Daisy-chain Shape Wearable Health Monitoring System by Using Fuzzy Logic Heart-Rate Extraction

Continuous human monitoring will be substantially useful to realize a high quality of life society. In the previous work, we fabricated a prototype system for monitoring an electrocardiograph, heart rate (HR), 3 axes human body acceleration and temperature for human body and human circumstances, simultaneously. These data are transmitted to the host PC and analyzed for the human activities or conditions recognitions. Above all a heart rate variability (HRV) that calculated from HR is extremely valuable for recognizing a mental or physical stress of human subjects. In this study, we demonstrate a fuzzy logic HR extraction algorithm on the daisy chain shaped wearable prototype device to realize an autonomous HRV monitoring system. On-board fuzzy logic algorithm not only reduces the communication traffic but also improves an accuracy of the HR extraction comparing to the simple threshold methods.