Evidence map›Paper›PMID 32333567›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2020

Development of a novel massage platform for medical training.

Chunbao Wang, Zhengdi Sun, Jianjun Long, Jianjun Wei, Xiaojiao Chen, Quanquan Liu, Yajin Shen, Wanfeng Shang, Yulong Wang, Lihong Duan and 1 more

Abstract read
In one paragraph

Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
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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

11 authors.

Chunbao WangGuangxi University of Science and Technology, Liuzhou, Guangxi Zhuang Autonomous Region, China.
Zhengdi SunGuangxi University of Science and Technology, Liuzhou, Guangxi Zhuang Autonomous Region, China.
Jianjun LongThe First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China.
Jianjun WeiGuangxi University of Science and Technology, Liuzhou, Guangxi Zhuang Autonomous Region, China.
Xiaojiao ChenMK Smart Robot Ltd, Huahaotai Industrial Park, Shenzhen, Guangdong, China.
Quanquan LiuShenzhen Institute of Geriatrics, Shenzhen, Guangdong, China.
Yajin ShenDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Wanfeng ShangShenzhen Institute of Geriatrics, Shenzhen, Guangdong, China.
Yulong WangThe First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China.
Lihong DuanShenzhen Institute of Geriatrics, Shenzhen, Guangdong, China.
Zhengzhi WuShenzhen Institute of Geriatrics, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional Chinese medicine (TCM) massage has a better effect on treating infant diarrhea compared to medical treatment. The TCM doctors need to be trained to master professional massage techniques. Traditional Chinese massage training relies on the students' understanding ability, and cannot accurately record the students' operating information. This situation leads to insufficient clinical massage skills of the students.

objectiveThis paper proposes a novel massage training platform to quantitatively perceive the massage techniques of students.

methodsThe paper proposed two types of flexible array sensors, which are arranged and placed into the bionic baby according to the position of the human acupoints. The massage techniques of the training object can be analyzed and evaluated during the massage process by studying the voltage from pressure sensors when the participants massage the bionic infant.

resultsA medical student was invited to conduct the massage training experiment, and the massage information included the operating strength, massage frequency and the massage direction, which were recorded and analyzed through the training platform.

conclusionThe platform can perceive the parameters related to the massage technique of students and can be used for medical training.

Indexed as

Models, AnatomicAcupuncture PointsClinical CompetenceDiarrheaHumansInfantMassageMassagemedical trainingpressure sensor

Identifiers

PMID32333567
PMCPMC7369086

What OpenQuestion holds

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LicenceCC BY-NC
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.