Prosthetic hand control: A multidisciplinary review to identify strengths, shortcomings, and the future

Kumar, Deepak; Jelfs, Beth; Sui, Xiaohong; Arjunan, Sridhar P.

doi:10.1016/j.bspc.2019.101588

Cited by 59 publications

(28 citation statements)

References 82 publications

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“…Furthermore, the RMSE when using the EMG alone was 0.57 ± 0.07 Nm for the training dataset and 0.73 ± 0.11 Nm for the test dataset [73]. Therefore, using the EMG and the kinematic data as inputs for estimating the torque showed better performance [79]. To conclude, EMG-driven robots are considered the better choice to rehabilitate impaired limbs when compared to normal robots [8].…”

Section: Resultsmentioning

confidence: 90%

“…The study involved recruiting six healthy subjects with three different loads (0 kg, 1 kg and 2 kg) held by the hand at two different positions: elbow flexion (90 • ) and full elbow extension (0 • ). The approach was performed at two different angular velocities (60 • /s and 90 • /s) [79]. The subjects were trained to perform the aforementioned procedure, and the root mean square error (RMSE) was calculated between the expected and the predicted torques for each procedure.…”

Section: Resultsmentioning

confidence: 99%

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A Review on Upper Limb Rehabilitation Robots

2020

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Rehabilitation is the process of treating post-stroke consequences. Impaired limbs are considered the common outcomes of stroke, which require a professional therapist to rehabilitate the impaired limbs and restore fully or partially its function. Due to the shortage in the number of therapists and other considerations, researchers have been working on developing robots that have the ability to perform the rehabilitation process. During the last two decades, different robots were invented to help in rehabilitation procedures. This paper explains the types of rehabilitation treatments and robot classifications. In addition, a few examples of well-known rehabilitation robots will be explained in terms of their efficiency and controlling mechanisms.

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Section: Resultsmentioning

confidence: 90%

Section: Resultsmentioning

confidence: 99%

A Review on Upper Limb Rehabilitation Robots

2020

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“…Unfortunately, the cost of such devices is one of the major constraints in its popularization. The commercially available prosthetic devices range from $15000 to 100000 or even higher if additional customization is required [ 86 ]. Several research groups have worked for the development of low-cost prosthetic devices but they lack in their real-life application and catering to the customer need.…”

Section: Application Of Iot-aided Robotic Technology In Healthcarementioning

confidence: 99%

Internet of Things and Robotics in Transforming Current-Day Healthcare Services

Pradhan

Bharti

Chakravarty

et al. 2021

Journal of Healthcare Engineering

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Technology has become an integral part of everyday lives. Recent years have witnessed advancement in technology with a wide range of applications in healthcare. However, the use of the Internet of Things (IoT) and robotics are yet to see substantial growth in terms of its acceptability in healthcare applications. The current study has discussed the role of the aforesaid technology in transforming healthcare services. The study also presented various functionalities of the ideal IoT-aided robotic systems and their importance in healthcare applications. Furthermore, the study focused on the application of the IoT and robotics in providing healthcare services such as rehabilitation, assistive surgery, elderly care, and prosthetics. Recent developments, current status, limitations, and challenges in the aforesaid area have been presented in detail. The study also discusses the role and applications of the aforementioned technology in managing the current pandemic of COVID-19. A comprehensive knowledge has been provided on the prospect of the functionality, application, challenges, and future scope of the IoT-aided robotic system in healthcare services. This will help the future researcher to make an inclusive idea on the use of the said technology in improving the healthcare services in the future.

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“…This fact occurred for all classifiers, feature sets, and overlap rates. As mentioned before, in works related to sEMG pattern recognition, the window length directly affected the accuracies [17,65,66]. However, the window size cannot be too extensive or large and thus compromise the whole application (involving the detection of sEMG and the final response of the actuation).…”

Section: Influence Of Segmentation Parametersmentioning

confidence: 99%

Analysis of Influence of Segmentation, Features, and Classification in sEMG Processing: A Case Study of Recognition of Brazilian Sign Language Alphabet

Mendes

Freitas

Campos

et al. 2020

Sensors

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Sign Language recognition systems aid communication among deaf people, hearing impaired people, and speakers. One of the types of signals that has seen increased studies and that can be used as input for these systems is surface electromyography (sEMG). This work presents the recognition of a set of alphabet gestures from Brazilian Sign Language (Libras) using sEMG acquired from an armband. Only sEMG signals were used as input. Signals from 12 subjects were acquired using a MyoTM armband for the 26 signs of the Libras alphabet. Additionally, as the sEMG has several signal processing parameters, the influence of segmentation, feature extraction, and classification was considered at each step of the pattern recognition. In segmentation, window length and the presence of four levels of overlap rates were analyzed, as well as the contribution of each feature, the literature feature sets, and new feature sets proposed for different classifiers. We found that the overlap rate had a high influence on this task. Accuracies in the order of 99% were achieved for the following factors: segments of 1.75 s with a 12.5% overlap rate; the proposed set of four features; and random forest (RF) classifiers.

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Prosthetic hand control: A multidisciplinary review to identify strengths, shortcomings, and the future

Cited by 59 publications

References 82 publications

A Review on Upper Limb Rehabilitation Robots

A Review on Upper Limb Rehabilitation Robots

Internet of Things and Robotics in Transforming Current-Day Healthcare Services

Analysis of Influence of Segmentation, Features, and Classification in sEMG Processing: A Case Study of Recognition of Brazilian Sign Language Alphabet

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