A multi-channel biomimetic neuroprosthesis to support treadmill gait training in stroke patients

Noelia Chia, Emilia Ambrosini, Walter Baccinelli, Antonio Nardone, Marco Monticone, Giancarlo Ferrigno, Alessandra Pedrocchi, Simona Ferrante

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This study presents an innovative multi-channel neuroprosthesis that induces a biomimetic activation of the main lower-limb muscles during treadmill gait training to be used in the rehabilitation of stroke patients. The electrostimulation strategy replicates the physiological muscle synergies used by healthy subjects to walk on a treadmill at their self-selected speed. This strategy is mapped to the current gait sub-phases, which are identified in real time by a custom algorithm. This algorithm divides the gait cycle into six sub-phases, based on two inertial sensors placed laterally on the shanks. Therefore, the pre-defined stimulation profiles are expanded or stretched based on the actual gait pattern of each single subject. A preliminary experimental protocol, involving 10 healthy volunteers, was carried out to extract the muscle synergies and validate the gait-detection algorithm, which were afterwards used in the development of the neuroprosthesis. The feasibility of the neuroprosthesis was tested on one healthy subject who simulated different gait patterns, and a chronic stroke patient. The results showed the correct functioning of the system. A pilot study of the neurorehabilitation treatment for stroke patients is currently being carried out.

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7159-7162
Number of pages4
Volume2015-November
ISBN (Print)9781424492718
DOIs
Publication statusPublished - Nov 4 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: Aug 25 2015Aug 29 2015

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
CountryItaly
CityMilan
Period8/25/158/29/15

Fingerprint

Exercise equipment
Biomimetics
Gait
Muscle
Stroke
Healthy Volunteers
Patient rehabilitation
Muscles
Chemical activation
Sensors
Lower Extremity

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Chia, N., Ambrosini, E., Baccinelli, W., Nardone, A., Monticone, M., Ferrigno, G., ... Ferrante, S. (2015). A multi-channel biomimetic neuroprosthesis to support treadmill gait training in stroke patients. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (Vol. 2015-November, pp. 7159-7162). [7320043] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7320043

A multi-channel biomimetic neuroprosthesis to support treadmill gait training in stroke patients. / Chia, Noelia; Ambrosini, Emilia; Baccinelli, Walter; Nardone, Antonio; Monticone, Marco; Ferrigno, Giancarlo; Pedrocchi, Alessandra; Ferrante, Simona.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. p. 7159-7162 7320043.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chia, N, Ambrosini, E, Baccinelli, W, Nardone, A, Monticone, M, Ferrigno, G, Pedrocchi, A & Ferrante, S 2015, A multi-channel biomimetic neuroprosthesis to support treadmill gait training in stroke patients. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. vol. 2015-November, 7320043, Institute of Electrical and Electronics Engineers Inc., pp. 7159-7162, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 8/25/15. https://doi.org/10.1109/EMBC.2015.7320043
Chia N, Ambrosini E, Baccinelli W, Nardone A, Monticone M, Ferrigno G et al. A multi-channel biomimetic neuroprosthesis to support treadmill gait training in stroke patients. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2015-November. Institute of Electrical and Electronics Engineers Inc. 2015. p. 7159-7162. 7320043 https://doi.org/10.1109/EMBC.2015.7320043
Chia, Noelia ; Ambrosini, Emilia ; Baccinelli, Walter ; Nardone, Antonio ; Monticone, Marco ; Ferrigno, Giancarlo ; Pedrocchi, Alessandra ; Ferrante, Simona. / A multi-channel biomimetic neuroprosthesis to support treadmill gait training in stroke patients. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. pp. 7159-7162
@inproceedings{78f001ab00574082b0601407ca28d259,
title = "A multi-channel biomimetic neuroprosthesis to support treadmill gait training in stroke patients",
abstract = "This study presents an innovative multi-channel neuroprosthesis that induces a biomimetic activation of the main lower-limb muscles during treadmill gait training to be used in the rehabilitation of stroke patients. The electrostimulation strategy replicates the physiological muscle synergies used by healthy subjects to walk on a treadmill at their self-selected speed. This strategy is mapped to the current gait sub-phases, which are identified in real time by a custom algorithm. This algorithm divides the gait cycle into six sub-phases, based on two inertial sensors placed laterally on the shanks. Therefore, the pre-defined stimulation profiles are expanded or stretched based on the actual gait pattern of each single subject. A preliminary experimental protocol, involving 10 healthy volunteers, was carried out to extract the muscle synergies and validate the gait-detection algorithm, which were afterwards used in the development of the neuroprosthesis. The feasibility of the neuroprosthesis was tested on one healthy subject who simulated different gait patterns, and a chronic stroke patient. The results showed the correct functioning of the system. A pilot study of the neurorehabilitation treatment for stroke patients is currently being carried out.",
author = "Noelia Chia and Emilia Ambrosini and Walter Baccinelli and Antonio Nardone and Marco Monticone and Giancarlo Ferrigno and Alessandra Pedrocchi and Simona Ferrante",
year = "2015",
month = "11",
day = "4",
doi = "10.1109/EMBC.2015.7320043",
language = "English",
isbn = "9781424492718",
volume = "2015-November",
pages = "7159--7162",
booktitle = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - A multi-channel biomimetic neuroprosthesis to support treadmill gait training in stroke patients

AU - Chia, Noelia

AU - Ambrosini, Emilia

AU - Baccinelli, Walter

AU - Nardone, Antonio

AU - Monticone, Marco

AU - Ferrigno, Giancarlo

AU - Pedrocchi, Alessandra

AU - Ferrante, Simona

PY - 2015/11/4

Y1 - 2015/11/4

N2 - This study presents an innovative multi-channel neuroprosthesis that induces a biomimetic activation of the main lower-limb muscles during treadmill gait training to be used in the rehabilitation of stroke patients. The electrostimulation strategy replicates the physiological muscle synergies used by healthy subjects to walk on a treadmill at their self-selected speed. This strategy is mapped to the current gait sub-phases, which are identified in real time by a custom algorithm. This algorithm divides the gait cycle into six sub-phases, based on two inertial sensors placed laterally on the shanks. Therefore, the pre-defined stimulation profiles are expanded or stretched based on the actual gait pattern of each single subject. A preliminary experimental protocol, involving 10 healthy volunteers, was carried out to extract the muscle synergies and validate the gait-detection algorithm, which were afterwards used in the development of the neuroprosthesis. The feasibility of the neuroprosthesis was tested on one healthy subject who simulated different gait patterns, and a chronic stroke patient. The results showed the correct functioning of the system. A pilot study of the neurorehabilitation treatment for stroke patients is currently being carried out.

AB - This study presents an innovative multi-channel neuroprosthesis that induces a biomimetic activation of the main lower-limb muscles during treadmill gait training to be used in the rehabilitation of stroke patients. The electrostimulation strategy replicates the physiological muscle synergies used by healthy subjects to walk on a treadmill at their self-selected speed. This strategy is mapped to the current gait sub-phases, which are identified in real time by a custom algorithm. This algorithm divides the gait cycle into six sub-phases, based on two inertial sensors placed laterally on the shanks. Therefore, the pre-defined stimulation profiles are expanded or stretched based on the actual gait pattern of each single subject. A preliminary experimental protocol, involving 10 healthy volunteers, was carried out to extract the muscle synergies and validate the gait-detection algorithm, which were afterwards used in the development of the neuroprosthesis. The feasibility of the neuroprosthesis was tested on one healthy subject who simulated different gait patterns, and a chronic stroke patient. The results showed the correct functioning of the system. A pilot study of the neurorehabilitation treatment for stroke patients is currently being carried out.

UR - http://www.scopus.com/inward/record.url?scp=84953241904&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84953241904&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2015.7320043

DO - 10.1109/EMBC.2015.7320043

M3 - Conference contribution

SN - 9781424492718

VL - 2015-November

SP - 7159

EP - 7162

BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

PB - Institute of Electrical and Electronics Engineers Inc.

ER -