A wearable electromyography-controlled functional electrical stimulation system improves balance, gait function, and symmetry in older adults

2021 ◽  
pp. 1-13
Author(s):  
Hye-Kang Park ◽  
Joonyoung Jung ◽  
Dong-Woo Lee ◽  
Hyung Cheol Shin ◽  
Hwang-Jae Lee ◽  
...  

BACKGROUND: Wearable technologies have been developed for healthy aging. The technology for electromyography (EMG)-controlled functional electrical stimulation (FES) systems has been developed, but research on how helpful it is in daily life has been insufficient. OBJECTIVE: The purpose of this study was to investigate the effect of the EMG-controlled FES system on muscle morphology, balance, and gait in older adults. METHODS: Twenty-nine older adults were evaluated under two randomly assigned conditions (non-FES and FES assists). Muscle morphology, balance, gait function, and muscle effort during gait were measured using ultrasonography, a physical test, a gait analysis system, and EMG. RESULTS: The EMG-controlled FES system improved gait speed by 11.1% and cadence by 15.6% (P< 0.01). The symmetry ratio of the bilateral gastrocnemius was improved by 9.9% in the stance phase and 11.8% in the swing phase (P< 0.05). The degrees of coactivation of the knee and ankle muscles were reduced by 45.1% and 50.5%, respectively (P< 0.05). Balance improved by 6–10.7% (P< 0.01). CONCLUSION: The EMG-controlled FES system is useful for balance and gait function by increasing muscle symmetry and decreasing muscle coactivation during walking in older adults.

2018 ◽  
Vol 18 (16) ◽  
pp. 6812-6821 ◽  
Author(s):  
Yu Zhou ◽  
Yinfeng Fang ◽  
Kai Gui ◽  
Kairu Li ◽  
Dingguo Zhang ◽  
...  

2016 ◽  
Vol 38 (11) ◽  
pp. 1232-1243 ◽  
Author(s):  
C. Klauer ◽  
S. Ferrante ◽  
E. Ambrosini ◽  
U. Shiri ◽  
F. Dähne ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Bethel A. C. Osuagwu ◽  
Emily Whicher ◽  
Rebecca Shirley

AbstractNeurophysiological theories and past studies suggest that intention driven functional electrical stimulation (FES) could be effective in motor neurorehabilitation. Proportional control of FES using voluntary EMG may be used for this purpose. Electrical artefact contamination of voluntary electromyogram (EMG) during FES application makes the technique difficult to implement. Previous attempts to date either poorly extract the voluntary EMG from the artefacts, require a special hardware or are unsuitable for online application. Here we show an implementation of an entirely software-based solution that resolves the current problems in real-time using an adaptive filtering technique with an optional comb filter to extract voluntary EMG from muscles under FES. We demonstrated that unlike the classic comb filter approach, the signal extracted with the present technique was coherent with its noise-free version. Active FES, the resulting EMG-FES system was validated in a typical use case among fifteen patients with tetraplegia. Results showed that FES intensity modulated by the Active FES system was proportional to intentional movement. The Active FES system may inspire further research in neurorehabilitation and assistive technology.


2002 ◽  
Vol 26 (3) ◽  
pp. 224-227 ◽  
Author(s):  
Manfred Bijak ◽  
Winfried Mayr ◽  
Monika Rakos ◽  
Christian Hofer ◽  
Hermann Lanmüller ◽  
...  

2015 ◽  
Vol 9 (2) ◽  
pp. 137-143 ◽  
Author(s):  
Sam Khamis ◽  
Raz Martikaro ◽  
Shlomo Wientroub ◽  
Yoram Hemo ◽  
Shlomo Hayek

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