TY - JOUR
T1 - Taking both sides
T2 - seeking symbiosis between intelligent prostheses and human motor control during locomotion
AU - Huang, He (Helen)
AU - Si, Jennie
AU - Brandt, Andrea
AU - Li, Minhan
N1 - Funding Information:
The authors thank Yue Wen, Stephanie Huang, Ming Liu, I-Chieh Lee, and Bretta Fylstra, Aaron Fleming, and Ruofan Wu for shaping our opinion through their research and discussion. We thank NIH (EB024570) and NSF (1563454/1563921, 1808752/1808898, 1954587, 1926998) for sponsoring our research on this topic.
Publisher Copyright:
© 2021 Elsevier Inc.
PY - 2021/12
Y1 - 2021/12
N2 - Robotic lower limb prostheses aim to replicate the power-generating capability of biological joints during locomotion to empower individuals with lower limb loss. However, recent clinical trials have not demonstrated clear advantages of these devices over traditional passive devices. We believe this is partly because the current designs of robotic prothesis controllers and clinical methods for fitting and training individuals to use them do not ensure good coordination between the prosthesis and user. Accordingly, we advocate for new holistic approaches in which human motor control and intelligent prosthesis control function as one system (defined as human–prosthesis symbiosis). We hope engineers and clinicians will work closely to achieve this symbiosis, thereby improving the functionality and acceptance of robotic prostheses and users' quality of life.
AB - Robotic lower limb prostheses aim to replicate the power-generating capability of biological joints during locomotion to empower individuals with lower limb loss. However, recent clinical trials have not demonstrated clear advantages of these devices over traditional passive devices. We believe this is partly because the current designs of robotic prothesis controllers and clinical methods for fitting and training individuals to use them do not ensure good coordination between the prosthesis and user. Accordingly, we advocate for new holistic approaches in which human motor control and intelligent prosthesis control function as one system (defined as human–prosthesis symbiosis). We hope engineers and clinicians will work closely to achieve this symbiosis, thereby improving the functionality and acceptance of robotic prostheses and users' quality of life.
KW - Augmented biofeedback
KW - Gait biomechanics
KW - Human-in-the-loop optimization
KW - Human–prosthesis symbiosis
KW - Reinforcement learning
KW - Robotic lower limb prostheses
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U2 - 10.1016/j.cobme.2021.100314
DO - 10.1016/j.cobme.2021.100314
M3 - Review article
AN - SCOPUS:85111050102
SN - 2468-4511
VL - 20
JO - Current Opinion in Biomedical Engineering
JF - Current Opinion in Biomedical Engineering
M1 - 100314
ER -