload},
pubstate = {published},
tppubtype = {article}
}
Background: The loss of a hand is a traumatic experience that substantially compromises an individual's capability to interact with his environment. The myoelectric prostheses are state-of-the-art (SoA) functional replacements for the lost limbs. Their overall mechanical design and dexterity have improved over the last few decades, but the users have not been able to fully exploit these advances because of the lack of effective and intuitive control. Bimanual tasks are particularly challenging for an amputee since prosthesis control needs to be coordinated with the movement of the sound limb. So far, the bimanual activities have been often neglected by the prosthetic research community. Methods: We present a novel method to prosthesis control, which uses a semi-autonomous approach in order to simplify bimanual interactions. The approach supplements the commercial SoA two-channel myoelectric control with two additional sensors. Two inertial measurement units were attached to the prosthesis and the sound hand to detect the movement of both limbs. Once a bimanual interaction is detected, the system mimics the coordination strategies of able-bodied subjects to automatically adjust the prosthesis wrist rotation (pronation, supination) and grip type (lateral, palmar) to assist the sound hand during a bimanual task. The system has been evaluated in eight able-bodied subjects performing functional uni- A nd bi-manual tasks using the novel method and SoA two-channel myocontrol. The outcome measures were time to accomplish the task, semi-autonomous system misclassification rate, subjective rating of intuitiveness, and perceived workload (NASA TLX). Results: The results demonstrated that the novel control interface substantially outperformed the SoA myoelectric control. While using the semi-autonomous control the time to accomplish the task and the perceived workload decreased for 25 and 27%, respectively, while the subjects rated the system as more intuitive then SoA myocontrol. Conclusions: The novel system uses minimal additional hardware (two inertial sensors) and simple processing and it is therefore convenient for practical implementation. By using the proposed control scheme, the prosthesis assists the user's sound hand in performing bimanual interactions while decreasing cognitive burden.
2014
Kistenberg, R. S.
Prosthetic choices for people with leg and arm amputations Artikel
In: Phys. Med. Rehabil. Clin. North Am., Bd. 25, Nr. 1, S. 93–115, 2014, ISSN: 1558-1381.
Abstract | Links | Schlagwörter: anatomy, ankle prosthesis, arm amputation, arm movement, arm prosthesis, biomechanics, bone regeneration, C-leg, Delrin, elbow prosthesis, equipment design, finger amputation, functional status, Genium, hand amputation, health care access, Helix3D, hemipelvectomy, hip prosthesis, human, iLIMB Hand, Kevlar, kinematics, knee prosthesis, leg amputation, leg movement, leg prosthesis, microprocessor, motor control, orthopedic shoe, patient preference, physical activity, Power Knee, priority journal, prosthesis complication, public health service, quality of life, rehabilitation care, review, shoulder prosthesis, surgical technique, surgical technology, suspension, thumb amputation
@article{Kistenberg2014,
title = {Prosthetic choices for people with leg and arm amputations},
author = {R. S. Kistenberg},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L370343297&from=export},
doi = {10.1016/j.pmr.2013.10.001},
issn = {1558-1381},
year = {2014},
date = {2014-01-01},
journal = {Phys. Med. Rehabil. Clin. North Am.},
volume = {25},
number = {1},
pages = {93–115},
address = {R.S. Kistenberg, Georgia Institute of Technology, School of Applied Physiology, 555 14th Street, Atlanta, GA 30318, United States},
abstract = {New technology and materials have advanced prosthetic designs to enable people who rely on artificial limbs to achieve feats never dreamed before. However, the latest and the greatest technology is not appropriate for everyone. The aim of this article is to present contemporary options that are available for people who rely on artificial limbs to enhance their quality of life for mobility and independence. © 2014 Elsevier Inc.},
keywords = {anatomy, ankle prosthesis, arm amputation, arm movement, arm prosthesis, biomechanics, bone regeneration, C-leg, Delrin, elbow prosthesis, equipment design, finger amputation, functional status, Genium, hand amputation, health care access, Helix3D, hemipelvectomy, hip prosthesis, human, iLIMB Hand, Kevlar, kinematics, knee prosthesis, leg amputation, leg movement, leg prosthesis, microprocessor, motor control, orthopedic shoe, patient preference, physical activity, Power Knee, priority journal, prosthesis complication, public health service, quality of life, rehabilitation care, review, shoulder prosthesis, surgical technique, surgical technology, suspension, thumb amputation},
pubstate = {published},
tppubtype = {article}
}
New technology and materials have advanced prosthetic designs to enable people who rely on artificial limbs to achieve feats never dreamed before. However, the latest and the greatest technology is not appropriate for everyone. The aim of this article is to present contemporary options that are available for people who rely on artificial limbs to enhance their quality of life for mobility and independence. © 2014 Elsevier Inc.
2020
Hahne, J. M.; Wilke, M. A.; Koppe, M.; Farina, D.; Schilling, A. F.
Longitudinal Case Study of Regression-Based Hand Prosthesis Control in Daily Life Artikel
In: Front. Neurosci., Bd. 14, 2020, ISSN: 1662-4548.
@article{Hahne2020,
title = {Longitudinal Case Study of Regression-Based Hand Prosthesis Control in Daily Life},
author = {J. M. Hahne and M. A. Wilke and M. Koppe and D. Farina and A. F. Schilling},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L632229544&from=export},
doi = {10.3389/fnins.2020.00600},
issn = {1662-4548},
year = {2020},
date = {2020-01-01},
journal = {Front. Neurosci.},
volume = {14},
address = {J.M. Hahne, Applied Rehabilitation Technology Lab, Department of Trauma Surgery, Orthopedic Surgery and Hand Surgery, University Medical Center Göttingen, Göttingen, Germany},
abstract = {Hand prostheses are usually controlled by electromyographic (EMG) signals from the remnant muscles of the residual limb. Most prostheses used today are controlled with very simple techniques using only two EMG electrodes that allow to control a single prosthetic function at a time only. Recently, modern prosthesis controllers based on EMG classification, have become clinically available, which allow to directly access more functions, but still in a sequential manner only. We have recently shown in laboratory tests that a regression-based mapping from EMG signals into prosthetic control commands allows for a simultaneous activation of two functions and an independent control of their velocities with high reliability. Here we aimed to study how such regression-based control performs in daily life in a two-month case study. The performance is evaluated in functional tests and with a questionnaire at the beginning and the end of this phase and compared with the participant’s own prosthesis, controlled with a classical approach. Already 1 day after training of the regression model, the participant with transradial amputation outperformed the performance achieved with his own Michelangelo hand in two out of three functional metrics. No retraining of the model was required during the entire study duration. During the use of the system at home, the performance improved further and outperformed the conventional control in all three metrics. This study demonstrates that the high fidelity of linear regression-based prosthesis control is not restricted to a laboratory environment, but can be transferred to daily use.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hand prostheses are usually controlled by electromyographic (EMG) signals from the remnant muscles of the residual limb. Most prostheses used today are controlled with very simple techniques using only two EMG electrodes that allow to control a single prosthetic function at a time only. Recently, modern prosthesis controllers based on EMG classification, have become clinically available, which allow to directly access more functions, but still in a sequential manner only. We have recently shown in laboratory tests that a regression-based mapping from EMG signals into prosthetic control commands allows for a simultaneous activation of two functions and an independent control of their velocities with high reliability. Here we aimed to study how such regression-based control performs in daily life in a two-month case study. The performance is evaluated in functional tests and with a questionnaire at the beginning and the end of this phase and compared with the participant’s own prosthesis, controlled with a classical approach. Already 1 day after training of the regression model, the participant with transradial amputation outperformed the performance achieved with his own Michelangelo hand in two out of three functional metrics. No retraining of the model was required during the entire study duration. During the use of the system at home, the performance improved further and outperformed the conventional control in all three metrics. This study demonstrates that the high fidelity of linear regression-based prosthesis control is not restricted to a laboratory environment, but can be transferred to daily use.
2019
Volkmar, R.; Dosen, S.; Gonzalez-Vargas, J.; Baum, M.; Markovic, M.
Improving bimanual interaction with a prosthesis using semi-autonomous control Artikel
In: J. NeuroEng. Rehabil., Bd. 16, Nr. 1, 2019, ISSN: 1743-0003.
@article{Volkmar2019,
title = {Improving bimanual interaction with a prosthesis using semi-autonomous control},
author = {R. Volkmar and S. Dosen and J. Gonzalez-Vargas and M. Baum and M. Markovic},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L629849607&from=export},
doi = {10.1186/s12984-019-0617-6},
issn = {1743-0003},
year = {2019},
date = {2019-01-01},
journal = {J. NeuroEng. Rehabil.},
volume = {16},
number = {1},
address = {M. Markovic, Department of Trauma Surgery Orthopedics and Plastic Surgery, University Medical Center Göttingen, Von-Siebold-Str. 3, Göttingen, Germany},
abstract = {Background: The loss of a hand is a traumatic experience that substantially compromises an individual's capability to interact with his environment. The myoelectric prostheses are state-of-the-art (SoA) functional replacements for the lost limbs. Their overall mechanical design and dexterity have improved over the last few decades, but the users have not been able to fully exploit these advances because of the lack of effective and intuitive control. Bimanual tasks are particularly challenging for an amputee since prosthesis control needs to be coordinated with the movement of the sound limb. So far, the bimanual activities have been often neglected by the prosthetic research community. Methods: We present a novel method to prosthesis control, which uses a semi-autonomous approach in order to simplify bimanual interactions. The approach supplements the commercial SoA two-channel myoelectric control with two additional sensors. Two inertial measurement units were attached to the prosthesis and the sound hand to detect the movement of both limbs. Once a bimanual interaction is detected, the system mimics the coordination strategies of able-bodied subjects to automatically adjust the prosthesis wrist rotation (pronation, supination) and grip type (lateral, palmar) to assist the sound hand during a bimanual task. The system has been evaluated in eight able-bodied subjects performing functional uni- A nd bi-manual tasks using the novel method and SoA two-channel myocontrol. The outcome measures were time to accomplish the task, semi-autonomous system misclassification rate, subjective rating of intuitiveness, and perceived workload (NASA TLX). Results: The results demonstrated that the novel control interface substantially outperformed the SoA myoelectric control. While using the semi-autonomous control the time to accomplish the task and the perceived workload decreased for 25 and 27%, respectively, while the subjects rated the system as more intuitive then SoA myocontrol. Conclusions: The novel system uses minimal additional hardware (two inertial sensors) and simple processing and it is therefore convenient for practical implementation. By using the proposed control scheme, the prosthesis assists the user's sound hand in performing bimanual interactions while decreasing cognitive burden.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Background: The loss of a hand is a traumatic experience that substantially compromises an individual's capability to interact with his environment. The myoelectric prostheses are state-of-the-art (SoA) functional replacements for the lost limbs. Their overall mechanical design and dexterity have improved over the last few decades, but the users have not been able to fully exploit these advances because of the lack of effective and intuitive control. Bimanual tasks are particularly challenging for an amputee since prosthesis control needs to be coordinated with the movement of the sound limb. So far, the bimanual activities have been often neglected by the prosthetic research community. Methods: We present a novel method to prosthesis control, which uses a semi-autonomous approach in order to simplify bimanual interactions. The approach supplements the commercial SoA two-channel myoelectric control with two additional sensors. Two inertial measurement units were attached to the prosthesis and the sound hand to detect the movement of both limbs. Once a bimanual interaction is detected, the system mimics the coordination strategies of able-bodied subjects to automatically adjust the prosthesis wrist rotation (pronation, supination) and grip type (lateral, palmar) to assist the sound hand during a bimanual task. The system has been evaluated in eight able-bodied subjects performing functional uni- A nd bi-manual tasks using the novel method and SoA two-channel myocontrol. The outcome measures were time to accomplish the task, semi-autonomous system misclassification rate, subjective rating of intuitiveness, and perceived workload (NASA TLX). Results: The results demonstrated that the novel control interface substantially outperformed the SoA myoelectric control. While using the semi-autonomous control the time to accomplish the task and the perceived workload decreased for 25 and 27%, respectively, while the subjects rated the system as more intuitive then SoA myocontrol. Conclusions: The novel system uses minimal additional hardware (two inertial sensors) and simple processing and it is therefore convenient for practical implementation. By using the proposed control scheme, the prosthesis assists the user's sound hand in performing bimanual interactions while decreasing cognitive burden.
2014
Kistenberg, R. S.
Prosthetic choices for people with leg and arm amputations Artikel
In: Phys. Med. Rehabil. Clin. North Am., Bd. 25, Nr. 1, S. 93–115, 2014, ISSN: 1558-1381.
@article{Kistenberg2014,
title = {Prosthetic choices for people with leg and arm amputations},
author = {R. S. Kistenberg},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L370343297&from=export},
doi = {10.1016/j.pmr.2013.10.001},
issn = {1558-1381},
year = {2014},
date = {2014-01-01},
journal = {Phys. Med. Rehabil. Clin. North Am.},
volume = {25},
number = {1},
pages = {93–115},
address = {R.S. Kistenberg, Georgia Institute of Technology, School of Applied Physiology, 555 14th Street, Atlanta, GA 30318, United States},
abstract = {New technology and materials have advanced prosthetic designs to enable people who rely on artificial limbs to achieve feats never dreamed before. However, the latest and the greatest technology is not appropriate for everyone. The aim of this article is to present contemporary options that are available for people who rely on artificial limbs to enhance their quality of life for mobility and independence. © 2014 Elsevier Inc.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
New technology and materials have advanced prosthetic designs to enable people who rely on artificial limbs to achieve feats never dreamed before. However, the latest and the greatest technology is not appropriate for everyone. The aim of this article is to present contemporary options that are available for people who rely on artificial limbs to enhance their quality of life for mobility and independence. © 2014 Elsevier Inc.