TPress
1.
Dosen, S.; Markovic, M.; Strbac, M.; Belic, M.; Kojic, V.; Bijelic, G.; Keller, T.; Farina, D.
In: IEEE Trans. Neural Syst. Rehabil. Eng., Bd. 25, Nr. 3, S. 183–195, 2017, ISSN: 1534-4320.
Abstract | Links | Schlagwörter: article, electrode, electromyogram, frequency modulation, hand prosthesis, human, human experiment, Michelangelo hand, muscle isometric contraction, myoelectric control, psychometry, rehabilitation equipment, spatial discrimination, tactile feedback, visual feedback
@article{Dosen2017,
title = {Multichannel electrotactile feedback with spatial and mixed coding for closed-loop control of grasping force in hand prostheses},
author = {S. Dosen and M. Markovic and M. Strbac and M. Belic and V. Kojic and G. Bijelic and T. Keller and D. Farina},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L615004930&from=export},
doi = {10.1109/tnsre.2016.2550864},
issn = {1534-4320},
year = {2017},
date = {2017-01-01},
journal = {IEEE Trans. Neural Syst. Rehabil. Eng.},
volume = {25},
number = {3},
pages = {183–195},
abstract = {Providing somatosensory feedback to the user of a myoelectric prosthesis is an important goal since it can improve the utility as well as facilitate the embodiment of the assistive system. Most often, the grasping force was selected as the feedback variable and communicated through one or more individual single channel stimulation units (e.g., electrodes, vibration motors). In the present study, an integrated, compact, multichannel solution comprising an array electrode and a programmable stimulator was presented. Two coding schemes (15 levels), spatial and mixed (spatial and frequency) modulation, were tested in able-bodied subjects, psychometrically and in force control with routine grasping and force tracking using real and simulated prosthesis. The results demonstrated that mixed and spatial coding, although substantially different in psychometric tests, resulted in a similar performance during both force control tasks. Furthermore, the ideal, visual feedback was not better than the tactile feedback in routine grasping. To explain the observed results, a conceptual model was proposed emphasizing that the performance depends on multiple factors, including feedback uncertainty, nature of the task and the reliability of the feedforward control. The study outcomes, specific conclusions and the general model, are relevant for the design of closed-loop myoelectric prostheses utilizing tactile feedback.},
keywords = {article, electrode, electromyogram, frequency modulation, hand prosthesis, human, human experiment, Michelangelo hand, muscle isometric contraction, myoelectric control, psychometry, rehabilitation equipment, spatial discrimination, tactile feedback, visual feedback},
pubstate = {published},
tppubtype = {article}
}
Providing somatosensory feedback to the user of a myoelectric prosthesis is an important goal since it can improve the utility as well as facilitate the embodiment of the assistive system. Most often, the grasping force was selected as the feedback variable and communicated through one or more individual single channel stimulation units (e.g., electrodes, vibration motors). In the present study, an integrated, compact, multichannel solution comprising an array electrode and a programmable stimulator was presented. Two coding schemes (15 levels), spatial and mixed (spatial and frequency) modulation, were tested in able-bodied subjects, psychometrically and in force control with routine grasping and force tracking using real and simulated prosthesis. The results demonstrated that mixed and spatial coding, although substantially different in psychometric tests, resulted in a similar performance during both force control tasks. Furthermore, the ideal, visual feedback was not better than the tactile feedback in routine grasping. To explain the observed results, a conceptual model was proposed emphasizing that the performance depends on multiple factors, including feedback uncertainty, nature of the task and the reliability of the feedforward control. The study outcomes, specific conclusions and the general model, are relevant for the design of closed-loop myoelectric prostheses utilizing tactile feedback.
2.
Fligge, N.; Urbanek, H.; der Smagt, P. Van
Relation between object properties and EMG during reaching to grasp Artikel
In: J. Electromyogr. Kinesiology, Bd. 23, Nr. 2, S. 402–410, 2013, ISSN: 1873-5711.
Abstract | Links | Schlagwörter: 13E200, adult, article, controlled study, electrode, electromyogram, female, forearm, grasping, hand function, hand muscle, human, human experiment, male, normal human, physical parameters, priority journal, size, weight
@article{Fligge2013,
title = {Relation between object properties and EMG during reaching to grasp},
author = {N. Fligge and H. Urbanek and P. Van der Smagt},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L52331059&from=export},
doi = {10.1016/j.jelekin.2012.10.010},
issn = {1873-5711},
year = {2013},
date = {2013-01-01},
journal = {J. Electromyogr. Kinesiology},
volume = {23},
number = {2},
pages = {402–410},
address = {N. Fligge, German Aerospace Center (DLR), Center for Robotics and Mechatronics, Muenchner Strasse 20, D-82234 Oberpfaffenhofen-Wessling, Germany},
abstract = {In order to stably grasp an object with an artificial hand, a priori knowledge of the object's properties is a major advantage, especially to ensure subsequent manipulation of the object held by the hand. This is also true for hand prostheses: pre-shaping of the hand while approaching the object, similar to able-bodied, allows the wearer for a much faster and more intuitive way of handling and grasping an object. For hand prostheses, it would be advantageous to obtain this information about object properties from a surface electromyography (sEMG) signal, which is already present and used to control the active prosthetic hand.We describe experiments in which human subjects grasp different objects at different positions while their muscular activity is recorded through eight sEMG electrodes placed on the forearm. Results show that sEMG data, gathered before the hand is in contact with the object, can be used to obtain relevant information on object properties such as size and weight. © 2012 Elsevier Ltd.},
keywords = {13E200, adult, article, controlled study, electrode, electromyogram, female, forearm, grasping, hand function, hand muscle, human, human experiment, male, normal human, physical parameters, priority journal, size, weight},
pubstate = {published},
tppubtype = {article}
}
In order to stably grasp an object with an artificial hand, a priori knowledge of the object's properties is a major advantage, especially to ensure subsequent manipulation of the object held by the hand. This is also true for hand prostheses: pre-shaping of the hand while approaching the object, similar to able-bodied, allows the wearer for a much faster and more intuitive way of handling and grasping an object. For hand prostheses, it would be advantageous to obtain this information about object properties from a surface electromyography (sEMG) signal, which is already present and used to control the active prosthetic hand.We describe experiments in which human subjects grasp different objects at different positions while their muscular activity is recorded through eight sEMG electrodes placed on the forearm. Results show that sEMG data, gathered before the hand is in contact with the object, can be used to obtain relevant information on object properties such as size and weight. © 2012 Elsevier Ltd.
2017
Dosen, S.; Markovic, M.; Strbac, M.; Belic, M.; Kojic, V.; Bijelic, G.; Keller, T.; Farina, D.
In: IEEE Trans. Neural Syst. Rehabil. Eng., Bd. 25, Nr. 3, S. 183–195, 2017, ISSN: 1534-4320.
Abstract | Links | Schlagwörter: article, electrode, electromyogram, frequency modulation, hand prosthesis, human, human experiment, Michelangelo hand, muscle isometric contraction, myoelectric control, psychometry, rehabilitation equipment, spatial discrimination, tactile feedback, visual feedback
@article{Dosen2017,
title = {Multichannel electrotactile feedback with spatial and mixed coding for closed-loop control of grasping force in hand prostheses},
author = {S. Dosen and M. Markovic and M. Strbac and M. Belic and V. Kojic and G. Bijelic and T. Keller and D. Farina},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L615004930&from=export},
doi = {10.1109/tnsre.2016.2550864},
issn = {1534-4320},
year = {2017},
date = {2017-01-01},
journal = {IEEE Trans. Neural Syst. Rehabil. Eng.},
volume = {25},
number = {3},
pages = {183–195},
abstract = {Providing somatosensory feedback to the user of a myoelectric prosthesis is an important goal since it can improve the utility as well as facilitate the embodiment of the assistive system. Most often, the grasping force was selected as the feedback variable and communicated through one or more individual single channel stimulation units (e.g., electrodes, vibration motors). In the present study, an integrated, compact, multichannel solution comprising an array electrode and a programmable stimulator was presented. Two coding schemes (15 levels), spatial and mixed (spatial and frequency) modulation, were tested in able-bodied subjects, psychometrically and in force control with routine grasping and force tracking using real and simulated prosthesis. The results demonstrated that mixed and spatial coding, although substantially different in psychometric tests, resulted in a similar performance during both force control tasks. Furthermore, the ideal, visual feedback was not better than the tactile feedback in routine grasping. To explain the observed results, a conceptual model was proposed emphasizing that the performance depends on multiple factors, including feedback uncertainty, nature of the task and the reliability of the feedforward control. The study outcomes, specific conclusions and the general model, are relevant for the design of closed-loop myoelectric prostheses utilizing tactile feedback.},
keywords = {article, electrode, electromyogram, frequency modulation, hand prosthesis, human, human experiment, Michelangelo hand, muscle isometric contraction, myoelectric control, psychometry, rehabilitation equipment, spatial discrimination, tactile feedback, visual feedback},
pubstate = {published},
tppubtype = {article}
}
Providing somatosensory feedback to the user of a myoelectric prosthesis is an important goal since it can improve the utility as well as facilitate the embodiment of the assistive system. Most often, the grasping force was selected as the feedback variable and communicated through one or more individual single channel stimulation units (e.g., electrodes, vibration motors). In the present study, an integrated, compact, multichannel solution comprising an array electrode and a programmable stimulator was presented. Two coding schemes (15 levels), spatial and mixed (spatial and frequency) modulation, were tested in able-bodied subjects, psychometrically and in force control with routine grasping and force tracking using real and simulated prosthesis. The results demonstrated that mixed and spatial coding, although substantially different in psychometric tests, resulted in a similar performance during both force control tasks. Furthermore, the ideal, visual feedback was not better than the tactile feedback in routine grasping. To explain the observed results, a conceptual model was proposed emphasizing that the performance depends on multiple factors, including feedback uncertainty, nature of the task and the reliability of the feedforward control. The study outcomes, specific conclusions and the general model, are relevant for the design of closed-loop myoelectric prostheses utilizing tactile feedback.
2013
Fligge, N.; Urbanek, H.; der Smagt, P. Van
Relation between object properties and EMG during reaching to grasp Artikel
In: J. Electromyogr. Kinesiology, Bd. 23, Nr. 2, S. 402–410, 2013, ISSN: 1873-5711.
Abstract | Links | Schlagwörter: 13E200, adult, article, controlled study, electrode, electromyogram, female, forearm, grasping, hand function, hand muscle, human, human experiment, male, normal human, physical parameters, priority journal, size, weight
@article{Fligge2013,
title = {Relation between object properties and EMG during reaching to grasp},
author = {N. Fligge and H. Urbanek and P. Van der Smagt},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L52331059&from=export},
doi = {10.1016/j.jelekin.2012.10.010},
issn = {1873-5711},
year = {2013},
date = {2013-01-01},
journal = {J. Electromyogr. Kinesiology},
volume = {23},
number = {2},
pages = {402–410},
address = {N. Fligge, German Aerospace Center (DLR), Center for Robotics and Mechatronics, Muenchner Strasse 20, D-82234 Oberpfaffenhofen-Wessling, Germany},
abstract = {In order to stably grasp an object with an artificial hand, a priori knowledge of the object's properties is a major advantage, especially to ensure subsequent manipulation of the object held by the hand. This is also true for hand prostheses: pre-shaping of the hand while approaching the object, similar to able-bodied, allows the wearer for a much faster and more intuitive way of handling and grasping an object. For hand prostheses, it would be advantageous to obtain this information about object properties from a surface electromyography (sEMG) signal, which is already present and used to control the active prosthetic hand.We describe experiments in which human subjects grasp different objects at different positions while their muscular activity is recorded through eight sEMG electrodes placed on the forearm. Results show that sEMG data, gathered before the hand is in contact with the object, can be used to obtain relevant information on object properties such as size and weight. © 2012 Elsevier Ltd.},
keywords = {13E200, adult, article, controlled study, electrode, electromyogram, female, forearm, grasping, hand function, hand muscle, human, human experiment, male, normal human, physical parameters, priority journal, size, weight},
pubstate = {published},
tppubtype = {article}
}
In order to stably grasp an object with an artificial hand, a priori knowledge of the object's properties is a major advantage, especially to ensure subsequent manipulation of the object held by the hand. This is also true for hand prostheses: pre-shaping of the hand while approaching the object, similar to able-bodied, allows the wearer for a much faster and more intuitive way of handling and grasping an object. For hand prostheses, it would be advantageous to obtain this information about object properties from a surface electromyography (sEMG) signal, which is already present and used to control the active prosthetic hand.We describe experiments in which human subjects grasp different objects at different positions while their muscular activity is recorded through eight sEMG electrodes placed on the forearm. Results show that sEMG data, gathered before the hand is in contact with the object, can be used to obtain relevant information on object properties such as size and weight. © 2012 Elsevier Ltd.
2017
Dosen, S.; Markovic, M.; Strbac, M.; Belic, M.; Kojic, V.; Bijelic, G.; Keller, T.; Farina, D.
In: IEEE Trans. Neural Syst. Rehabil. Eng., Bd. 25, Nr. 3, S. 183–195, 2017, ISSN: 1534-4320.
@article{Dosen2017,
title = {Multichannel electrotactile feedback with spatial and mixed coding for closed-loop control of grasping force in hand prostheses},
author = {S. Dosen and M. Markovic and M. Strbac and M. Belic and V. Kojic and G. Bijelic and T. Keller and D. Farina},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L615004930&from=export},
doi = {10.1109/tnsre.2016.2550864},
issn = {1534-4320},
year = {2017},
date = {2017-01-01},
journal = {IEEE Trans. Neural Syst. Rehabil. Eng.},
volume = {25},
number = {3},
pages = {183–195},
abstract = {Providing somatosensory feedback to the user of a myoelectric prosthesis is an important goal since it can improve the utility as well as facilitate the embodiment of the assistive system. Most often, the grasping force was selected as the feedback variable and communicated through one or more individual single channel stimulation units (e.g., electrodes, vibration motors). In the present study, an integrated, compact, multichannel solution comprising an array electrode and a programmable stimulator was presented. Two coding schemes (15 levels), spatial and mixed (spatial and frequency) modulation, were tested in able-bodied subjects, psychometrically and in force control with routine grasping and force tracking using real and simulated prosthesis. The results demonstrated that mixed and spatial coding, although substantially different in psychometric tests, resulted in a similar performance during both force control tasks. Furthermore, the ideal, visual feedback was not better than the tactile feedback in routine grasping. To explain the observed results, a conceptual model was proposed emphasizing that the performance depends on multiple factors, including feedback uncertainty, nature of the task and the reliability of the feedforward control. The study outcomes, specific conclusions and the general model, are relevant for the design of closed-loop myoelectric prostheses utilizing tactile feedback.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Providing somatosensory feedback to the user of a myoelectric prosthesis is an important goal since it can improve the utility as well as facilitate the embodiment of the assistive system. Most often, the grasping force was selected as the feedback variable and communicated through one or more individual single channel stimulation units (e.g., electrodes, vibration motors). In the present study, an integrated, compact, multichannel solution comprising an array electrode and a programmable stimulator was presented. Two coding schemes (15 levels), spatial and mixed (spatial and frequency) modulation, were tested in able-bodied subjects, psychometrically and in force control with routine grasping and force tracking using real and simulated prosthesis. The results demonstrated that mixed and spatial coding, although substantially different in psychometric tests, resulted in a similar performance during both force control tasks. Furthermore, the ideal, visual feedback was not better than the tactile feedback in routine grasping. To explain the observed results, a conceptual model was proposed emphasizing that the performance depends on multiple factors, including feedback uncertainty, nature of the task and the reliability of the feedforward control. The study outcomes, specific conclusions and the general model, are relevant for the design of closed-loop myoelectric prostheses utilizing tactile feedback.
2013
Fligge, N.; Urbanek, H.; der Smagt, P. Van
Relation between object properties and EMG during reaching to grasp Artikel
In: J. Electromyogr. Kinesiology, Bd. 23, Nr. 2, S. 402–410, 2013, ISSN: 1873-5711.
@article{Fligge2013,
title = {Relation between object properties and EMG during reaching to grasp},
author = {N. Fligge and H. Urbanek and P. Van der Smagt},
url = {https://www.embase.com/search/results?subaction=viewrecord&id=L52331059&from=export},
doi = {10.1016/j.jelekin.2012.10.010},
issn = {1873-5711},
year = {2013},
date = {2013-01-01},
journal = {J. Electromyogr. Kinesiology},
volume = {23},
number = {2},
pages = {402–410},
address = {N. Fligge, German Aerospace Center (DLR), Center for Robotics and Mechatronics, Muenchner Strasse 20, D-82234 Oberpfaffenhofen-Wessling, Germany},
abstract = {In order to stably grasp an object with an artificial hand, a priori knowledge of the object's properties is a major advantage, especially to ensure subsequent manipulation of the object held by the hand. This is also true for hand prostheses: pre-shaping of the hand while approaching the object, similar to able-bodied, allows the wearer for a much faster and more intuitive way of handling and grasping an object. For hand prostheses, it would be advantageous to obtain this information about object properties from a surface electromyography (sEMG) signal, which is already present and used to control the active prosthetic hand.We describe experiments in which human subjects grasp different objects at different positions while their muscular activity is recorded through eight sEMG electrodes placed on the forearm. Results show that sEMG data, gathered before the hand is in contact with the object, can be used to obtain relevant information on object properties such as size and weight. © 2012 Elsevier Ltd.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In order to stably grasp an object with an artificial hand, a priori knowledge of the object's properties is a major advantage, especially to ensure subsequent manipulation of the object held by the hand. This is also true for hand prostheses: pre-shaping of the hand while approaching the object, similar to able-bodied, allows the wearer for a much faster and more intuitive way of handling and grasping an object. For hand prostheses, it would be advantageous to obtain this information about object properties from a surface electromyography (sEMG) signal, which is already present and used to control the active prosthetic hand.We describe experiments in which human subjects grasp different objects at different positions while their muscular activity is recorded through eight sEMG electrodes placed on the forearm. Results show that sEMG data, gathered before the hand is in contact with the object, can be used to obtain relevant information on object properties such as size and weight. © 2012 Elsevier Ltd.