A Multi-posture Asymmetry-aware Intelligent Bilateral Observation Dataset for Cardiovascular Monitoring

Jiarong Chen, Rong Li, Bin Liu, Min Wang, Wenqi Shi, Ronghui Gao, Qingyan Qiu, Ronghua Tu, Yue Wang, G C Wang, Min Dai, C J Chen

Photoplethysmography (PPG) is a non-invasive optical sensing modality that captures peripheral blood-volume dynamics related to cardiac activity and vascular function, making it useful for frequent cardiovascular monitoring with wearable devices. However, existing public PPG datasets remain limited in their ability to represent bilateral and posture-dependent physiological variability in wearable settings. We present MAIBO, a multi-posture, asymmetry-aware bilateral PPG dataset for continuous cardiovascular monitoring. MAIBO comprises synchronized PPG signals acquired from both hands using wearable rings under three standardized postural conditions. The dataset includes 1810 participants and 7478 measurement sessions, with reference annotations of systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), and demographic attributes including age, gender, and body mass index (BMI). All data were collected under controlled multi-postural protocols and subjected to quality-control procedures, including the removal of incomplete samples and missing signal segments. By offering a well-curated and reproducible resource, MAIBO can support method development for wearable cardiovascular monitoring and studies of bilateral and posture-dependent digital phenotypes.