Evidence map›Paper›PMID 36001374›Full record

Observational studyJournal of medical Internet research2022

Recognition of Gait Patterns in Older Adults Using Wearable Smartwatch Devices: Observational Study.

Hyeon-Joo Kim, Hyejoo Kim, Jinyoon Park, Bumjo Oh, Seung-Chan Kim

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2022. 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. Article
  3. 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

5 authors.

Hyeon-Joo Kim *Machine Learning Systems Lab, College of Sports Science, Sungkyunkwan University, Suwon, Republic of Korea.ORCID 0000-0001-8066-6563
Hyejoo Kim *Machine Learning Systems Lab, College of Sports Science, Sungkyunkwan University, Suwon, Republic of Korea.ORCID 0000-0003-0917-1781
Jinyoon ParkMachine Learning Systems Lab, College of Sports Science, Sungkyunkwan University, Suwon, Republic of Korea.ORCID 0000-0001-6440-1493
Bumjo OhDepartment of Family Medicine, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-2468-0755
Seung-Chan KimMachine Learning Systems Lab, College of Sports Science, Sungkyunkwan University, Suwon, Republic of Korea.ORCID 0000-0001-7292-5166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

GaitWearable Electronic DevicesAgedHumansactivity recognitiongait analysishealth monitoringmachine learningmHealthmobile healthneural networksequence classificationwearable

Identifiers

PMID36001374
PMCPMC9453581

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.