Single-lead Thigh ECG Dataset (tOLIet) with Analysis of BMI Effects on Cardiac Signal Quality
Year: 2026
Type: data-paper
Study design: Observational Study
Abstract: In previous work, we introduced an 'invisible' ECG system with electrodes integrated into a toilet seat, capturing signals from the thighs. Here, we present the tOLIet dataset with single-lead thigh ECGs to advance cardiovascular assessment using this novel approach. The dataset includes 149 records from 86 individuals (50 females, 36 males; mean age 31.73 ± 13.11 years; weight 66.89 ± 10.70 kg; height 166.82 ± 6.07 cm). Participants were recruited via the Centro Hospitalar Universitário de Lisboa Central (CHULC). Each recording features four differential signals from toilet-seat electrodes alongside reference data from a hospital-grade 12-lead ECG. Beyond signal collection and quality evaluation, we conducted a gender-specific analysis comparing valid signal percentages relative to Body Mass Index (BMI). This analysis explores anatomical or physiological factors affecting thigh-based ECG acquisition, guiding system design and customization to enhance signal reliability across populations.
Source: Scientific Data
Language: English
Topic: ECG Monitoring and Analysis
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,490
Awards: G3244141788, G3850789590, G3884855522, Instituto de Telecomunicações, INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC TEC), G6997658380, INESC TEC – Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, Novel Approaches to Health and Wellbeing Monitoring in Sanitary Facilities
OpenAlex ID: W7135148752
