The assessment of the motor performance is an essential component of rehabilitation of humans with a disability. The wearable system is a preferable solution compared to the laboratory-based instrumentation for the clinical use. We integrated a system which combines array electrodes over the muscles of interest connected to the 24-channel digital amplifier and the shoe insole with five robust pressure transducers and one inertial measurement unit per leg. The system sends signals wirelessly to a computer. The graphical interface is simple for usage and simple to interpret. The EMG patterns (muscle activities) and gait events are synchronized by the software. The EMG patterns are determined by cubic spline interpolation of data from 24-pads over the muscle. The gait events are estimated by fuzzy logics applied on the thresholds from signals coming from the insole. The system was tested and accepted by the therapist as a useful and easy clinical tool.
Keywords:
gait assessment / stroke patients / motor performance / wearable systems
Source:
Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16–20, 2018, Pisa, Italy, 2019
TY - CONF
AU - Popović, Dejan
AU - Topalović, Ivan
AU - Dedijer Dujović, Suzana
AU - Konstantinović, Ljubica
PY - 2019
UR - https://dais.sanu.ac.rs/123456789/4669
AB - The assessment of the motor performance is an essential component of rehabilitation of humans with a disability. The wearable system is a preferable solution compared to the laboratory-based instrumentation for the clinical use. We integrated a system which combines array electrodes over the muscles of interest connected to the 24-channel digital amplifier and the shoe insole with five robust pressure transducers and one inertial measurement unit per leg. The system sends signals wirelessly to a computer. The graphical interface is simple for usage and simple to interpret. The EMG patterns (muscle activities) and gait events are synchronized by the software. The EMG patterns are determined by cubic spline interpolation of data from 24-pads over the muscle. The gait events are estimated by fuzzy logics applied on the thresholds from signals coming from the insole. The system was tested and accepted by the therapist as a useful and easy clinical tool.
PB - Springer Nature Switzerland AG
C3 - Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16–20, 2018, Pisa, Italy
T1 - Wearable system for the gait assessment in stroke patients
DO - 10.1007/978-3-030-01845-0
UR - https://hdl.handle.net/21.15107/rcub_dais_4669
ER -
@conference{
author = "Popović, Dejan and Topalović, Ivan and Dedijer Dujović, Suzana and Konstantinović, Ljubica",
year = "2019",
abstract = "The assessment of the motor performance is an essential component of rehabilitation of humans with a disability. The wearable system is a preferable solution compared to the laboratory-based instrumentation for the clinical use. We integrated a system which combines array electrodes over the muscles of interest connected to the 24-channel digital amplifier and the shoe insole with five robust pressure transducers and one inertial measurement unit per leg. The system sends signals wirelessly to a computer. The graphical interface is simple for usage and simple to interpret. The EMG patterns (muscle activities) and gait events are synchronized by the software. The EMG patterns are determined by cubic spline interpolation of data from 24-pads over the muscle. The gait events are estimated by fuzzy logics applied on the thresholds from signals coming from the insole. The system was tested and accepted by the therapist as a useful and easy clinical tool.",
publisher = "Springer Nature Switzerland AG",
journal = "Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16–20, 2018, Pisa, Italy",
title = "Wearable system for the gait assessment in stroke patients",
doi = "10.1007/978-3-030-01845-0",
url = "https://hdl.handle.net/21.15107/rcub_dais_4669"
}
Popović, D., Topalović, I., Dedijer Dujović, S.,& Konstantinović, L.. (2019). Wearable system for the gait assessment in stroke patients. in Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16–20, 2018, Pisa, Italy
Springer Nature Switzerland AG..
https://doi.org/10.1007/978-3-030-01845-0
https://hdl.handle.net/21.15107/rcub_dais_4669
Popović D, Topalović I, Dedijer Dujović S, Konstantinović L. Wearable system for the gait assessment in stroke patients. in Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16–20, 2018, Pisa, Italy. 2019;.
doi:10.1007/978-3-030-01845-0
https://hdl.handle.net/21.15107/rcub_dais_4669 .
Popović, Dejan, Topalović, Ivan, Dedijer Dujović, Suzana, Konstantinović, Ljubica, "Wearable system for the gait assessment in stroke patients" in Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16–20, 2018, Pisa, Italy (2019),
https://doi.org/10.1007/978-3-030-01845-0 .,
https://hdl.handle.net/21.15107/rcub_dais_4669 .
,