Evidence map›Paper›PMID 35689292›Full record

ArticleBMC sports science, medicine & rehabilitation2022

Validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity.

Masahiko Mukaino, Takayuki Ogasawara, Hirotaka Matsuura, Yasushi Aoshima, Takuya Suzuki, Shotaro Furuzawa, Masumi Yamaguchi, Hiroshi Nakashima, Eiichi Saitoh, Shingo Tsukada and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. 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

11 authors at 3 institutions in 1 country.

Masahiko MukainoDepartment of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan. mmukaino@fujita-hu.ac.jp.
Takayuki OgasawaraNTT Basic Research Laboratories and Bio-Medical Informatics Research Center, NTT Corporation, Atsugi, Kanagawa, Japan.
Hirotaka MatsuuraDepartment of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.
Yasushi AoshimaDepartment of Rehabilitation, Fujita Health University Hospital, Toyoake, Aichi, Japan.
Takuya SuzukiDepartment of Rehabilitation, Fujita Health University Hospital, Toyoake, Aichi, Japan.
Shotaro FuruzawaDepartment of Rehabilitation, Fujita Health University Hospital, Toyoake, Aichi, Japan.
Masumi YamaguchiNTT Basic Research Laboratories and Bio-Medical Informatics Research Center, NTT Corporation, Atsugi, Kanagawa, Japan.
Hiroshi NakashimaNTT Basic Research Laboratories and Bio-Medical Informatics Research Center, NTT Corporation, Atsugi, Kanagawa, Japan.
Eiichi SaitohDepartment of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.
Shingo TsukadaNTT Basic Research Laboratories and Bio-Medical Informatics Research Center, NTT Corporation, Atsugi, Kanagawa, Japan.
Yohei OtakaDepartment of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.
Fujita Health University · JPNTT Basic Research Laboratories · JPFujita Health University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advancements in wearable technology have enabled easy measurement of daily activities, potentially applicable in rehabilitation practice for various purposes such as maintaining and increasing patients' activity levels. In this study, we aimed to examine the validity of trunk acceleration measurement using a chest monitor embedded in a smart clothing system ('hitoe' system), an emerging wearable system, in assessing the physical activity in an experimental setting with healthy subjects (Study 1) and in a clinical setting with post-stroke patients (Study 2).

methodsStudy 1 involved the participation of 14 healthy individuals. The trunk acceleration, heart rate (HR), and oxygen consumption were simultaneously measured during treadmill testing with a Bruce protocol. Trunk acceleration and HR were measured using the "hitoe" system, a smart clothing system with embedded chest sensors. Expiratory gas analysis was performed to measure oxygen consumption. Three parameters, moving average (MA), moving standard deviation (MSD), and moving root mean square (RMS), were calculated from the norm of the trunk acceleration. The relationships between these accelerometer-based parameters and oxygen consumption-based physical activity intensity measured with the percent VO2 reserve (%VO

resultsThe values of MA, MSD, RMS, and %VO

conclusionsThe results support the validity of the MSD calculated from the trunk acceleration measured with a smart clothing system in assessing the physical activity intensity.

trial registrationUMIN000034967. Registered 21 November 2018 (retrospectively registered).

Indexed as

AccelerationPhysical activitySmart clothing system

Identifiers

PMID35689292
PMCPMC9185863
OpenAlexW4281890922

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.