Evidence map›Paper›PMID 37915601›Full record

ArticleiScience2023

Flexible wearable intelligent sensing system for wheelchair sports monitoring.

Yupeng Mao, Yuzhang Wen, Bing Liu, Fengxin Sun, Yongsheng Zhu, Junxiao Wang, Rui Zhang, Zuojun Yu, Liang Chu, Aiguo Zhou

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
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

6 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. AI-Driven TENGs for Self-Powered Smart Sensors and Intelligent Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  4. Article
  5. Article
  6. Article
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

10 authors at 4 institutions in 1 country.

Yupeng MaoSchool of Strength and Conditioning Training, Beijing Sport University, Beijing 100084, China.
Yuzhang WenPhysical Education Department, Northeastern University, Shenyang 110819, China.
Bing LiuSchool of Martial Arts and Dance, Shenyang Sport University, Shenyang 110102, China.
Fengxin SunPhysical Education Department, Northeastern University, Shenyang 110819, China.
Yongsheng ZhuPhysical Education Department, Northeastern University, Shenyang 110819, China.
Junxiao WangSchool of Strength and Conditioning Training, Beijing Sport University, Beijing 100084, China.
Rui ZhangSchool of Strength and Conditioning Training, Beijing Sport University, Beijing 100084, China.
Zuojun YuChina Ice Sports College, Beijing Sport University, Beijing 100084, China.
Liang ChuInstitute of Carbon Neutrality and New Energy & School of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Aiguo ZhouSchool of Strength and Conditioning Training, Beijing Sport University, Beijing 100084, China.
Beijing Sport University · CNNortheastern University · CNHangzhou Dianzi University · CNShenyang Sport University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of wearable intelligent systems toward human-computer interaction has received widespread attention. It is still desirable to conveniently promote health and monitor sports skills for disabled people. Here, a wireless intelligent sensing system (WISS) has been developed, which includes two ports of wearable flexible triboelectric nanogenerator (WF-TENG) sensing and an upper computer digital signal receiving intelligent processing. The WF-TENG sensing port is connected by the WF-TENG sensor and flexible printed circuit (FPC). Due to its flexibility, the WF-TENG sensing port can be freely adhered on the surface of human skin. The WISS can be applied to entertainment reaction training based on human-computer interaction, and to the technical judgment and analysis on wheelchair curling sport. This work provides new application opportunities for wearable devices in the fields of sports skills monitoring, sports assistive devices and health promotion for disabled people.

Indexed as

MechanicsPhysicsSports medicine

Identifiers

PMID37915601
PMCPMC10616312
OpenAlexW4387374410

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.