health life sciences medicine
Our team previously introduced an innovative concept for an "invisible" Electrocardiography (ECG) system, incorporating electrodes and sensors into a toilet seat design to enable signal acquisition from the thighs. Building upon that work, we now present a novel dataset featuring real-world, single-lead ECG signals captured at the thighs, offering a valuable resource for advancing research on thigh-based ECG for cardiovascular disease assessment. To our knowledge, this is the first dataset of its kind. The tOLIet dataset comprises 149 ECG recordings collected from 86 individuals (50 females, 36 males) with an average age of 31.73 ± 13.11 years, a mean weight of 66.89 ± 10.70 kg, and an average height of 166.82 ± 6.07 cm. Participants were recruited through direct contact with the Principal Investigator at Centro Hospitalar Universitário de Lisboa Central (CHULC) and via clinical consultations conducted at the same institution. Each recording includes four differential signals acquired from electrode pairs embedded in the toilet seat, with reference signals obtained from a standard 12-lead hospital ECG system.
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Creative Commons Attribution 4.0 International Public License
https://doi.org/10.13026/411k-1476
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tOLIet: Single-lead Thigh-based Electrocardiography Using Polimeric Dry Electrodes was accessed on DATE from https://registry.opendata.aws/tollet.
arn:aws:s3:::physionet-open/tollet/us-east-1aws s3 ls --no-sign-request s3://physionet-open/tollet/