A review on the advancements in the field of upper limb prosthesis

Das, Nilanjan; Nagpal, Nikita; Bankura, Shailee Singh

doi:10.1080/03091902.2019.1576793

Cited by 22 publications

(14 citation statements)

References 45 publications

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“…23 The fine movement can also be facilitated by hand exoskeleton that helps in patients or elderly people rehabilitation and activities of daily life. 4 For patients suffering from amputation, new generation of bionic prostheses controlled by EMG signal is emerging, but they are still far from replicat-ing the intrinsic motor functions, 3 and also the advanced brain functions. Further development of more advanced and functional artificial devices rely on progress on design, material, and fabrication.…”

Section: Discussionmentioning

confidence: 99%

“…Neurobionic material is the emerging field in material and translational science. Over the past decades, developing electronics have emerged to mimic biological sensory and motor systems 1–4 . Nonetheless, no artificial devices are readily available to mimic advanced biological functions such as decision making or short‐term memories.…”

Section: Introductionmentioning

confidence: 99%

“…Over the past decades, developing electronics have emerged to mimic biological sensory and motor systems. [1][2][3][4] Nonetheless, no artificial devices are readily available to mimic advanced biological functions such as decision making or short-term memories. Further development of those functional artificial devices may rely on progress in material, fabrication, and advanced algorithm.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A functional assembly framework based on implementable neurobionic material

Zou

Jiang

Sun

et al. 2021

Clinical & Translational Med

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A functional assembly framework based on implementable neurobionic material

Zou

Jiang

Sun

et al. 2021

Clinical & Translational Med

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“…Prostheses have been in our lives since the ancient times and have made a significant impact in our living [1,2]. They were primarily utilized for function and cosmetic appearance [3].…”

Section: Introductionmentioning

confidence: 99%

Can Prosthetic Hands Mimic a Healthy Human Hand?

Nazari

Alam

2021

Prosthesis

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Historical evidence suggests that prostheses have been used since ancient Egyptian times. Prostheses were usually utilized for function and cosmetic appearances. Nowadays, with the advancement of technology, prostheses such as artificial hands can not only improve functional, but have psychological advantages as well and, therefore, can significantly enhance an individual’s standard of living. Combined with advanced science, a prosthesis is not only a simple mechanical device, but also an aesthetic, engineering and medical marvel. Prosthetic limbs are the best tools to help amputees reintegrate into society. In this article, we discuss the background and advancement of prosthetic hands with their working principles and possible future implications. We also leave with an open question to the readers whether prosthetic hands could ever mimic and replace our biological hands.

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“…For example, sEMG reveals the information in diagnosing neuromuscular disorders [ 1 , 2 ]. More generally, it may play important roles in the controlling of artificial assistance robots, arm prostheses, rehabilitation equipment, and some other instruments [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Reduce Surface Electromyography Channels for Gesture Recognition by Multitask Sparse Representation and Minimum Redundancy Maximum Relevance

Shang

et al. 2021

Journal of Healthcare Engineering

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Surface electromyography- (sEMG-) based gesture recognition is widely used in rehabilitation training, artificial prosthesis, and human-computer interaction. The purpose of this study is to simplify the sEMG devices by reducing channels while achieving comparably high gesture recognition accuracy. We propose a compound channel selection scheme by combining the variable selection algorithms based on multitask sparse representation (MTSR) and minimum Redundancy Maximum Relevance (mRMR). Specifically, channelwise features are first extracted to compose channel-feature paired variables, for which variable selection procedures by MTSR and mRMR are carried out, respectively. Then, we rank all the channels according to their occurrences in each variable selection procedure and figure out a certain number of informative channels by fusing these rankings of channels. Finally, the gesture classification performance using the selected channels is evaluated by the support vector machine (SVM) classifier. Experiment results validate the effectiveness of this proposed method.

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A review on the advancements in the field of upper limb prosthesis

Cited by 22 publications

References 45 publications

A functional assembly framework based on implementable neurobionic material

A functional assembly framework based on implementable neurobionic material

Can Prosthetic Hands Mimic a Healthy Human Hand?

Reduce Surface Electromyography Channels for Gesture Recognition by Multitask Sparse Representation and Minimum Redundancy Maximum Relevance

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