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<p>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 <i>tOLIet</i> 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&#xa0;±&#xa0;13.11 years; weight 66.89&#xa0;±&#xa0;10.70 kg; height 166.82&#xa0;±&#xa0;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.</p>

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Single-lead Thigh ECG Dataset (tOLIet) with Analysis of BMI Effects on Cardiac Signal Quality

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月12日

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  • Aline Santos Silva,
  • Miguel Velhote Correia,
  • Sérgio Matoso Laranjo,
  • Helena Fonseca,
  • Andreia Cristina Gonçalves da Costa,
  • Hugo Plácido da Silva

摘要

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.