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August 22, 2026European Heart Journal - Digital HealthOpen Access

Preliminary results of a single, easy-to-use device for multimodal detection of intervals associated with heart failure decompensation

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Why the study?

Cardiac signal-recording tools for heart failure monitoring are emerging but constrained by usability and low signal-to-noise environments, prompting evaluation of a compact prototype for multimodal signal acquisition.

Does a compact multimodal device for PCG, PPG, and ECG acquisition detect changes in cardiac intervals associated with heart failure decompensation?

Population

41 hospitalised patients (36 included in analysis)

Comparison

Admission vs discharge measures, corroborated against non-congested inpatients and 338 healthy individuals

Design

Single-centre prospective study

Authors

DSDavid Sánchez-OrtizMRMercedes Rivas‐LasarteANAlejandro Nistal-Juarez

Discussion

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Overview

May support compact multimodal HF monitoring in hospital; leaves open clinical utility pending prospective validation.

Key Points

  • To evaluate whether a compact, easy-to-use prototype simultaneously recording phonocardiography, photoplethysmography, and electrocardiography can reliably identify cardiac intervals linked to heart failure decompensation.
  • Single-centre prospective study of 41 hospitalized patients (36 included in analysis) alongside non-congested cardiology inpatients and a reference cohort of 338 healthy individuals.
  • Obtained autonomous recordings of phonocardiography, electrocardiography, and pulse-wave photoplethysmography, utilizing a supervised iterative filtering pipeline based on coupled energy peaks to extract timing intervals.
  • Patients hospitalized with decompensated heart failure showed significant shortening at discharge compared with admission in electromechanical coupling time (0.148 ± 0.051 vs. 0.108 ± 0.039 s; p < 0.001) and isovolumetric contraction time (0.152 ± 0.098 vs. 0.071 ± 0.023 s; p < 0.001).
  • Ejection period measurements demonstrated significant changes between admission and discharge (0.257 ± 0.078 vs. 0.344 ± 0.082 s; p < 0.0001).

Structured PICO

Does a compact multimodal device for PCG, PPG, and ECG acquisition detect changes in cardiac intervals associated with heart failure decompensation?

P
Population
36 hospitalised patients with decompensated heart failure (from an initial cohort of 41), corroborated against a cardiology inpatient cohort without clinical congestion and a publicly available cohort of 338 healthy individuals.
I
Intervention
Compact prototype device for simultaneous autonomous acquisition of phonocardiography (PCG), electrocardiography (ECG), and pulse-wave photoplethysmography (PPG), with subsequent processing using a supervised iterative filtering pipeline.
C
Comparator
Measures at admission versus discharge (within-subject comparison), as well as comparisons with non-congested inpatients and healthy individuals.
O
Outcome
Changes in electromechanical coupling time, isovolumetric contraction time, and ejection period from admission to discharge.surrogate

A novel multimodal device can autonomously acquire and process PCG, PPG, and ECG signals to detect clinically relevant cardiac interval changes associated with heart failure decompensation and recovery.

Cite This Study

Sánchez-Ortiz et al. (2026) studied this question.

synapsesocial.com/papers/6a895facca7ade938187e7d7https://doi.org/10.1093/ehjdh/ztag135
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Noninvasive Multiparameter Monitoring for the Detection of Decompensated Heart Failure: Exploratory Study2025
  2. 2Non-invasive multiparameter monitoring for detection of decompensated heart failure: an exploratory study2024
  3. 3Detection and categorization of severe cardiac disorders based solely on pulse interval measurements2022
  4. 4Mechanocardiography-Based Measurement System Indicating Changes in Heart Failure Patients during Hospital Admission and Discharge2022 · 13 citations
  5. 5Artificial Intelligence Applied to Electrical and Non-Invasive Hemodynamic Markers in Elderly Decompensated Chronic Heart Failure Patients2024 · 2 citations