Takayuki Fujita, Takayuki Fujita, Tomoya Tanaka, Tomoya Tanaka, Koji Sonoda, Koji Sonoda, Manabu Nii, Manabu Nii, Kensuke Kanda, Kensuke Kanda, Kohei Higuchi, Kazusuke Maenaka, Kazusuke Maenaka
International Journal of Intelligent Computing in Medical Sciences and Image Processing 5 125-133 2013年9月1日
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. © 2013, TSI® Press.