2010
Luo, R; Norton, J; Donaldson, N
Can the coherence between two EMG signals be used to measure the voluntary drive in paretic muscles? Inproceedings
In: Mandl, T; Martinek, J; Bijak, M; Lanmueller, H; Mayr, W; Pichler, M (Ed.): pp. 026, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria, Imperial Riding School, Vienna, Austria, 2010, ISSN: 978-3-900928-09-4.
Abstract | Links | BibTeX | Tags: Algorithms - non invasive 1, Controls, Sensors
@inproceedings{IFESS2010_026b,
title = {Can the coherence between two EMG signals be used to measure the voluntary drive in paretic muscles?},
author = {R Luo and J Norton and N Donaldson},
editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},
url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},
issn = {978-3-900928-09-4},
year = {2010},
date = {2010-09-01},
pages = {026},
publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},
address = {Imperial Riding School, Vienna, Austria},
abstract = {Coherence is found in EMG-EMG signals during voluntary contraction of the muscles that work synergistically. This is resultant from the shared drive of motor units to the different motorneuron pools [1]. We would like to study the relationship of EMG signals between different muscle pairs during FES cycling using the coherence analysis. The hypothesis is that the frequency at which the coherence between two synergistically activated muscles peaks is related to the voluntary drive and is not influenced by the stimulation with suitable frequency. If that is the case, coherence can then serve as an indication of presence of voluntary drive and could be used for feedback control of FES cycling.},
keywords = {Algorithms - non invasive 1, Controls, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
Coherence is found in EMG-EMG signals during voluntary contraction of the muscles that work synergistically. This is resultant from the shared drive of motor units to the different motorneuron pools [1]. We would like to study the relationship of EMG signals between different muscle pairs during FES cycling using the coherence analysis. The hypothesis is that the frequency at which the coherence between two synergistically activated muscles peaks is related to the voluntary drive and is not influenced by the stimulation with suitable frequency. If that is the case, coherence can then serve as an indication of presence of voluntary drive and could be used for feedback control of FES cycling.
Malik, N A; Chappell, P H; Wood, D; Taylor, P
Event Detection for Gluteal or Hamstring Stimulation During Walking in Neurological Patients Inproceedings
In: Mandl, T; Martinek, J; Bijak, M; Lanmueller, H; Mayr, W; Pichler, M (Ed.): pp. 025, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria, Imperial Riding School, Vienna, Austria, 2010, ISSN: 978-3-900928-09-4.
Abstract | Links | BibTeX | Tags: Algorithms - non invasive 1, Controls, Sensors
@inproceedings{IFESS2010_025b,
title = {Event Detection for Gluteal or Hamstring Stimulation During Walking in Neurological Patients},
author = {N A Malik and P H Chappell and D Wood and P Taylor},
editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},
url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},
issn = {978-3-900928-09-4},
year = {2010},
date = {2010-09-01},
pages = {025},
publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},
address = {Imperial Riding School, Vienna, Austria},
abstract = {An algorithm to detect when the tibia is vertical is presented. Its intended use is to trigger a functional electrical stimulation (FES) device for either the rotation or extension of the hip (gluteal stimulation) or flexion of the knee (hamstring stimulation) in neurological patients. The algorithm comprises a correlation coefficient calculation and a set of threshold rules. Data from a healthy subject has been used as a sample window for the correlation coefficient calculation for all the neurological patients. The sample window chosen detects correctly the events in five out of seven patients. For one patient, a sample window selected from the same patient data has been used successfully in the detection. All the results have showed no missing events during walking when compared to a footswitch.},
keywords = {Algorithms - non invasive 1, Controls, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
An algorithm to detect when the tibia is vertical is presented. Its intended use is to trigger a functional electrical stimulation (FES) device for either the rotation or extension of the hip (gluteal stimulation) or flexion of the knee (hamstring stimulation) in neurological patients. The algorithm comprises a correlation coefficient calculation and a set of threshold rules. Data from a healthy subject has been used as a sample window for the correlation coefficient calculation for all the neurological patients. The sample window chosen detects correctly the events in five out of seven patients. For one patient, a sample window selected from the same patient data has been used successfully in the detection. All the results have showed no missing events during walking when compared to a footswitch.
Luo, R; Norton, J; Donaldson, N
Can the coherence between two EMG signals be used to measure the voluntary drive in paretic muscles? Inproceedings
In: Mandl, T; Martinek, J; Bijak, M; Lanmueller, H; Mayr, W; Pichler, M (Ed.): pp. 026, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria, Imperial Riding School, Vienna, Austria, 2010, ISBN: 978-3-900928-09-4.
Abstract | Links | BibTeX | Tags: Algorithms - non invasive 1, Controls, Sensors
@inproceedings{IFESS2010_026,
title = {Can the coherence between two EMG signals be used to measure the voluntary drive in paretic muscles?},
author = {R Luo and J Norton and N Donaldson},
editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},
url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},
isbn = {978-3-900928-09-4},
year = {2010},
date = {2010-09-01},
pages = {026},
publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},
address = {Imperial Riding School, Vienna, Austria},
abstract = {Coherence is found in EMG-EMG signals during voluntary contraction of the muscles that work synergistically. This is resultant from the shared drive of motor units to the different motorneuron pools [1]. We would like to study the relationship of EMG signals between different muscle pairs during FES cycling using the coherence analysis. The hypothesis is that the frequency at which the coherence between two synergistically activated muscles peaks is related to the voluntary drive and is not influenced by the stimulation with suitable frequency. If that is the case, coherence can then serve as an indication of presence of voluntary drive and could be used for feedback control of FES cycling.},
keywords = {Algorithms - non invasive 1, Controls, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
Coherence is found in EMG-EMG signals during voluntary contraction of the muscles that work synergistically. This is resultant from the shared drive of motor units to the different motorneuron pools [1]. We would like to study the relationship of EMG signals between different muscle pairs during FES cycling using the coherence analysis. The hypothesis is that the frequency at which the coherence between two synergistically activated muscles peaks is related to the voluntary drive and is not influenced by the stimulation with suitable frequency. If that is the case, coherence can then serve as an indication of presence of voluntary drive and could be used for feedback control of FES cycling.
Malik, N A; Chappell, P H; Wood, D; Taylor, P
Event Detection for Gluteal or Hamstring Stimulation During Walking in Neurological Patients Inproceedings
In: Mandl, T; Martinek, J; Bijak, M; Lanmueller, H; Mayr, W; Pichler, M (Ed.): pp. 025, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria, Imperial Riding School, Vienna, Austria, 2010, ISBN: 978-3-900928-09-4.
Abstract | Links | BibTeX | Tags: Algorithms - non invasive 1, Controls, Sensors
@inproceedings{IFESS2010_025,
title = {Event Detection for Gluteal or Hamstring Stimulation During Walking in Neurological Patients},
author = {N A Malik and P H Chappell and D Wood and P Taylor},
editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},
url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},
isbn = {978-3-900928-09-4},
year = {2010},
date = {2010-09-01},
pages = {025},
publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},
address = {Imperial Riding School, Vienna, Austria},
abstract = {An algorithm to detect when the tibia is vertical is presented. Its intended use is to trigger a functional electrical stimulation (FES) device for either the rotation or extension of the hip (gluteal stimulation) or flexion of the knee (hamstring stimulation) in neurological patients. The algorithm comprises a correlation coefficient calculation and a set of threshold rules. Data from a healthy subject has been used as a sample window for the correlation coefficient calculation for all the neurological patients. The sample window chosen detects correctly the events in five out of seven patients. For one patient, a sample window selected from the same patient data has been used successfully in the detection. All the results have showed no missing events during walking when compared to a footswitch.},
keywords = {Algorithms - non invasive 1, Controls, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
An algorithm to detect when the tibia is vertical is presented. Its intended use is to trigger a functional electrical stimulation (FES) device for either the rotation or extension of the hip (gluteal stimulation) or flexion of the knee (hamstring stimulation) in neurological patients. The algorithm comprises a correlation coefficient calculation and a set of threshold rules. Data from a healthy subject has been used as a sample window for the correlation coefficient calculation for all the neurological patients. The sample window chosen detects correctly the events in five out of seven patients. For one patient, a sample window selected from the same patient data has been used successfully in the detection. All the results have showed no missing events during walking when compared to a footswitch.
Koutsou, A; Moreno, J C; Rocon, E; Gallego, J A; Pons, J L
Output-Error Model System Identification for FES-driven control of Knee Extensor Muscles Inproceedings
In: Mandl, T; Martinek, J; Bijak, M; Lanmueller, H; Mayr, W; Pichler, M (Ed.): pp. 030, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria, Imperial Riding School, Vienna, Austria, 2010, ISBN: 978-3-900928-09-4.
Abstract | Links | BibTeX | Tags: Algorithms - non invasive 1, Controls, Sensors
@inproceedings{IFESS2010_030,
title = {Output-Error Model System Identification for FES-driven control of Knee Extensor Muscles},
author = {A Koutsou and J C Moreno and E Rocon and J A Gallego and J L Pons},
editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},
url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},
isbn = {978-3-900928-09-4},
year = {2010},
date = {2010-09-01},
pages = {030},
publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},
address = {Imperial Riding School, Vienna, Austria},
abstract = {The biomechanical model of the lower limb musculoskeletal junaion can be useful when designing and adapting an assistive system in case of impaired control of the limbs or individual joints, eg. knee injuries, spinal cord injuries (SCI), etc. In particular, FES-driven neuroprostheses can be used to assist impaired leg function. Simple but accurate models are required as tools that assist in tuning such neuroprostheses. This work presents a methodology to identify a non-analytical model of the human knee extensors under Functional Electrical Stimulation (FES) of extensor muscles. A unique model of the swing knee extension of individml subjects is suwected to system identification, based on information provided by a knee brace instrumented with rate gyrosoopes. The model idam?cation method was tested with healthy an injured knees. The estimated knee joint velocities verify that theadapted polynomial models can be used to predict the muscle extensors permnance in a swinging leg free motion.},
keywords = {Algorithms - non invasive 1, Controls, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
The biomechanical model of the lower limb musculoskeletal junaion can be useful when designing and adapting an assistive system in case of impaired control of the limbs or individual joints, eg. knee injuries, spinal cord injuries (SCI), etc. In particular, FES-driven neuroprostheses can be used to assist impaired leg function. Simple but accurate models are required as tools that assist in tuning such neuroprostheses. This work presents a methodology to identify a non-analytical model of the human knee extensors under Functional Electrical Stimulation (FES) of extensor muscles. A unique model of the swing knee extension of individml subjects is suwected to system identification, based on information provided by a knee brace instrumented with rate gyrosoopes. The model idam?cation method was tested with healthy an injured knees. The estimated knee joint velocities verify that theadapted polynomial models can be used to predict the muscle extensors permnance in a swinging leg free motion.
Miura, N; Watanabe, T. andKanai
A Preliminary Study of Muscle Fatigue Evaluation Using M-waves elicited by additional pulses for Rehabilitation with FES Inproceedings
In: Mandl, T; Martinek, J; Bijak, M; Lanmueller, H; Mayr, W; Pichler, M (Ed.): pp. 028, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria, Imperial Riding School, Vienna, Austria, 2010, ISBN: 978-3-900928-09-4.
Abstract | Links | BibTeX | Tags: Algorithms - non invasive 1, Controls, Sensors
@inproceedings{IFESS2010_028,
title = {A Preliminary Study of Muscle Fatigue Evaluation Using M-waves elicited by additional pulses for Rehabilitation with FES},
author = {N Miura and T.andKanai Watanabe},
editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},
url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},
isbn = {978-3-900928-09-4},
year = {2010},
date = {2010-09-01},
pages = {028},
publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},
address = {Imperial Riding School, Vienna, Austria},
abstract = {Early occurrence of muscle fatigue is one of problems on FES. We focused on using M-waves elicited by the additional pulses in muscle fatigue evaluation during rehabilitation training with the surface stimulation system. In this report, a preliminary test of measurement of M-waves elicited by the additional pulses was performed under the two conditions: knee extension force production under the isometric condition and knee extension angle control by fuzzy controller based on the cycle-to-cycle control. The change in M-wave elicited by the single pulse in a burst stimulation for FES was less relevant result against decrease of force production under the isometric condition and increase of burst duration under the knee extension angle control during the muscle fatiguing. The decreasing of the M-wave elicited by the 2nd pulse of a double-pulse was observed with both experiments. These results suggest that M-waves elicited by the additional pulses would provide useful information for muscle fatigue evaluation.},
keywords = {Algorithms - non invasive 1, Controls, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
Early occurrence of muscle fatigue is one of problems on FES. We focused on using M-waves elicited by the additional pulses in muscle fatigue evaluation during rehabilitation training with the surface stimulation system. In this report, a preliminary test of measurement of M-waves elicited by the additional pulses was performed under the two conditions: knee extension force production under the isometric condition and knee extension angle control by fuzzy controller based on the cycle-to-cycle control. The change in M-wave elicited by the single pulse in a burst stimulation for FES was less relevant result against decrease of force production under the isometric condition and increase of burst duration under the knee extension angle control during the muscle fatiguing. The decreasing of the M-wave elicited by the 2nd pulse of a double-pulse was observed with both experiments. These results suggest that M-waves elicited by the additional pulses would provide useful information for muscle fatigue evaluation.
Merletti, R; Botter, A; Minetto, M A
Spinal involvement and muscle cramps in electrically-elicited muscle contractions Inproceedings
In: Mandl, T; Martinek, J; Bijak, M; Lanmueller, H; Mayr, W; Pichler, M (Ed.): pp. 024, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria, Imperial Riding School, Vienna, Austria, 2010, ISBN: 978-3-900928-09-4.
Abstract | Links | BibTeX | Tags: Algorithms - non invasive 1, Controls, Sensors
@inproceedings{IFESS2010_024,
title = {Spinal involvement and muscle cramps in electrically-elicited muscle contractions},
author = {R Merletti and A Botter and M A Minetto},
editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},
url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},
isbn = {978-3-900928-09-4},
year = {2010},
date = {2010-09-01},
pages = {024},
publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},
address = {Imperial Riding School, Vienna, Austria},
abstract = {Electrical stimulation of innervated muscles has been investigated for many decades with alternations of high and low clinical interest in the fields of stroke, SCI rehabilitation, and sport sciences. Early work demonstrated that afferent fibers have lower thresholds and are usually activated first (therefore eliciting an H-reflex). In the case of nerve trunk stimulation, the order of recruitment is mostly conditioned by the axonal dimension and excitability threshold. In the case of muscle motor point stimulation, the spatial distribution of nerve branches plays a predominant role. Sustained stimulation produces a progressive increase of force that is often maintained in subsequent voluntary activation by stroke patients. This observation suggested a facilitation mechanism at the spinal and/or supraspinal levels. Such facilitation has been observed in healthy subjects as well, and may explain the generation of cramps elicited during stimulation and sustained for dozens of seconds after stimulation has been interrupted. The most recent interpretations of facilitation resulting from peripheral stimulation focused on pre- (potentiation of neurotransmitter release from afferent fibers) or post-synaptic (generation of "Persistent Inward Currents" in spinal motor neurons or interneurons) mechanisms. The renewed attention to these phenomena is once more increasing the interest toward electrical stimulation of the neuromuscular system. This is an opportunity for a structured investigation of the field aimed to resolving elements of confusion and controversy that still plague this area of electrophysiology.},
keywords = {Algorithms - non invasive 1, Controls, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
Electrical stimulation of innervated muscles has been investigated for many decades with alternations of high and low clinical interest in the fields of stroke, SCI rehabilitation, and sport sciences. Early work demonstrated that afferent fibers have lower thresholds and are usually activated first (therefore eliciting an H-reflex). In the case of nerve trunk stimulation, the order of recruitment is mostly conditioned by the axonal dimension and excitability threshold. In the case of muscle motor point stimulation, the spatial distribution of nerve branches plays a predominant role. Sustained stimulation produces a progressive increase of force that is often maintained in subsequent voluntary activation by stroke patients. This observation suggested a facilitation mechanism at the spinal and/or supraspinal levels. Such facilitation has been observed in healthy subjects as well, and may explain the generation of cramps elicited during stimulation and sustained for dozens of seconds after stimulation has been interrupted. The most recent interpretations of facilitation resulting from peripheral stimulation focused on pre- (potentiation of neurotransmitter release from afferent fibers) or post-synaptic (generation of "Persistent Inward Currents" in spinal motor neurons or interneurons) mechanisms. The renewed attention to these phenomena is once more increasing the interest toward electrical stimulation of the neuromuscular system. This is an opportunity for a structured investigation of the field aimed to resolving elements of confusion and controversy that still plague this area of electrophysiology.
Kamavuako, E N; Farina, D
Stimulus-response curves: Effect of recording site and inter-electrode distance Inproceedings
In: Mandl, T; Martinek, J; Bijak, M; Lanmueller, H; Mayr, W; Pichler, M (Ed.): pp. 027, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria, Imperial Riding School, Vienna, Austria, 2010, ISBN: 978-3-900928-09-4.
Abstract | Links | BibTeX | Tags: Algorithms - non invasive 1, Controls, Sensors
@inproceedings{IFESS2010_027,
title = {Stimulus-response curves: Effect of recording site and inter-electrode distance},
author = {E N Kamavuako and D Farina},
editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},
url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},
isbn = {978-3-900928-09-4},
year = {2010},
date = {2010-09-01},
pages = {027},
publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},
address = {Imperial Riding School, Vienna, Austria},
abstract = {This paper investigates whether the indexes of the stimulus-response (SR) curves of human motor nerves depend on the recording site and on the inter-electrode distance (5-35mm) in 18 healthy subjects. SR curves were measured by stimulating the peroneal nerve, with the compound muscle action potential (CMAP) recorded on the tibialis anterior muscle using a linear adhesive array of 8 electrodes. Each SR curve was characterized using the threshold intensity of stimulation to obtain 5, 10, 50, 90 and 95% (I5%, I10%, I50%, I90%, and I95%) of the CMAP computed on the basis of four parameters (peak, area, peak-to-peak, and total area). The results showed no significant differences between recoding sites and inter-electrode distances. Although no significant difference was found between parameters, the peak-to-peak value had the most consistent threshold intensities across inter-electrode distances. It is concluded that electrode positioning along the direction of the muscle fibers and inter-electrode distance do not have a significant influence on the characteristics of the normalized SR curve.},
keywords = {Algorithms - non invasive 1, Controls, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper investigates whether the indexes of the stimulus-response (SR) curves of human motor nerves depend on the recording site and on the inter-electrode distance (5-35mm) in 18 healthy subjects. SR curves were measured by stimulating the peroneal nerve, with the compound muscle action potential (CMAP) recorded on the tibialis anterior muscle using a linear adhesive array of 8 electrodes. Each SR curve was characterized using the threshold intensity of stimulation to obtain 5, 10, 50, 90 and 95% (I5%, I10%, I50%, I90%, and I95%) of the CMAP computed on the basis of four parameters (peak, area, peak-to-peak, and total area). The results showed no significant differences between recoding sites and inter-electrode distances. Although no significant difference was found between parameters, the peak-to-peak value had the most consistent threshold intensities across inter-electrode distances. It is concluded that electrode positioning along the direction of the muscle fibers and inter-electrode distance do not have a significant influence on the characteristics of the normalized SR curve.
Zhang, Q; Hayashibe, M; Sablayrolles, B; Azevedo-Coste, C
Torque Prediction Based on Evoked EMG in Fatiguing Muscle Toward Advanced Drop Foot Correction Inproceedings
In: Mandl, T; Martinek, J; Bijak, M; Lanmueller, H; Mayr, W; Pichler, M (Ed.): pp. 029, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria, Imperial Riding School, Vienna, Austria, 2010, ISBN: 978-3-900928-09-4.
Abstract | Links | BibTeX | Tags: Algorithms - non invasive 1, Controls, Sensors
@inproceedings{IFESS2010_029,
title = {Torque Prediction Based on Evoked EMG in Fatiguing Muscle Toward Advanced Drop Foot Correction},
author = {Q Zhang and M Hayashibe and B Sablayrolles and C Azevedo-Coste},
editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},
url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},
isbn = {978-3-900928-09-4},
year = {2010},
date = {2010-09-01},
pages = {029},
publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},
address = {Imperial Riding School, Vienna, Austria},
abstract = {Electrical stimulation (ES) has been applied since 1961 for the correction of hemiplegic drop foot. One main drawback of the technique is the occurrence of early fatigue. Therefore, it is essential to predict force generation for precise ES closed loop control when the stimulated muscle becomes fatigued. This work aims to predict ankle torque using stimulus evoked EMG (eEMG) during different muscle fatigue states. Five healthy subjects participated in our study. Conventional stimulation for drop foot correction was applied by surface stimulation in sitting position. The results showed that during long-term stimulation the generated torque gradually declined due to muscle fatigue, the muscle activity (EMG) performed quite differently in different fatigue level. In this work, we carried out the torque prediction with an adapted parameters model according to muscle fatigue state by reidentification using the latest measurement. The prediction was improved with 21%~90.9% comparing to the fixed parameters model. The results revealed a promising approach to use evoked EMG for fatigue compensation in the application of drop foot correction.},
keywords = {Algorithms - non invasive 1, Controls, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
Electrical stimulation (ES) has been applied since 1961 for the correction of hemiplegic drop foot. One main drawback of the technique is the occurrence of early fatigue. Therefore, it is essential to predict force generation for precise ES closed loop control when the stimulated muscle becomes fatigued. This work aims to predict ankle torque using stimulus evoked EMG (eEMG) during different muscle fatigue states. Five healthy subjects participated in our study. Conventional stimulation for drop foot correction was applied by surface stimulation in sitting position. The results showed that during long-term stimulation the generated torque gradually declined due to muscle fatigue, the muscle activity (EMG) performed quite differently in different fatigue level. In this work, we carried out the torque prediction with an adapted parameters model according to muscle fatigue state by reidentification using the latest measurement. The prediction was improved with 21%~90.9% comparing to the fixed parameters model. The results revealed a promising approach to use evoked EMG for fatigue compensation in the application of drop foot correction.