Evidence map›Paper›PMID 39997286›Full record

ReviewHealthcare (Basel, Switzerland)2025

Modern Smart Gadgets and Wearables for Diagnosis and Management of Stress, Wellness, and Anxiety: A Comprehensive Review.

Aman Jolly, Vikas Pandey, Manoj Sahni, Ernesto Leon-Castro, Luis A Perez-Arellano

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Aman JollyDepartment of Computer Science and Engineering, Delhi Technological University, Delhi 110042, India.
Vikas PandeyElectrical Engineering Department, Babu Banarasi Das University, Lucknow 226028, India.
Manoj SahniDepartment of Mathematics, Pandit Deendayal Energy University, Gandhinagar 382007, India.ORCID 0000-0001-7949-9147
Ernesto Leon-CastroFaculty of Economics and Administrative Sciences, Universidad Católica de la Santísima Concepción, Concepción 4070129, Chile.ORCID 0000-0002-0087-2226
Luis A Perez-ArellanoFaculty of Psychology, Autonomous University of Sinaloa, Culiacan 80040, Mexico.ORCID 0000-0002-2936-8242

Funding

Universidad Católica de la Santísima Concepción 2025
6 · The paper itself

Abstract

The increasing development of gadgets to evaluate stress, wellness, and anxiety has garnered significant attention in recent years. These technological advancements aim to expedite the identification and subsequent treatment of these prevalent conditions. This study endeavors to critically examine the latest smart gadgets and portable techniques utilized for diagnosing depression, stress, and emotional trauma while also exploring the underlying biochemical processes associated with their identification. Integrating various detectors within smartphones and smart bands enables continuous monitoring and recording of user activities. Given their widespread use, smartphones, smartwatches, and smart wristbands have become indispensable in our daily lives, prompting the exploration of their potential in stress detection and prevention. When individuals experience stress, their nervous system responds by releasing stress hormones, which can be easily identified and quantified by smartphones and smart bands. The study in this paper focused on the examination of anxiety and stress and consistently employed "heart rate variability" (HRV) characteristics for diagnostic purposes, with superior outcomes observed when HRV was combined with "electroencephalogram" (EEG) analysis. Recent research indicates that electrodermal activity (EDA) demonstrates remarkable precision in identifying anxiety. Comparisons with HRV, EDA, and breathing rate reveal that the mean heart rate employed by several commercial wearable products is less accurate in identifying anxiety and stress. This comprehensive review article provides an evidence-based evaluation of intelligent gadgets and wearable sensors, highlighting their potential to accurately assess stress, wellness, and anxiety. It also identifies areas for further research and development.

Indexed as

anxietyhealth sensorspsychological behavioralsmart gadgetsstress detection

Identifiers

PMID39997286
PMCPMC11855179

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.