An active medical device, comprising a processor, a memory unit, and at least one of an accelerometer and a detection unit configured to detect a body impedance. During operation, the active medical device carries out the following steps a) measuring a body impedance of a patient with the detection unit during a first period of time to obtain time-dependent impedance data and calculating a power spectral density of the impedance data; b) alternatively or additionally, to step a), measuring an acceleration of a body of the patient with the accelerometer during the first period of time to obtain time-dependent acceleration data and calculating a power spectral density of the acceleration data; c) identifying coughing of the patient on the basis of the calculated power spectral density if at least 1% of all values of the power spectral density have a frequency of at least 1 Hz.

A method of estimating a number of lung function indices of an individual. The method includes: transmitting an ultrasound signal toward a chest of the individual from a speaker of a smartphone while the individual is holding the smartphone in a hand of the individual; receiving in a microphone of the smartphone a reflected signal reflected from the chest of the individual in response to the ultrasound signal; extracting a number of features from the reflected signal; and providing the number of features to a neural network regression model, wherein the neural network regression model estimates the number of lung function indices based on the number of features and based on a non-linear correlation between chest wall motion and human lung function.

A device, system and method for monitoring a pulmonary system of a subject. An optical member for emitting a light signal through a cavity of the pulmonary system of the subject. The optical member and a detector unit are configured to be positioned so that the light signal detected that has ebb transmitted from the optical member through the cavity. A control unit is configured for evaluating the detected light signal for determining a physiological status of said pulmonary system of the subject.

A user-wearable sensor device may be configured to be directly or indirectly secured to a user or to an article worn by the user. The user-wearable sensor device may include at least one sensor configured to collect sensor data associated with an orientation of the user, a display unit including at least one LED or other visual indicator, a battery configured to provide power to at least the display unit, and a control system. The control system may be configured to determine the orientation of the user based on sensor data collected by the at least one sensor, maintain the display unit in a deactivated state in the absence of a defined activation input, detect a defined activation input, activate the deactivated display unit in response to detecting the defined activation input, and control the activated display unit based on the determined orientation of the user.

The present invention provides a technique capable of accurately and automatically setting a region of interest for acquiring biological information based on a biological information signal obtained from a subject placed in an examination space in a non-contact manner. A signal analyzing unit of a medical imaging apparatus uses the biological information signal for each of a plurality of regions included in a predetermined range among signals measured by a biological information measuring apparatus to select the region of interest in which movement of the subject is to be acquired among the plurality of regions. The movement of the subject is calculated using the biological information signal measured by the biological information measuring apparatus from the selected region of interest.

The present invention provides a technique capable of accurately and automatically setting a region of interest for acquiring biological information based on a biological information signal obtained from a subject placed in an examination space in a non-contact manner. A signal analyzing unit of a medical imaging apparatus uses the biological information signal for each of a plurality of regions included in a predetermined range among signals measured by a biological information measuring apparatus to select the region of interest in which movement of the subject is to be acquired among the plurality of regions. The movement of the subject is calculated using the biological information signal measured by the biological information measuring apparatus from the selected region of interest.

A bed integrates sensors and other inputs to detect specific sleep environment conditions including point-specific pressure and/or temperature conditions. The bed includes a controller for commanding actuator or other devices to adjust these conditions. The controller may do so based on reference patterns for conditions and profiles of desired conditions. Information regarding the conditions may be provided to a remote computer, which may analyze the conditions and provide revised profiles of desired conditions.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

Embodiments of the present disclosure provide systems and methods directed to contactless motion tracking. In operation, a speaker may provide an acoustic signal to, for example, a subject. A microphone array may receive a reflected acoustic signal, where the received reflected signal is responsive to the acoustic signal reflecting off the subject. A computing device may extraction motion data of the subject based on the received reflected acoustic signal. Various motion data extraction methods are described herein. The motion data may include respiration motion, coarse movement motion, respiration rate, and the like. Using the extracted motion data, the processor may identify at least one health condition and/or sleep anomaly corresponding to the subject. In some examples, beamforming is implemented to aid in contactless motion tracking.

Embodiments of the present disclosure provide systems and methods directed to contactless motion tracking. In operation, a speaker may provide an acoustic signal to, for example, a subject. A microphone array may receive a reflected acoustic signal, where the received reflected signal is responsive to the acoustic signal reflecting off the subject. A computing device may extraction motion data of the subject based on the received reflected acoustic signal. Various motion data extraction methods are described herein. The motion data may include respiration motion, coarse movement motion, respiration rate, and the like. Using the extracted motion data, the processor may identify at least one health condition and/or sleep anomaly corresponding to the subject. In some examples, beamforming is implemented to aid in contactless motion tracking.