Evidence map›Paper›PMID 42890376›Full record

ArticleData in brief2026

HSBP-DB: A synchronised phonocardiography and arterial blood pressure dataset for multi-class hypertension staging under resting and exercise conditions.

Sairul Izwan Bin Safie, Nurfatin Najwa Othman, Nur Dania Ajrina Rahim

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Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Sairul Izwan Bin SafieUniversiti Kuala Lumpur, Malaysian Institute of Industrial Technology, Johor, Malaysia.
Nurfatin Najwa OthmanUniversiti Kuala Lumpur, Malaysian Institute of Industrial Technology, Johor, Malaysia.
Nur Dania Ajrina RahimUniversiti Kuala Lumpur, Malaysian Institute of Industrial Technology, Johor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HSBP-DB is a novel, annotated, and synchronised multimodal corpus of phonocardiography (PCG) and arterial blood pressure (BP) recordings, assembled to address the absence of a purpose-built, openly accessible benchmark for multi-class hypertension staging from cardiac acoustic signals. The dataset comprises 400 recordings acquired from 50 adult participants (32 male, 18 female; age: 22.70 ± 2.00 years; BMI: 23.82 ± 4.86 kg/m²) at the Gymnasium, Universiti Kuala Lumpur Malaysian Institute of Industrial Technology (UniKL MITEC), Johor, Malaysia. Each participant completed a repeated-measures protocol of five resting-baseline (RT) and three post-exercise (EX) sessions, yielding eight recordings per participant across two physiologically distinct haemodynamic conditions. PCG signals were acquired using the 3M Littmann CORE Digital Stethoscope (Model 8480), positioned at Erb's point (left sternal border, fourth intercostal space) and sampled at 4,000 Hz. Concurrent ground-truth BP measurements were obtained using the Contec ABPM50 oscillometric ambulatory monitor (ESH-IP 2010 validated; ±3 mmHg accuracy), applied to the left upper arm in accordance with AHA clinical measurement guidelines. A sequential reference-first protocol was enforced to ensure temporal alignment between the haemodynamic state encoded in the BP reference label and the corresponding PCG recording. Each recording is assigned a structured anonymisation identifier embedding the participant code, session index, systolic pressure (SBP), diastolic pressure (DBP), and mean arterial pressure (MAP). BP class labels were applied at the recording level according to the 2017 American Heart Association / American College of Cardiology (AHA/ACC) four-class schema - Normal, Elevated, Hypertension Stage 1 (HTN-1), and Hypertension Stage 2 (HTN-2) - yielding a class distribution of Normal: 170 (42.5%), Elevated: 78 (19.5%), HTN-1: 112 (28.0%), and HTN-2: 40 (10.0%). HSBP-DB is deposited exclusively as raw, uncompressed .wav PCG waveforms, organised into four class-stratified directories mirroring the AHA/ACC classification scheme. All recording-level metadata - participant identity, session index, and haemodynamic labels - are self-contained within each filename, eliminating dependency on external metadata files while preserving full label-to-signal traceability. HSBP-DB is publicly deposited in Mendeley Data (DOI: 10.17632/fwx556cgjy.1) and is made available to support reproducible research in cuffless BP estimation, PCG-based haemodynamic biomarker extraction, ordinal classification, and multimodal cardiovascular signal processing.

Indexed as

Blood pressure annotationCardiac acousticsHypertension stagingMulti-condition corpusPCG–BP corpusPhonocardiography

Identifiers

PMID42890376
PMCPMC13673018

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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.