Wavelet System with Pulse to Calculate Breathing and Heart Rate Simultaneously

Abstract

We have been in aging society for years. Aging population causes an increase in the number of elderly population. And declining birthrate causes a decrease in the number of caregivers. These cause the decline in the quality of nursing home. So that is one of social issues that needs solution urgently. From the background of our society, especially home healthcare has become more important due to the issue. To support home healthcare, we have developed a device and its system to make home healthcare easy. The device is a smartwatch which measures pulse on wrist. Its system calculates breathing rate and heart rate from the pulse data at the same time. The algorithm was Fast Fourier Transform (FFT). And the system used preset frequency ranges to extract breathing rate and heart rate. In this study, we introduce new system for the device to set the frequency ranges automatically. So, this time, we put wavelet algorithm into the device system, instead of FFT. With wavelet algorithm, the device system sets frequency ranges of breathing rate and heart rate. Then it extracts each data, even if the ranges are fluctuating. So, it calculates breathing rate and heart rate with robustness.