Evidence map›Paper›PMID 39943329›Full record

ArticleSensors (Basel, Switzerland)2025

Implementation of Wearable Technology for Remote Heart Rate Variability Biofeedback in Cardiac Rehabilitation.

Tiehan Hu, Xianbin Zhang, Richard C Millham, Lin Xu, Wanqing Wu

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The clinical value of circadian biofeedback in chronic heart failure.European heart journal. Digital health · 2026
    Article
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.

Tiehan HuSchool of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China.ORCID 0009-0004-1876-9042
Xianbin ZhangSchool of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China.ORCID 0000-0002-9910-3506
Richard C MillhamDepartment of Information Technology, Durban University of Technology, Durban 4001, South Africa.ORCID 0000-0002-7970-9615
Lin XuGeneral Hospital of the Southern Theatre Command, Guangzhou 510010, China.ORCID 0000-0001-7750-8011
Wanqing WuSchool of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China.ORCID 0000-0001-7594-1487

Funding

the Guangzhou Science and Technology Planning Project 202003000040the National Key R&D Program of China 2023YFE0110200This work is based on research supported in part by the National Research Foundation of South Africa 151178
6 · The paper itself

Abstract

Cardiovascular diseases pose a significant threat to global health, and cardiac rehabilitation (CR) has become a critical component of patient care. Heart Rate Variability Biofeedback (HRVB) is a non-invasive approach that helps modulate the Autonomic Nervous System (ANS) through Resonance Frequency (RF) breathing, supporting CR for cardiovascular patients. However, traditional HRVB techniques rely heavily on manual RF selection and face-to-face guidance, limiting their widespread application, particularly in home-based CR. To address these limitations, we propose a remote human-computer collaborative HRVB system, "FreeResp", which features autonomous RF adjustment through a simplified cognitive computational model, eliminating the reliance on therapists. Furthermore, the system integrates wearable technology and the Internet of Things (IoT) to support remote monitoring and personalized interventions. By incorporating tactile guidance technology with an airbag, the system assists patients in performing diaphragmatic breathing more effectively. FreeResp demonstrated high consistency with conventional HRVB methods in determining RF values (22/24) from 24 valid training samples. Moreover, a one-month home-based RF breathing training using FreeResp showed significant improvements in Heart Rate Variability (HRV) (

Indexed as

Biofeedback, PsychologyCardiac RehabilitationHeart RateWearable Electronic DevicesAdultAutonomic Nervous SystemFemaleHumansMaleMiddle Agedcardiac rehabilitationhuman-machine collaborationpersonalized biofeedbackwearable technology

Identifiers

PMID39943329
PMCPMC11820356

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.