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Biomedical subjects

Shingo Matsuoka

Publications and source records attributed to Shingo Matsuoka.

2 recordsLinked to original sources

A microcomputer-based daily living activity recording system.

A new daily living activity recording system has been developed for monitoring health conditions and living patterns, such as respiration, posture, activity/rest ratios and general activity level. The system employs a piezoelectric sensor, a dual axis accelerometer, two low-power active filters, a low-power 8-bit single chip microcomputer and a 128 MB compact flash memory. The piezoelectric sensor, whose electrical polarization voltage is produced by mechanical strain, detects body movements. Its high-frequency output components reflect body movements produced by walking and running activities, while the low frequency components are mainly respiratory. The dual axis accelerometer detects, from body X and Y tilt angles, whether the patient is standing, sitting or lying down (prone, supine, left side or right side). The detected respiratory, behavior and posture signals are stored by the compact flash memory. After recording, these data are downloaded to a desktop computer and analyzed.

Acceleration↗

A microcomputer-based respiratory and activity recording system.

A respiratory and activity recording system has been developed for monitoring health conditions and living patterns, such as activity/rest time periods and general activity level. The system employs a piezoelectric sensor, a low-power operational amplifier, a low-power 8-bit microcomputer and a 512 KB EEPROM. The piezoelectric sensor, whose electrical polarization voltage is produced by mechanical strain, records body movements produced by respiration, heart pulse, walking and running. The high and low frequency components from the recorded body movements are discriminated by high and low pass filters. The high frequency components reflect the body movements produced by cardiac vibrations, walking and running activities. The low frequency components are mainly generated by respiration. The degree of activity is obtained by summing the high frequency components for 1 second. The microcomputer stores the obtained low frequency components and activity to the EEPROM at 0.2 second and 1 second intervals, respectively. After recording, these stored data are downloaded to a desktop computer. The computer then detects behavior patterns from the activity data and respiration from the low frequency components.

Diagnosis, Computer-Assisted↗