Evidence map›Paper›PMID 39409250›Full record

ArticleSensors (Basel, Switzerland)2024

Feasibility of Early Assessment for Psychological Distress: HRV-Based Evaluation Using IR-UWB Radar.

Yuna Lee, Kounseok Lee, Sarfaraz Ahmed, Sung Ho Cho

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yuna LeeDepartment of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0009-0007-6340-735X
Kounseok LeeDepartment of Psychiatry, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0002-6084-5043
Sarfaraz AhmedDepartment of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.
Sung Ho ChoDepartment of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0002-2393-1428

Funding

National Research Foundation of Korea NRF-2022R1A2C2008783
6 · The paper itself

Abstract

Mental distress-induced imbalances in autonomic nervous system activities adversely affect the electrical stability of the cardiac system, with heart rate variability (HRV) identified as a related indicator. Traditional HRV measurements use electrocardiography (ECG), but impulse radio ultra-wideband (IR-UWB) radar has shown potential in HRV measurement, although it is rarely applied to psychological studies. This study aimed to assess early high levels of mental distress using HRV indices obtained using radar through modified signal processing tailored to reduce phase noise and improve positional accuracy. We conducted 120 evaluations on 15 office workers from a software startup, with each 5 min evaluation using both radar and ECG. Visual analog scale (VAS) scores were collected to assess mental distress, with evaluations scoring 7.5 or higher classified as high-mental distress group, while the remainder formed the control group. Evaluations indicating high levels of mental distress showed significantly lower HRV compared to the control group, with radar-derived indices correlating strongly with ECG results. The radar-based analysis demonstrated a significant ability to differentiate high mental distress, supported by receiver operating characteristic (ROC) analysis. These findings suggest that IR-UWB radar could be a supportive tool for distinguishing high levels of mental stress, offering clinicians complementary diagnostic insights.

Indexed as

ElectrocardiographyHeart RatePsychological DistressRadarAdultFeasibility StudiesFemaleHumansMaleMiddle AgedROC CurveSignal Processing, Computer-AssistedStress, Psychologicalheart rate variabilityHRVimpulse radio ultra-wideband radarIR-UWB radarmental distresspsychological distressradar

Identifiers

PMID39409250
PMCPMC11479071

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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.