In a configuration in which a holder holding a controller is mounted on a seat part with a plate-shaped member, the exposure of the mounting part of the plate-shaped member on which the holder is mounted is eliminated. A seat device includes a pressure sensor measuring a value relating to the seated person's state, a vibration imparting device a vibration imparting operation, an ECU controlling the vibration imparting device corresponding to the measurement result of the pressure sensor, a holder holding the ECU, and a mounting bracket fixed to a lower frame such that the holder is mounted on the lower frame of a seat part. The mounting bracket includes a mounting projection on which a side wall of the holder is mounted in a predetermined mounting direction. When the side wall is mounted on the mounting projection, the mounting projection is covered with the side wall.

A human body support, such as a chair, has a plurality of electrodes arranged in an array and spaced longitudinally with respect to the human body. The array extends from an inferior position to a more superior position along the body. A sensor measures a parameter of the human body that is capable of indicating the presence of drowsiness. A controller has an input connected to the sensor for receiving a signal representing the sensed parameter and has outputs connected to each of the electrodes. The controller detects whether the sensed parameter is within a range indicating the presence of drowsiness and applies a wave of electrical stimuli against the human body in response to detection of a sensed parameter within the range. The electrical stimuli cause periodic tightening and relaxing of proximate muscles as the wave progresses in a direction from an inferior location on the human body toward a more superior location.

A dynamic anatomic atlas is disclosed, comprising static atlas data describing atlas segments and dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments.

There is provided a respiration estimation apparatus. The respiration estimation apparatus includes an R-wave amplitude detection unit (5) configured to detect an amplitude of an R wave from a cardiac potential waveform of a subject, an R-R interval detection unit (6) configured to detect an R-R interval as an interval between an R wave and an immediately preceding R wave from the cardiac potential waveform, an acceleration displacement detection unit (7) configured to detect an angular displacement of an acceleration vector from a triaxial acceleration signal by a respiratory motion of the subject, a Fourier transform unit (10) configured to Fourier-transform each of time-series signals of the R-wave amplitude, the R-R interval, and the angular displacement to obtain a frequency spectrum of each of the signals of the R-wave amplitude, the R-R interval, and the angular displacement, and a signal selection unit (11) configured to extract a frequency as a candidate of a respiration frequency of the subject from each of the frequency spectrum of the R-wave amplitude, the frequency spectrum of the R-R interval, and the frequency spectrum of the angular displacement, and select best data from the frequencies as the respiration frequency of the subject.

There is provided a respiration estimation apparatus. The respiration estimation apparatus includes an R-wave amplitude detection unit (5) configured to detect an amplitude of an R wave from a cardiac potential waveform of a subject, an R-R interval detection unit (6) configured to detect an R-R interval as an interval between an R wave and an immediately preceding R wave from the cardiac potential waveform, an acceleration displacement detection unit (7) configured to detect an angular displacement of an acceleration vector from a triaxial acceleration signal by a respiratory motion of the subject, a Fourier transform unit (10) configured to Fourier-transform each of time-series signals of the R-wave amplitude, the R-R interval, and the angular displacement to obtain a frequency spectrum of each of the signals of the R-wave amplitude, the R-R interval, and the angular displacement, and a signal selection unit (11) configured to extract a frequency as a candidate of a respiration frequency of the subject from each of the frequency spectrum of the R-wave amplitude, the frequency spectrum of the R-R interval, and the frequency spectrum of the angular displacement, and select best data from the frequencies as the respiration frequency of the subject.

The subject of the invention is a system for collecting medical data such as heart rate, breathing frequency, intracranial pressure, apnea and others, and method of use thereof. The present invention provides a unique way of collecting medical data, in particular in their acquisition from a plurality of measuring elements.

A system for assisting a rescuer in performing cardio-pulmonary resuscitation (CPR) on a patient includes: a proximity sensor configured to be positioned at a location corresponding to a location of a rescuer's hand when delivering compressions to a patient's chest, the proximity sensor configured to produce a signal indicative of the rescuer's hands being released from the patient's chest; a medical device operatively coupled with the proximity sensor and configured to provide resuscitative treatment to the patient; and a controller communicatively coupled with the medical device and the proximity sensor. The controller is configured to: determine, based upon the signal from the proximity sensor, if the rescuer's hands have been released from the patient's chest, and trigger an action by the medical device in response to a determination that the rescuer's hands have been released from the patient's chest.

A system for assisting a rescuer in performing cardio-pulmonary resuscitation (CPR) on a patient includes: a proximity sensor configured to be positioned at a location corresponding to a location of a rescuer's hand when delivering compressions to a patient's chest, the proximity sensor configured to produce a signal indicative of the rescuer's hands being released from the patient's chest; a medical device operatively coupled with the proximity sensor and configured to provide resuscitative treatment to the patient; and a controller communicatively coupled with the medical device and the proximity sensor. The controller is configured to: determine, based upon the signal from the proximity sensor, if the rescuer's hands have been released from the patient's chest, and trigger an action by the medical device in response to a determination that the rescuer's hands have been released from the patient's chest.

Disclosed herein are systems, devices, and methods for remotely measuring one or more vital signs of a patient, securely storing and communicating the resulting vital sign data, and configuring the vital sign data for secure access by a healthcare provider computer system to enable remote monitoring of the patients vital signs. One or more vital sign monitoring devices detect patient vital signs and securely transmit the resulting vital sign data to an external computer device such as the patients smart phone or abase station computer device. The external computer device communicates with a server system, such as a secure cloud storage system, which configures the vital sign measurement data and received patient identification data and makes it accessible to one or more healthcare provider computer systems.

A biological state monitoring system (100) for monitoring a biological state of a subject on a bed (BD) over a predetermined monitoring period, includes: at least one load detector (11, 12, 13, 14) configured to detect a load of the subject on the bed; and a respiratory rate estimating unit (34) configured to successively obtain and output estimated values of a respiratory rate of the subject, based on a temporal variation of a detection value of the load detector. The monitoring period includes a body motion period in which the subject has a body motion, and a resting period in which the subject merely performs a respiration. In a case that the monitoring period shifts from a first resting period to the body motion period and then from the body motion period to a second resting period, the respiratory rate estimating unit outputs, in the body motion period and a predetermined period starting from the shifting from the body motion period to the second resting period, a last estimated value which is the latest among the estimated values obtained successively in the first resting period.