Knee joint angle estimation during gait cycle using low-cost inertial sensors

Author(s):  
F. Sanchez-Guzman ◽  
J. F. Guerrero-Castellanos ◽  
G. Mino-Aguilar ◽  
R. C. Ambrosio-Lazaro ◽  
J. Linares-Flores
2018 ◽  
Vol 10 (02) ◽  
pp. 1840008
Author(s):  
Alberto López-Delis ◽  
Cristiano J. Miosso ◽  
João L. A. Carvalho ◽  
Adson F. da Rocha ◽  
Geovany A. Borges

Information extracted from the surface electromyographic (sEMG) signals can allow for the detection of movement intention in transfemoral prostheses. The sEMG can help estimate the angle between the femur and the tibia in the sagittal plane. However, algorithms based exclusively on sEMG information can lead to inaccurate results. Data captured by inertial-sensors can improve this estimate. We propose three myoelectric algorithms that extract data from sEMG and inertial sensors using Kalman-filters. The proposed fusion-based algorithms showed improved performance compared to methods based exclusively on sEMG data, generating improvements in the accuracy of knee joint angle estimation and reducing estimation artifacts.


2021 ◽  
pp. 1-1
Author(s):  
Bingfei Fan ◽  
Qingguo Li ◽  
Tian Tan ◽  
Peiqi Kang ◽  
Peter B. Shull

2009 ◽  
Vol 42 (14) ◽  
pp. 2330-2335 ◽  
Author(s):  
J. Favre ◽  
R. Aissaoui ◽  
B.M. Jolles ◽  
J.A. de Guise ◽  
K. Aminian

Author(s):  
Wataru HAYASAKA ◽  
Kiyoshi TSURUMIYA ◽  
Yu IGARASHI ◽  
Akira KOMATSU ◽  
Takehiro IWAMI

AIP Advances ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 095042 ◽  
Author(s):  
Chen Yang ◽  
Xugang Xi ◽  
Sijia Chen ◽  
Seyed M. Miran ◽  
Xian Hua ◽  
...  

2021 ◽  
Vol 1805 (1) ◽  
pp. 012019
Author(s):  
Y M Zuchruf ◽  
T Asmaria ◽  
R Rulaningtyas ◽  
A Rahmatillah ◽  
I Kartika ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document