Evidence map›Paper›PMID 36904628›Full record

ArticleSensors (Basel, Switzerland)2023

DDM-HSA: Dual Deterministic Model-Based Heart Sound Analysis for Daily Life Monitoring.

Miran Lee, Qun Wei, Soomin Lee, Heejoon Park

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Article in Sensors (Basel, Switzerland), 2023. 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.

Miran LeeDepartment of Computer and Information Engineering, Daegu University, Kyeongsan 38453, Republic of Korea.ORCID 0000-0003-4851-5030
Qun WeiDepartment of Biomedical Engineering, School of Medicine, Keimyung University, Daegu 42601, Republic of Korea.ORCID 0000-0002-2777-6349
Soomin LeeDepartment of Biomedical Engineering, Graduate School of Medicine, Keimyung University, Daegu 42601, Republic of Korea.ORCID 0000-0002-4584-0770
Heejoon ParkDepartment of Biomedical Engineering, School of Medicine, Keimyung University, Daegu 42601, Republic of Korea.ORCID 0000-0002-9509-3603

Funding

This research was supported by the Bisa Research Grant Program of the Keimyung University in 2018. 20180732
6 · The paper itself

Abstract

A sudden cardiac event in patients with heart disease can lead to a heart attack in extreme cases. Therefore, prompt interventions for the particular heart situation and periodic monitoring are critical. This study focuses on a heart sound analysis method that can be monitored daily using multimodal signals acquired with wearable devices. The dual deterministic model-based heart sound analysis is designed in a parallel structure that uses two bio-signals (PCG and PPG signals) related to the heartbeat, enabling more accurate heart sound identification. The experimental results show promising performance of the proposed Model III (DDM-HSA with window and envelope filter), which had the highest performance, and S1 and S2 showed average accuracy (unit: %) of 95.39 (±2.14) and 92.55 (±3.74), respectively. The findings of this study are anticipated to provide improved technology to detect heart sounds and analyze cardiac activities using only bio-signals that can be measured using wearable devices in a mobile environment.

Indexed as

Heart DiseasesHeart SoundsAlgorithmsHeartHeart RateHumansSignal Processing, Computer-Assisteddaily life monitoringheart soundphonocardiogramsphotoplethysmogramvascular transit time

Identifiers

PMID36904628
PMCPMC10007616

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read10
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.