Evidence map›Paper›PMID 40297060›Full record

ArticleWearable technologies2025

Functional evaluation of a real-time EMG controlled prosthetic hand.

Amlan Jyoti Kalita, Maibam Pooya Chanu, Nayan M Kakoty, Ramana Kumar Vinjamuri, Satyajit Borah

Abstract read
In one paragraph

Article in Wearable technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Amlan Jyoti KalitaEmbedded Systems and Robotics Laboratory, Tezpur University, Tezpur, India.ORCID https://orcid.org/0000-0002-5721-8663
Maibam Pooya ChanuEmbedded Systems and Robotics Laboratory, Tezpur University, Tezpur, India.
Nayan M KakotyEmbedded Systems and Robotics Laboratory, Tezpur University, Tezpur, India.
Ramana Kumar VinjamuriVinjamuri Lab, University of Maryland Baltimore County, Baltimore, MD, USA.
Satyajit BorahTIMeS Hospital, Tezpur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electromyogram (EMG)-controlled prosthetic hands have advanced significantly during the past two decades. However, most of the currently available prosthetic hands fail to replicate human hand functionality and controllability. To measure the emulation of the human hand by a prosthetic hand, it is important to evaluate the functional characteristics. Moreover, incorporating feedback from end users during clinical testing is crucial for the precise assessment of a prosthetic hand. The work reported in this manuscript unfolds the functional characteristics of an EMG-CoNtrolled PRosthetIC Hand called ENRICH. ENRICH is a real-time EMG controlled prosthetic hand that can grasp objects in 250.81.1 ms, fulfilling the neuromuscular constraint of a human hand. ENRICH is evaluated in comparison to 26 laboratory prototypes and 10 commercial variants of prosthetic hands. The hand was evaluated in terms of size, weight, operation time, weight lifting capacity, finger joint range of motion, control strategy, degrees of freedom, grasp force, and clinical testing. The box and block test and pick and place test showed ENRICH's functionality and controllability. The functional evaluation reveals that ENRICH has the potential to restore functionality to hand amputees, improving their quality of life.

Indexed as

box and block testelectromyogrampick and place testprosthetic hand

Identifiers

PMID40297060
PMCPMC12034578

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.