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Equipments Used To Measure Blood Pressure

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Related Experiment Video

Updated: Jun 12, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

HealthRing: Physiology Dataset for Health Sensing on Rings.

Jiankai Tang¹, Kegang Wang¹, Yingke Ding¹

¹Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China.

Scientific Data

|June 10, 2026

Summary

This summary is machine-generated.

HealthRing provides a new dataset for validating smart ring cardiovascular monitoring. This research supports developing algorithms for accurate vital sign tracking in diverse conditions.

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Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

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Last Updated: Jun 12, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

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Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

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Area of Science:

Biomedical Engineering
Wearable Technology
Cardiovascular Monitoring

Background:

Smart rings offer unobtrusive cardiovascular vital sign monitoring using photoplethysmography (PPG).
Limited availability of open, multi-parameter datasets hinders rigorous validation of these devices.
Existing datasets often lack synchronized, multi-modal data covering diverse activity levels.

Purpose of the Study:

To introduce HealthRing, a novel, synchronized dataset for validating smart ring cardiovascular sensing.
To enable robust algorithm development for heart rate, respiratory rate, SpO2, and blood pressure estimation.
To assess the performance of PPG-based vital sign monitoring across controlled, daily-living, and motion-intensive scenarios.

Main Methods:

Collected synchronized data from 54 adults across three cohorts: scripted stimuli, semi-free-living activities, and treadmill running.
Utilized custom reflective and transmissive smart rings recording PPG and accelerometer data at 100 Hz.
Time-aligned ring data with clinical-grade measurements of heart rate (HR), respiratory rate (RR), peripheral oxygen saturation (SpO2), and blood pressure (SBP/DBP).

Main Results:

Achieved low mean absolute errors on controlled and daily cohorts: 5.33 BPM (HR), 2.98 breaths/min (RR), 1.72% (SpO2), 12.98 mmHg (SBP), 7.64 mmHg (DBP).
Demonstrated significant improvement in motion robustness on the treadmill cohort, reducing HR error from 36.91 to 23.99 BPM via fine-tuning.
Showcased reduced RR error from 5.44 to 4.61 breaths/min on the treadmill cohort through fine-tuning.

Conclusions:

HealthRing dataset addresses critical gaps in ring-based cardiovascular sensing validation.
The findings support the development of robust algorithms for PPG-based vital sign monitoring in various environments.
A publicly available toolkit (RingTool) facilitates preprocessing, signal processing, and deep learning for wearable sensor data.