Title :
A model based filtering technique for driver´s heart rate monitoring using seat-embedded vibration sensors
Author :
Mizuno, Nobumi ; Washino, K.
Author_Institution :
Nagoya Inst. of Technol., Nagoya, Japan
Abstract :
In this paper we consider the driver´s heart rate monitoring problem for safety driving. To detect the heart rate of the driver, we adopt seat-embedded piezoelectric sensors. This sensor measures the body vibration caused by the heart beat but the signal also contains the large amount of car body vibration according to the road conditions. For this problem, we propose a heart rate detection system based on the ARX model based filtering technique.
Keywords :
biomechanics; biomedical equipment; biomedical measurement; electrocardiography; filtering theory; medical signal processing; patient monitoring; piezoelectric devices; vibration measurement; ARX model based filtering technique; car body vibration; driver heart rate monitoring; heart rate detection system; model based filtering technique; road conditions; safety driving; seat-embedded piezoelectric sensors; seat-embedded vibration sensors; Filtering; Heart rate; Mathematical model; Sensor systems; Vehicles; Vibrations; Signal processing; biophysical measurement; heart rate; monitoring; safety;
Conference_Titel :
Communications, Control and Signal Processing (ISCCSP), 2014 6th International Symposium on
Conference_Location :
Athens
DOI :
10.1109/ISCCSP.2014.6877834