Wearable Capacitive Patches for Data Fusion in Biomedical Monitoring & Physical Activity
| Autor: | Savas Kaya, Yunus Kelestemur, Julian C. Runyon, Akanksha Rohit |
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| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science Capacitive sensing 010401 analytical chemistry Humidity Wearable computer 02 engineering and technology 021001 nanoscience & nanotechnology Accelerometer Sensor fusion 01 natural sciences Temperature measurement Signal 0104 chemical sciences Microcontroller Computer vision Sensitivity (control systems) Artificial intelligence 0210 nano-technology business |
| Zdroj: | MWSCAS |
| Popis: | We present on the design of wearable multi-sensor patches for tracking posture, limb movements and general biomedical health. The sensor patch incorporates textile-based capacitive sensor elements to capture critical information on the strength, frequency and duration between specific episodes of movements in the arms, legs and torso. Also embedded into the capacitive patches and bands are compact off-the-shelf heart-rate, blood oxygenation, temperature, humidity, accelerometer, impact and vibrational sensors integrated on a wireless (BLE) microcontroller platform. Based on the captured signal characteristics and sequences, complex activities and body movements can be tracked, which can be used to monitor user activity, training performance, and biomedical health. The capacitive elements consist of stretchable textiles, embroidered patterns and nano-composites of elastomers (PDMS/PVDF) in layered arrangements for maximum sensitivity and ductility. The magnitude and temporal changes in the sensor arrays can be converted into the recognizable activities and actionable intelligence on general health parameters. Hence the proposed wearable patches with integrated arrays of sensors will allow us to pursue compact, cost-effective, power-efficient solutions in the emerging era of sensor fusion for performance monitoring, worker training, high-risk patients. |
| Databáze: | OpenAIRE |
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