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Pregled bibliografske jedinice broj: 873340

A Novel Gait Detection Algorithm Based on Wireless Inertial Sensors

Gao, Yueming; Jiang, Ziqin; Ni, Wenshu; Lučev Vasić, Željka; Cifrek, Mario; Du , Min; Vai, Mang I; Pun, Sio Hang
A Novel Gait Detection Algorithm Based on Wireless Inertial Sensors // IFMBE Proceedings of the International Conference on Medical and Biological Engineering 2017, volume 62 / Badnjević, Almir (ur.).
Singapur: Springer, 2017. str. 300-304 doi:10.1007/978-981-10-4166-2_45 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
A Novel Gait Detection Algorithm Based on Wireless Inertial Sensors

Autori
Gao, Yueming ; Jiang, Ziqin ; Ni, Wenshu ; Lučev Vasić, Željka ; Cifrek, Mario ; Du , Min ; Vai, Mang I ; Pun, Sio Hang

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
IFMBE Proceedings of the International Conference on Medical and Biological Engineering 2017, volume 62 / Badnjević, Almir - Singapur : Springer, 2017, 300-304

ISBN
978-981-10-4165-5

Skup
International Conference on Medical and Biological Engineering 2017, CMBEBIH 2017

Mjesto i datum
Sarajevo, Bosna i Hercegovina, 16.03.2017. - 18.03.2017

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Event detection, wireless inertial sensor, the updating threshold, the cycle-extremum

Sažetak
Gait event detection has been widely implemented in real-time gait monitoring devices, orthoses and FES system. Certainly, the latency and the accuracy of the gait-even detection under diversities of gait are crucial. However, due to the high detection accuracy usually comes with high time-delay, it is somewhat hard to find a trade-off between high accuracy and low latency. Therefore, this paper presents a real-time algorithm based on wireless inertial sensor placed on the shank for gait-even detection. It combines the use of the cycle-extremum and the updating threshold method to detected the heel- strike (HS), as the minimum of the flexion/extension angle, the toe-off (TO), as minimum of the angular velocity and the mid- swing (MS), as maximum of the angular velocity. The angle and angular velocity were collected from 2 subjects who imitated the patient that suffered from drop- foot for different degrees to validate the algorithm against the wireless inertial measurement system. The results showed that the proposed method achieved comparable levels of accuracy and significant lower detection delays compared with other published methods.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Mario Cifrek (autor)

Avatar Url Željka Lučev Vasić (autor)

Poveznice na cjeloviti tekst rada:

doi link.springer.com

Citiraj ovu publikaciju:

Gao, Yueming; Jiang, Ziqin; Ni, Wenshu; Lučev Vasić, Željka; Cifrek, Mario; Du , Min; Vai, Mang I; Pun, Sio Hang
A Novel Gait Detection Algorithm Based on Wireless Inertial Sensors // IFMBE Proceedings of the International Conference on Medical and Biological Engineering 2017, volume 62 / Badnjević, Almir (ur.).
Singapur: Springer, 2017. str. 300-304 doi:10.1007/978-981-10-4166-2_45 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Gao, Y., Jiang, Z., Ni, W., Lučev Vasić, Ž., Cifrek, M., Du , M., Vai, M. & Pun, S. (2017) A Novel Gait Detection Algorithm Based on Wireless Inertial Sensors. U: Badnjević, A. (ur.)IFMBE Proceedings of the International Conference on Medical and Biological Engineering 2017, volume 62 doi:10.1007/978-981-10-4166-2_45.
@article{article, author = {Gao, Yueming and Jiang, Ziqin and Ni, Wenshu and Lu\v{c}ev Vasi\'{c}, \v{Z}eljka and Cifrek, Mario and Du, Min and Vai, Mang I and Pun, Sio Hang}, editor = {Badnjevi\'{c}, A.}, year = {2017}, pages = {300-304}, DOI = {10.1007/978-981-10-4166-2\_45}, keywords = {Event detection, wireless inertial sensor, the updating threshold, the cycle-extremum}, doi = {10.1007/978-981-10-4166-2\_45}, isbn = {978-981-10-4165-5}, title = {A Novel Gait Detection Algorithm Based on Wireless Inertial Sensors}, keyword = {Event detection, wireless inertial sensor, the updating threshold, the cycle-extremum}, publisher = {Springer}, publisherplace = {Sarajevo, Bosna i Hercegovina} }
@article{article, author = {Gao, Yueming and Jiang, Ziqin and Ni, Wenshu and Lu\v{c}ev Vasi\'{c}, \v{Z}eljka and Cifrek, Mario and Du, Min and Vai, Mang I and Pun, Sio Hang}, editor = {Badnjevi\'{c}, A.}, year = {2017}, pages = {300-304}, DOI = {10.1007/978-981-10-4166-2\_45}, keywords = {Event detection, wireless inertial sensor, the updating threshold, the cycle-extremum}, doi = {10.1007/978-981-10-4166-2\_45}, isbn = {978-981-10-4165-5}, title = {A Novel Gait Detection Algorithm Based on Wireless Inertial Sensors}, keyword = {Event detection, wireless inertial sensor, the updating threshold, the cycle-extremum}, publisher = {Springer}, publisherplace = {Sarajevo, Bosna i Hercegovina} }

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