A method of monitoring physiological conditions including an acoustic measurement device and a remote controller. The remove controller configured to measure physiological conditions; calculate absolute tidal volume, a direction of tidal volume, and a rate of change of tidal volume; correlate absolute tidal volume, a direction of tidal volume, and a rate of change of tidal volume to a risk score; calculate a direction trend and rate of change for each physiological condition; correlate the direction trend and rate of change for each physiological condition; detect predefined patterns in the direction trend and rate of change of the measured physiological condition at the predetermined interval; and generating at least one from the group consisting of an alert, an alarm, and a medical treatment if the risk score defined on the predefined scale exceeds a first predetermined risk score threshold and at least one predefined pattern is detected.

An ear-wearable electronic device comprises a motion sensor configured to generate motion information and a first respiration rate estimated using the motion information. A

PPG sensor is configured to generate PPG data and a second respiration rate estimate using the PPG data. A processor is configured to produce a respiration rate estimate using the first and second respiration rate estimates. A communication device is configured to communicate the respiration rate estimate to one or both of an external electronic device and a cloud database.

A method for obtaining a cycle of a physiological signal includes: a collection device for collecting a vibration signal of body movements; a processor for obtaining a physiological signal by processing the vibration signal; receiving a physiological signal value and a register value, comparing the physiological signal value with the register value, and reserving one of the physiological signal value and the register value; determining the physiological signal value having a corresponding time duration, reaching a given set time to be an extreme value, wherein the time duration is a time duration of the physiological signal value received is not exceeded; restarting the procedure and determining a next extreme value; obtaining the cycle of the physiological signal by processing the at least one extreme value; and displaying the cycle of the physiological signal in a display device.

A method of monitoring a medical instrument during a medical procedure includes: receiving state information from a control system in communication with the medical instrument; detecting, by the control system, motion of at least a portion of the medical instrument; comparing the detected motion of the at least the portion of the medical instrument with a threshold motion value based on the state information received from the control system; determining, based on the detected motion exceeding the threshold motion value, significant movement of a patient has occurred; providing a system response based on determining significant movement of the patient has occurred; comparing the detected motion with a threshold control value, wherein the threshold control value is higher than the threshold motion value; and disregarding, when the detected motion is higher than the threshold control value, motion commands received from a master assembly.

An in-vehicle life detection system and detection method thereof are provided. The system includes a processor, an electromagnetic wave detection module, and a warning module. The method includes following steps: vehicle condition identifying step, life form detecting step, and warning step. Upon receiving an engine off signal and a driver absence signal, the processor emits a detection activation signal, activating the electromagnetic wave detection module to emit an electromagnetic wave for detecting a life form. When the life form is detected, the warning module sends a warning signal, indicating that the life form is left in the vehicle when the vehicle is in the engine off status with the doors closed. Thus, the tragedy of a life form remaining inside the vehicle incapable of calling for help is avoided.

Systems and methods of identifying medical disorders in one or more subjects are disclosed herein. In one embodiment, sound is transmitted toward a subject and at least a portion of the sound reflected by the subject and is acquired as echo data. The acquired echo data is used to generate a motion waveform having a plurality of peaks detected therein. At least a portion of the plurality of peaks may be indicative of movement of the subject. One or more medical disorders in the subject can be identified based on, for example, time durations and/or amplitude changes between peaks detected in the motion waveform.

Methods of monitoring a medical instrument are provided. The methods may include receiving state information from a control system in communication with the medical instrument; detecting motion of at least a portion of the medical instrument and comparing the motion of the portion of the medical instrument with a threshold motion value that is based on the state information received from the control system. The methods may further include generating a communication message for presentation to an operator of the medical instrument based on the comparison of the motion with the threshold motion value. Corresponding systems are also provided.

A body motion determination system (100) configured to determine whether or not a subject (S) on a bed (BD) has a body motion includes: a plurality of load detectors (11, 12, 13, 14) each configured to detect the load of the subject on the bed; a respiratory waveform obtaining unit (32) configured to obtain a respiratory waveform of the subject based on a temporal variation of the load of the subject detected by each of the plurality of load detectors; and a body motion determining unit (33) configured to determine whether or not the subject has the body motion based on a comparison between a first threshold value and a standard deviation of the temporal variations in the load of the subject detected by at least one of the plurality of load detectors. The body motion determining unit is configured to compensate the standard deviation to be used in the comparison by an amplitude of the respiratory waveform.

A body motion determination system (100) configured to determine whether or not a subject (S) on a bed (BD) has a body motion includes: a plurality of load detectors (11, 12, 13, 14) each configured to detect the load of the subject on the bed; a respiratory waveform obtaining unit (32) configured to obtain a respiratory waveform of the subject based on a temporal variation of the load of the subject detected by each of the plurality of load detectors; and a body motion determining unit (33) configured to determine whether or not the subject has the body motion based on a comparison between a first threshold value and a standard deviation of the temporal variations in the load of the subject detected by at least one of the plurality of load detectors. The body motion determining unit is configured to compensate the standard deviation to be used in the comparison by an amplitude of the respiratory waveform.

Intraoral electronic sensing for health monitoring is disclosed. Wireless connectivity is provided between a processor and a wireless transmitting device. The wireless transmitting device is embedded in an intraoral sensing interface for use in a person. Sensors are coupled to the wireless transmitting device, wherein the sensors are attached to the intraoral sensing interface. The sensors include a photoplethysmography (PPG) sensor to detect cardiac activity, a breathing sensor to detect pulmonary function, an inertial measurement unit (IMU) sensor to detect three-dimensional motion, and a temperature sensor to monitor body temperature. Further sensors include an electroencephalogram sensor to detect brain activity. Health data about the person is provided to a receiving device, based on data from one or more of the PPG sensor, the breathing sensor, the IMU sensor, and the temperature sensor. The health data is provided using the wireless connectivity.