Evidence map›Paper›PMID 33708365›Full record

ArticleJournal of healthcare engineering2021

Motor Function Assessment of Upper Limb in Stroke Patients.

Bingyu Pan, Zhen Huang, Tingting Jin, Jiankang Wu, Zhiqiang Zhang, Yanfei Shen

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Bingyu PanSchool of Sports Engineering, Beijing Sport University, Beijing, China.ORCID 0000-0003-1359-4672
Zhen HuangRehabilitation Department, Peking University First Hospital, Beijing, China.
Tingting JinRehabilitation Department, Peking University First Hospital, Beijing, China.
Jiankang WuSensor Network and Application Research Centre, School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China.
Zhiqiang ZhangSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.
Yanfei ShenSchool of Sports Engineering, Beijing Sport University, Beijing, China.ORCID 0000-0002-8093-7754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Quantitative assessment of motor function is extremely important for poststroke patients as it can be used to develop personalized treatment strategies. This study aimed to propose an evaluation method for upper limb motor function in stroke patients. Methods: Thirty-four stroke survivors and twenty-five age-matched healthy volunteers as the control group were recruited for this study. Inertial sensor data and surface electromyography (sEMG) signals were collected from the upper limb during voluntary upward reaching. Five features included max shoulder joint angle, peak and average speeds, torso balance calculated from inertial sensor data, and muscle synergy similarity extracted from sEMG data by the nonnegative matrix factorization algorithm. Meanwhile, the Fugl-Meyer score of each patient was graded by professional rehabilitation therapist. Results: Statistically significant differences were observed among severe, mild-to-moderate, and control group of five features (

Indexed as

StrokeStroke RehabilitationHumansUpper Extremity

Identifiers

PMID33708365
PMCPMC7932780

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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.