Abstract: Devices are known for measuring a subject's respiratory rate based on the subject's pulse wave or level of electrocardiogram. When the subject is exercising or carrying out daily activities, however, an electromyogram becomes imposed on the cardiogram waveform, so that a body motion component is superimposed on the pulse wave. This leads to an incorrect measured result. To overcome this drawback, a portable portion in the form of a wristwatch worn by the subject and a personal computer comprising device main body 330 are provided. A photoelectric pulse wave sensor is attached to the base of the subject's finger, and the pulse waveform is measured. An acceleration sensor is provided to the portable portion, and employed to detect the subject's body motion spectrum. Device main body 330 performs a window function on the pulse wave, and removes the acceleration component, so that the body motion spectrum is removed from the frequency spectrum of the pulse wave.

Abstract: An exercise intensity and exercise quantity measuring device is disclosed, which is capable of measuring the exercise intensity, irrespective of the type, of exercise, and measuring the exercise quantity only when the user is carrying out exercise of suitable intensity. The user first estimates his Vo.sub.2max in advance by the conventional direct method, and inputs this value into the device. The device determines upper and lower limit values of pulse rate corresponding to this Vo.sub.2max. During the time of exercise when pulse rate is between the upper and lower limit values, CPU 308 increments the accumulated time stored in RAM 309, at intervals based on a clock pulse supplied by oscillation circuit 311 and frequency dividing circuit 312. At the same time, CPU 308 compares the pulse waveform during exercise and the pulse waveform at rest, and estimates the exercise intensity.

Abstract: In order to obtain calorie expenditure with good accuracy, the device is provided with a basal metabolic state specifying element (142) which specifies the subject's basal metabolic state from his body temperature; a correlation storing element (151) which stores respective regression formulas showing the correlation between the pulse rate and the calorie expenditure when the subject is at rest or active; a correlation correcting element (152) which correcting the stored regression formulas using the basal metabolic state; a body motion determining element (104) which determines whether or not the subject is at rest; and a regression formula selecting element (153) which selects the regression formula which should be used in accordance with the results of this determination. The subject's pulse rate is applied in the selected regression formula, and the calorie expenditure corresponding to this pulse rate is calculated by calorie expenditure calculator (162).

Abstract: In a ball plug valve (10 ) which has a main opening (14 ) and an auxiliary opening (14 ) A serving as the inlet openings of a flow through hole (13 ) of a ball (12 ) and which has a sectorial opening (15 ) serving as an outlet opening thereof; it is set so that a tip (15 ) A of the sectorial opening (15 ) is in a first sealing region (17 ) A provided by an outlet sealing member near an outlet passage when the valve is fully closed, while the tip (15 ) A of the sectorial opening (15 ) passes across the outlet passage and enters a second sealing region (17 ) B provided by an outlet sealing member when the valve is fully opened.

Abstract: A health management device is provided, which enables the user himself to make a determination of the quality of his state of health, without the presence of a physician or nurse specialist. However, this device may of course be employed to receive measurement directives from, or provide notification to, a third party. Pulse sensor 4 measures the user's fingertip pulse wave. Acceleration sensor calculates an acceleration value from the user's body. These outputs are converted to digital signals at sensor interface 6. CPU1 determines whether or not the user is exercising based on the acceleration value read out from sensor interface 6. Based on this result, CPU1 takes up the user's pulse waves before and after exercise, and determines the acceleration pulse wave.

Abstract: A microcomputer performs a frequency analysis of pulse waves which are taken at regular time intervals from a patient through a pulse wave detection section. Then, if the amplitudes and phases of the spectra of the pulse waves fulfill some set conditions, either .alpha.-blocker or .beta.-blocker is given to the patient, and the patient's circulatory activity is maintained in a stable condition.