Modular Reconfigurable\nApproach Toward Noninvasive\nWearable Body Net for Monitoring Sweat and Physiological Signals
In the realm of wearable technology, strategically placing\nsensors\nat various body locations enhances the detection of diverse physiological\nindicators crucial for remote medical care. However, current devices\noften focus on a single body part for specific physical parameters,\nwhich hinders the seamless integration of sensors across multiple\nbody parts and necessitates redesign for new detection capabilities.\nHere, we propose a modular, reconfigurable circuit assembly method\nthat can be adaptable for multiple body locations to construct the\nbody net. By simply reassembling different child modules with the\nbase module using flexible printed circuit board connectors, we can\nefficiently detect various parameters including sweat ion indicators,\nelectrocardiogram signals, electromyography signals, motion data,\nheart rate, blood oxygen saturation, and skin temperature. These data\ncan be transmitted to a mobile phone app via a Bluetooth Low Energy\nprotocol for further evaluation. Comparative evaluations against established\ncommercial devices substantiate the viability of our sensor technology.\nIn addition, results from wearable body network detections using reconfigurable\nsensors across multiple body parts of volunteers also indicate promising\napplication prospects, demonstrating the extensive potential for regular\nhealth monitoring and clinical applications.
Publication Details
- Journal
- Figshare
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1021/acssensors.4c02141.s004
- Primary Topic
- Plant Taxonomy and Phylogenetics
- Type
- article
- Field-Weighted Citation Impact
- 0.00