Evidence mapPaperPMID 42280994Full record

ReviewSensors (Basel, Switzerland)2026

Physiological Monitoring Applications of Wearable Multimodal Fusion Systems Based on ECG and PPG: A Comprehensive Review.

Chamod Rathnayake, Wenjing Chen, Sahan Jayawickrama, Dakun Lai

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2026. 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
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

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.

Chamod RathnayakeSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Wenjing ChenWest China Hospital, Sichuan University, Chengdu 610041, China.
Sahan JayawickramaSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Dakun LaiSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0001-9070-1721

Funding

Sichuan Science and Technology Program 2025ZNSFSC0457
6 · The paper itself

Abstract

Wearable technology has become popular today not only for clinical uses but also among the general public for everyday activities such as fitness tracking and activity recognition. It's no secret that wearable devices need to be more comfortable and that there is increasing attention to their reliability and accuracy. Therefore, researchers are making various attempts to improve these specifications. Recent research has employed multimodal fusion, rather than relying on results from a single source, such as electrocardiography (ECG) or photoplethysmography (PPG), because it enables a more comprehensive understanding of physical conditions. There are very few extensive reviews of ECG and PPG wearable multimodal fusion application systems, and they are limited to a single practical use. However, this review fills that gap and provides a comprehensive overview of recent wearable physiological monitoring technologies based on ECG and PPG, along with their modern multimodal fusion applications in the medical field. These include cuffless blood pressure estimation, stress monitoring, heart rate and heart rate variability monitoring. This presents the theoretical background, including the characteristics of ECG and PPG signals, recently developed wearable monitoring techniques for ECG and PPG, and the advantages and disadvantages of multimodal fusion. It also provides a comprehensive and comparative analysis of recent studies employing modern multimodal fusion approaches in the aforementioned medical field, as well as a discussion of the limitations and challenges of ECG-PPG wearable multimodal fusion systems reported in the literature. Therefore, this review will enable researchers to gain a complete and comprehensive understanding of the development of wearable multimodal fusion applications based on ECG and PPG.

Indexed as

ElectrocardiographyPhotoplethysmographyWearable Electronic DevicesDigital HealthHeart RateHumansMonitoring, PhysiologicSignal Processing, Computer-Assistedelectrocardiography (ECG)multimodal signal integrationphotoplethysmography (PPG)wearable technology

Identifiers

PMID42280994
PMCPMC13259056

What Socratic 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 Socratic graph.