Evidence map›Paper›PMID 34372379›Full record

ArticleSensors (Basel, Switzerland)2021

An Effective Self-Powered Piezoelectric Sensor for Monitoring Basketball Skills.

Chongle Zhao, Changjun Jia, Yongsheng Zhu, Tianming Zhao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Chongle ZhaoPhysical Education Department, Northeastern University, Shenyang 110819, China.ORCID 0000-0003-3653-6934
Changjun JiaPhysical Education Department, Northeastern University, Shenyang 110819, China.ORCID 0000-0001-6352-5646
Yongsheng ZhuPhysical Education Department, Northeastern University, Shenyang 110819, China.
Tianming ZhaoCollege of Sciences, Northeastern University, Shenyang 110819, China.ORCID 0000-0001-9685-7671

Funding

Project supported by Fundamental Research Funds for the Central Universities (N2021001)
6 · The paper itself

Abstract

Self-powered piezoelectric sensor can achieve real-time and harmless monitoring of motion processes without external power supply, which can be attached on body skin or joints to detect human motion and powered by mechanical energy. Here, a sensor for monitoring emergent motion is developed using the PVDF as active material and piezoelectric output as sensing signal. The multi-point control function enables the sensor to monitor the sequence of force order, angle change, and motion frequency of the "elbow lift, arm extension, and wrist compression" during shooting basketball. In addition, the sensor shows can simultaneously charge the capacitor to provide more power for intelligence, typically Bluetooth transmission. The sensor shows good performance in other field, such as rehabilitation monitoring and speech input systems. Therefore, the emerging application of flexible sensors have huge long-term prospects in sport big data collection and Internet of Things (IoT).

Indexed as

BasketballElectric Power SuppliesHumansMonitoring, PhysiologicMotionmotion monitoringPVDF thin filmself-poweredsport big data

Identifiers

PMID34372379
PMCPMC8347581

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.