24-hour physiological monitoring: Electrocardiogram, interstitial glucose, and ambulatory blood pressure

Data were prospectively collected from 30 volunteers recruited through advertisements at the University of Warwick. Data were recorded for a 24-hour free-living period of continuous monitoring, including electrocardiogram (ECG) (from a wearable sensor), interstitial glucose (from a clinically used device), and ambulatory blood pressure (from a clinically used device). To allow evaluation of the relationship between ECG morphology and other parameters, ECG morphology features were generated utilising a published deep learning-based ECG segmentor tool.
, Participants
A target of 30 participants was set for this study, and 30 were recruited. Pregnant individuals were the only group excluded from participation. On enrollment, participants’ information was collected, including age, gender, ethnicity, height, weight, general health status, use of medications, and frequency of physical activity. Participants were asked to complete a daily food and activity diary, as well as the Consensus Sleep Diary (CSD) 1. The CSD is a standardised assessment developed by expert consensus and tested in patient-focused groups, which allows the collection of self-reported information, including sleep duration, disturbance, and timing.
Ethical approval for the study was obtained from the Biomedical and Scientific Research Ethics Committee of the University of Warwick (Ref: BSREC 53/21-22 AM01). All participants were provided with comprehensive study details and instructions and gave written informed consent prior to participation.
 
Protocol
Participants..., , # Dataset README: Multimodal Physiological Sensor Data

24-hour physiological monitoring; electrocardiogram, interstitial glucose, ambulatory blood pressure
Dataset DOI: [https://doi.org/10.5061/dryad.qjq2bvqpk](https://doi.org/10.5061/dryad.qjq2bvqpk)

This dataset contains multimodal physiological recordings from 30 study participants, collected using wearable sensors and monitoring devices. It includes raw and segmented data from ECG and activity monitors, continuous glucose monitors (CGM), and ambulatory blood pressure monitors (ABPM), along with device setup notes and sleep annotations.

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## File Overview

### 1. `Per_Participant_Sensor_Data.zip`

#### Folder Structure

* One folder per participant, named using a three-digit ID (e.g., `001`, `002`, ..., `030`).
* Each participant folder may contain:
* `ID_Zephyr/` – Zephyr wearable ECG and activity monitor data
* `ID_glucose.csv` – CGM data (only for participants assigned a CGM)
* `ID_ABPM` – ABPM data

#### a. Zephyr Sub..., No direct identifiers (e.g., names, dates of birth, addresses) or indirect identifiers (e.g., full combinations of demographic variables that could risk re-identification) are included.

Participants provided informed consent for data collection and agreed to the sharing of de-identified data for research purposes. Questionnaire data have been excluded from the Dryad archive due to the potential for indirect identification. The remaining datasets contain physiological and sensor-derived variables that are not individually identifying and have been reviewed to ensure compliance with Dryad’s human subjects data policy.