Evidence map›Paper›PMID 27447641›Full record

ArticleSensors (Basel, Switzerland)2016

The Evaluation of Physical Stillness with Wearable Chest and Arm Accelerometer during Chan Ding Practice.

Kang-Ming Chang, Yu-Teng Chun, Sih-Huei Chen, Luo Lu, Hsiao-Ting Jannis Su, Hung-Meng Liang, Jayasree Santhosh, Congo Tak-Shing Ching, Shing-Hong Liu

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. 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
1.2field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Meditation Practice Improves Short-Term Changes in Heart Rate Variability.International journal of environmental research and public health · 2020
    Article
  3. Article
  4. 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

9 authors at 7 institutions in 2 countries.

Kang-Ming ChangDepartment of Photonics and Communication Engineering, Asia University, 500, Lioufeng Rd., Wufeng, Taichung 41354, Taiwan. changkm@asia.edu.tw.
Yu-Teng ChunBiosignal Processing Lab, Asia University, 500, Lioufeng Rd., Wufeng, Taichung 41354, Taiwan. ken7360@gmail.com.tw.
Sih-Huei ChenBiosignal Processing Lab, Asia University, 500, Lioufeng Rd., Wufeng, Taichung 41354, Taiwan. abbykayq@yahoo.com.tw.
Luo LuDepartment of Business Administration, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan. luolu@ntu.edu.tw.
Hsiao-Ting Jannis SuDepartment of Educational management and law, National Taipei University of Education, No.134, Sec. 2, Heping E. Rd., Da-an District, Taipei 10671, Taiwan. jannis56789@yahoo.com.tw.
Hung-Meng LiangDepartment of Law, National Chung Cheng University, No.168, Sec. 1, University Rd., Min-Hsiung Township, Chia-yi County 62102, Taiwan. lawlhm@ccu.edu.tw.
Jayasree SanthoshDepartment of Biomedical Engineering Faculty of Engineering, University Malaya, Jalan Elmu, Off Jalan University, Kuala Lumpur 59100, Malaysia. jsanthosh@um.edu.my.
Congo Tak-Shing ChingDepartment of Electrical Engineering, National Chi Nan University, Daxue Rd., Puli Township, Nantou County 545, Taiwan. tsching@ncnu.edu.tw.
Shing-Hong LiuDepartment of Computer Science and Information Engineering, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, Taichung 41349, Taiwan. shliu@cyut.edu.tw.
Asia University · TWChaoyang University of Technology · TWNational Chi Nan University · TWNational Chung Cheng University · TWNational Taipei University of Education · TWNational Taiwan University · TWUniversity of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chan Ding training is beneficial to health and emotional wellbeing. More and more people have taken up this practice over the past few years. A major training method of Chan Ding is to focus on the ten Mailuns, i.e., energy points, and to maintain physical stillness. In this article, wireless wearable accelerometers were used to detect physical stillness, and the created physical stillness index (PSI) was also shown. Ninety college students participated in this study. Primarily, accelerometers used on the arms and chest were examined. The results showed that the PSI values on the arms were higher than that of the chest, when participants moved their bodies in three different ways, left-right, anterior-posterior, and hand, movements with natural breathing. Then, they were divided into three groups to practice Chan Ding for approximately thirty minutes. Participants without any Chan Ding experience were in Group I. Participants with one year of Chan Ding experience were in Group II, and participants with over three year of experience were in Group III. The Chinese Happiness Inventory (CHI) was also conducted. Results showed that the PSI of the three groups measured during 20-30 min were 0.123 ± 0.155, 0.012 ± 0.013, and 0.001 ± 0.0003, respectively (p < 0.001 ***). The averaged CHI scores of the three groups were 10.13, 17.17, and 25.53, respectively (p < 0.001 ***). Correlation coefficients between PSI and CHI of the three groups were -0.440, -0.369, and -0.537, respectively (p < 0.01 **). PSI value and the wearable accelerometer that are presently available on the market could be used to evaluate the quality of the physical stillness of the participants during Chan Ding practice.

Indexed as

ArmThoraxAccelerometryBiosensing TechniquesHumansMental HealthMonitoring, AmbulatoryChan DingChinese Happiness Inventorymeditationphysical stillness index (PSI)wearable accelerometer

Identifiers

PMID27447641
PMCPMC4970169
OpenAlexW2477097096

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.