Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 88-96 |
| Journal | IEEE Transactions on Medical Robotics and Bionics |
| Volume | 1 |
| Issue number | 2 |
| Early online date | 22 Apr 2019 |
| DOIs | |
| Publication status | Published - May 2019 |
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Transferrable Expertise From Bionic Arms to Robotic Exoskeletons : Perspectives for Stroke and Duchenne Muscular Dystrophy. / Nizamis, Kostas; Stienen, Arno H.A.; Kamper, Derek G.; Keller, Thierry; Plettenburg, Dick H.; Rouse, Elliott J.; Farina, Dario; Koopman, Bart F.J.M.; Sartori, Massimo.
In: IEEE Transactions on Medical Robotics and Bionics, Vol. 1, No. 2, 05.2019, p. 88-96.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Transferrable Expertise From Bionic Arms to Robotic Exoskeletons
T2 - Perspectives for Stroke and Duchenne Muscular Dystrophy
AU - Nizamis, Kostas
AU - Stienen, Arno H.A.
AU - Kamper, Derek G.
AU - Keller, Thierry
AU - Plettenburg, Dick H.
AU - Rouse, Elliott J.
AU - Farina, Dario
AU - Koopman, Bart F.J.M.
AU - Sartori, Massimo
PY - 2019/5
Y1 - 2019/5
N2 - Upper extremity function is affected by a variety of neurological conditions. Robotic exoskeletons offer a potential solution for motor restoration. However, their systematic adoption is limited by challenges relative to human intention detection and device control. This position article offers a focused perspective on this topic. That is, on how knowledge gained from the design and implementation of human–machine interfaces (HMIs) for bionic arms can benefit the field of rehabilitation exoskeletons. Three broadly used HMIs in bionic arms are here investigated, including surface electromyography, impedance, and body-powered control. We propose that combinations of these HMIs could push forward upper extremity exoskeleton development. In this context, we provide concrete applicative examples in two selected clinical scenarios, including post-stroke and Duchenne muscular dystrophy individuals. The discussed solutions can open new avenues for the translation of robotic exoskeletons in a large set of clinical settings and enable a class of exoskeleton technologies that could support a broader range of impairment and disease types.
AB - Upper extremity function is affected by a variety of neurological conditions. Robotic exoskeletons offer a potential solution for motor restoration. However, their systematic adoption is limited by challenges relative to human intention detection and device control. This position article offers a focused perspective on this topic. That is, on how knowledge gained from the design and implementation of human–machine interfaces (HMIs) for bionic arms can benefit the field of rehabilitation exoskeletons. Three broadly used HMIs in bionic arms are here investigated, including surface electromyography, impedance, and body-powered control. We propose that combinations of these HMIs could push forward upper extremity exoskeleton development. In this context, we provide concrete applicative examples in two selected clinical scenarios, including post-stroke and Duchenne muscular dystrophy individuals. The discussed solutions can open new avenues for the translation of robotic exoskeletons in a large set of clinical settings and enable a class of exoskeleton technologies that could support a broader range of impairment and disease types.
U2 - 10.1109/TMRB.2019.2912453
DO - 10.1109/TMRB.2019.2912453
M3 - Article
VL - 1
SP - 88
EP - 96
JO - IEEE Transactions on Medical Robotics and Bionics
JF - IEEE Transactions on Medical Robotics and Bionics
SN - 2576-3202
IS - 2
ER -