AI & ML
A Synchronized Tri-Modality Wireless System for Multi-Point Non-Contact Cardiac Monitoring
arXiv eess.SY0 views
arXiv:2611.07358v1 Announce Type: cross Abstract: Cardiac physiological monitoring is fundamental to evaluating cardiovascular health and diagnosing related diseases. Non-contact radar sensing can capture chest-wall vibrations with spatial specificity, enabling localized physiological monitoring and cardiac assessment. Progress, however, has been limited by the absence of a reliable, research-grade hardware platform for rigorous validation of radar-based methods. Prior systems typically pair radar, namely Doppler cardiography (DCG), with only electrocardiography (ECG) or other coarse references, providing no direct mechanical ground truth and thus constraining fine-grained evaluation of radar outputs. We present a tri-modality wireless system that integrates ECG, seismocardiography (SCG), and DCG under a unified acquisition and control framework for time-aligned recording and analysis. The tri-modality system combines miniaturized wearable ECG/SCG modules with a high-resolution mmWave radar module, supporting spatially resolved sensing and subsequent feature extraction. To our knowledge, this is the first integrated ECG--SCG--DCG hardware system for comprehensive cardiac monitoring; it enables multi-point thoracic acquisition, achieves precise cross-modal synchronization, and maintains specifications suitable for wearable operation. Experiments on a linear-motion platform show close agreement between DCG- and SCG-derived displacements, confirming accurate displacement measurement. Human-subject studies further demonstrate cross-modal consistency and robust extraction of feature points, establishing ECG as the electrical anchor and SCG as the mechanical ground truth for DCG. Overall, the system provides a rigorous, spatially resolved validation platform that advances non-contact cardiac sensing and supports next-generation radar-based monitoring.
Source:https://arxiv.org/abs/2611.07358PreviousAn Ordering Optimization for Fruit-Vegetable in High-Density Environment based on Genetic AlgorithmNextDynamic Watermarking and Action-Conditioned Latent Dynamics for Secure Vision-Based Controllers
Related posts

My n8n Trigger Wasn’t Firing. The Problem Was Embarrassingly Simple (my pick)
0dev.to

osFoundry 這套桌面 AI 工作空間是什麼,又分成哪些區域?
0dev.to
UpCodes (YC S17) is hiring SDR's to sell AI compliance software
0Hacker News
AI coding goes from generation to verification
0dev.to AI
Stop Paying AWS to Talk to Itself: When to Use VPC Endpoints Instead of a NAT Gateway
0dev.to AWS
We Checked 20 Big US Retailers Before the AI Shopping Holiday. Half Turned Our Checker Away.
0dev.to WebDev