A Wrist System for Daily Stress Monitoring Using Mid-Level Physiological Fusion and Late Fusion with Survey-Based Labels.

Marija Simic, Sravya Reddy Yammanuru, Geraline Saguiafin, Jananan Velvelicham, Sridhar Krishnan

Abstract read

In one paragraph

Article in Sensors (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, 1 of them a synthesis that pooled it.

0numbers the graph read from it

0cells of the map it votes in

2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

Beyond EDA: A Systematic Review of Multimodal Sympathetic Nervous System Arousal Classification for Stress Detection.Sensors (Basel, Switzerland) · 2026
Pooled it
From Reactive to Proactive Healthcare: Synergizing Wearable Biomarkers and Machine Learning in Digital Therapeutics.Bioengineering (Basel, Switzerland) · 2026
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.

Marija SimicSignal Analysis Research (SAR) Group, Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University (TMU), 350 Victoria Street, Toronto, ON M5B 2K3, Canada.ORCID 0009-0008-3468-489X

Sravya Reddy YammanuruSignal Analysis Research (SAR) Group, Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University (TMU), 350 Victoria Street, Toronto, ON M5B 2K3, Canada.

Geraline SaguiafinSignal Analysis Research (SAR) Group, Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University (TMU), 350 Victoria Street, Toronto, ON M5B 2K3, Canada.

Jananan VelvelichamSignal Analysis Research (SAR) Group, Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University (TMU), 350 Victoria Street, Toronto, ON M5B 2K3, Canada.

Sridhar KrishnanSignal Analysis Research (SAR) Group, Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University (TMU), 350 Victoria Street, Toronto, ON M5B 2K3, Canada.ORCID 0000-0002-4659-564X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-sensor fusion can improve daily stress monitoring.

methodsA wrist-worn device includes a system of the galvanic skin response (GSR), PPG-derived heart rate variability (HRV), skin temperature, and SpO

resultsAgainst a commercial reference device, the proposed system achieved a mean absolute error of 0.23 for SpO

conclusionThe system integrates multi-sensing, on-device preprocessing, BLE transmission, and a clear fusion workflow that creates a useful predictive performance of daily stress monitoring.

Indexed as

WristAdultAlgorithmsFemaleGalvanic Skin ResponseHeart RateHumansMaleMonitoring, PhysiologicPhotoplethysmographySkin TemperatureSupport Vector MachineSurveys and QuestionnairesWearable Electronic DevicesBluetooth Low Energygalvanic skin responseheart rate variabilitymulti-sensor fusionquestionnairesskin temperatureSpO2stress monitoringtime alignmentwearables

Identifiers

PMID41228813

DOI10.3390/s25216592

PMCPMC12608656

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.