Evidence map›Paper›PMID 28250759›Full record

ArticleNeural regeneration research2017

Real-time and wearable functional electrical stimulation system for volitional hand motor function control using the electromyography bridge method.

Hai-Peng Wang, Zheng-Yang Bi, Yang Zhou, Yu-Xuan Zhou, Zhi-Gong Wang, Xiao-Ying Lv

Abstract read
In one paragraph

Article in Neural regeneration research, 2017. 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.

  1. Article
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  5. Review
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

6 authors.

Hai-Peng WangInstitute of RF- & OE-ICs, Southeast University, Nanjing, Jiangsu Province, China.
Zheng-Yang BiState Key Lab of Bioelectronics, Southeast University, Nanjing, Jiangsu Province, China.
Yang ZhouInstitute of RF- & OE-ICs, Southeast University, Nanjing, Jiangsu Province, China.
Yu-Xuan ZhouState Key Lab of Bioelectronics, Southeast University, Nanjing, Jiangsu Province, China.
Zhi-Gong WangInstitute of RF- & OE-ICs, Southeast University, Nanjing, Jiangsu Province, China; Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China.ORCID 0000-0002-9203-4683
Xiao-Ying LvState Key Lab of Bioelectronics, Southeast University, Nanjing, Jiangsu Province, China; Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Voluntary participation of hemiplegic patients is crucial for functional electrical stimulation therapy. A wearable functional electrical stimulation system has been proposed for real-time volitional hand motor function control using the electromyography bridge method. Through a series of novel design concepts, including the integration of a detecting circuit and an analog-to-digital converter, a miniaturized functional electrical stimulation circuit technique, a low-power super-regeneration chip for wireless receiving, and two wearable armbands, a prototype system has been established with reduced size, power, and overall cost. Based on wrist joint torque reproduction and classification experiments performed on six healthy subjects, the optimized surface electromyography thresholds and trained logistic regression classifier parameters were statistically chosen to establish wrist and hand motion control with high accuracy. Test results showed that wrist flexion/extension, hand grasp, and finger extension could be reproduced with high accuracy and low latency. This system can build a bridge of information transmission between healthy limbs and paralyzed limbs, effectively improve voluntary participation of hemiplegic patients, and elevate efficiency of rehabilitation training.

Indexed as

circuit and systemelectromyography controlfrequency-modulation stimulationfunctional electrical stimulationhand motionlogistic regressionnerve regenerationneural regenerationreal-timerehabilitation of upper-limb hemiplegiastrokewearable device

Identifiers

PMID28250759
PMCPMC5319219

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

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.