Evidence map›Paper›PMID 33546235›Full record

ReviewSensors (Basel, Switzerland)2021

Pain and Stress Detection Using Wearable Sensors and Devices-A Review.

Jerry Chen, Maysam Abbod, Jiann-Shing Shieh

Abstract readReview
In one paragraph

Review 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 76 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 2 pooled it
–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

76 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  11. Dyadic Comparison of Pain and Stress in Alzheimer's Disease and Caregivers.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2025
    Article
  12. Article
  13. Review
  14. Review
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  17. Mechanisms of comorbidity between Alzheimer's disease and pain.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  18. Article
  19. Review
  20. Patient-centered modeling of the breast biopsy experience.Frontiers in artificial intelligence · 2025
    Article

16 more citing papers are in PubMed but not listed here.

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

3 authors.

Jerry ChenDepartment of Mechanical Engineering, Yan Ze University, Taoyuan 32003, Taiwan.ORCID 0000-0003-4985-5600
Maysam AbbodDepartment of Electronic and Computer Engineering, Brunel University London, Uxbridge UB8 3PH, UK.ORCID 0000-0002-8515-7933
Jiann-Shing ShiehDepartment of Mechanical Engineering, Yan Ze University, Taoyuan 32003, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain is a subjective feeling; it is a sensation that every human being must have experienced all their life. Yet, its mechanism and the way to immune to it is still a question to be answered. This review presents the mechanism and correlation of pain and stress, their assessment and detection approach with medical devices and wearable sensors. Various physiological signals (i.e., heart activity, brain activity, muscle activity, electrodermal activity, respiratory, blood volume pulse, skin temperature) and behavioral signals are organized for wearables sensors detection. By reviewing the wearable sensors used in the healthcare domain, we hope to find a way for wearable healthcare-monitoring system to be applied on pain and stress detection. Since pain leads to multiple consequences or symptoms such as muscle tension and depression that are stress related, there is a chance to find a new approach for chronic pain detection using daily life sensors or devices. Then by integrating modern computing techniques, there is a chance to handle pain and stress management issue.

Indexed as

Wearable Electronic DevicesHeart RateHumansMonitoring, PhysiologicPainbehavioral signalspain detectionphysiological signalsstress detectionwearable sensor

Identifiers

PMID33546235
PMCPMC7913347

What OpenQuestion holds

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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.