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Robotics

Sensing

Non-contact heart rate and blood pressure estimation using a camera

In recent years, it has become possible to measure heart rate from wearable devices. However, they are still contact-type devices, and their discomfort makes it difficult to apply them during sleep, so contactless devices are preferred. Therefore, this research is developing a non-contact, real-time system for estimating a person's heart rate using a commercially available infrared camera. Generally, heart rate measurement using a camera observes minute color changes on the skin surface. However, accurate estimation is difficult due to unconscious body motion noise caused by breathing and other factors. Therefore, we improved the accuracy by using signal processing that combines multiple filters. Since this research uses an infrared camera, it can be applied during sleep and can be used to determine the state of sleep.

　Heart rate and blood pressure are vital signs, and their measurement is of critical significance. We are conducting research on unrestrained blood pressure estimation using camera-based sensing technology and machine learning. In existing studies, blood pressure was estimated by extracting characteristic parameters of pulse wave extracted from video images and using regression learning, but since this method is prone to disturbance, Distance PPG was used in the pulse wave extraction process in order to increase SNR. These studies are expected to improve the convenience of measurement in non-medical settings.

Development of a non-invasive electrocardiogram measurement system combining a capacitively coupled electrode and a microwave Doppler sensor

Capacitive coupled electrocardiography systems can sense electrocardiograms even when the subject is wearing clothing, thus enabling more physiological information to be obtained from the subject. However, capacitive coupled electrocardiography systems also have disadvantages. For example, the sensing environment is restricted to a limited space, and the number and type of clothing worn can affect sensing accuracy. In contrast, it has been reported that a heartbeat-sensing system using a microwave Doppler sensor can accurately sense the subject's external factors. In this study, we improved the performance of a capacitively coupled electrocardiographic system and designed a Heart Rate sensing system using a microwave Doppler sensor, by fusing two sensors in a range where sensing is impossible with only a single sensor, we were able to obtain missing physiological information, thereby making it possible to measure the subject. The system will expand the range of measurement possibilities for subjects by acquiring physiological information that is missing by fusing two sensors in a range that cannot be sensed by a single sensor alone.

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