A61B5/113

Hearing Device-Based Systems and Methods for Determining a Quality Index for a Cardiorespiratory Measurement

An illustrative hearing system may be configured to receive, from an inertial sensor included in a hearing device configured to be worn by a user, inertial sensor data representative of at least one of motion of the hearing device or orientation of the hearing device. The hearing system may further be configured to determine, based on the inertial sensor data, an activity state of the user and to determine, based on the activity state, a cardiorespiratory quality index representative of a quality level of a measurement of a cardiorespiratory property of the user.

Focused ultrasound cardiac stimulation system, portable device and cardiac stimulation, and associated methods

An ultrasound cardiac stimulation system includes: a system for measuring the heart electrical activity; a system for generating a beam of focussed ultrasound signals focussed on a targeted zone, the signals being calibrated to generate electrical stimulation in a zone of the heart, the beam generation being synchronised with a first selected time of the electrocardiogram, the generation of the beam corresponding to a pulse with a duration of less than 80 ms; a system for locating the targeted zone coupled with a system for positioning the system for generating the focussed beam to control the beam of focussed ultrasound signals in the targeted zone, the location system being synchronised with the system for generating the beam of focussed signals; a single monitoring system following in real time a temperature and tissue deformation in the targeted zone, the monitoring system taking measurements in synchronisation with the rhythm of the electrocardiogram.

Focused ultrasound cardiac stimulation system, portable device and cardiac stimulation, and associated methods

An ultrasound cardiac stimulation system includes: a system for measuring the heart electrical activity; a system for generating a beam of focussed ultrasound signals focussed on a targeted zone, the signals being calibrated to generate electrical stimulation in a zone of the heart, the beam generation being synchronised with a first selected time of the electrocardiogram, the generation of the beam corresponding to a pulse with a duration of less than 80 ms; a system for locating the targeted zone coupled with a system for positioning the system for generating the focussed beam to control the beam of focussed ultrasound signals in the targeted zone, the location system being synchronised with the system for generating the beam of focussed signals; a single monitoring system following in real time a temperature and tissue deformation in the targeted zone, the monitoring system taking measurements in synchronisation with the rhythm of the electrocardiogram.

LIVESTOCK HEART RATE MEASUREMENT WITH BOLUS SENSOR

Various examples describe a livestock monitoring system and method. A sensor signal may comprise a rotational component describing a rotation of the sensor within an animal and a linear component describing a linear movement of the sensor within the animal. The rotational component may be used to identify an animal respiration signal. The animal respiration signal and the linear component may be used to generate a respiration-corrected linear component. An animal heart signal may be detected from the respiration-corrected linear component.

BIO-SENSOR SYSTEM FOR MONITORING TISSUE VIBRATION

A headset comprise a frame and a vibration sensor coupled to the frame. The vibration sensor may be located in a nosepad of the frame, and configured to measure tissue vibrations of a user when the headset of worn by the user. A controller receives a signal corresponding to the measured vibration data from the vibration sensor, and analyzes the received signal to infer a sequence of states of the received signal, such as a sequence of respiratory states. The controller further determines a value of a health metric based upon the inferred sequence of states, e.g., a respiratory rate of the user, and performs an action using the determined value of the health metric.

LUNG AIRWAY CLEARANCE

A system for providing treatment adapted to clear lung airways, the system including at least one pressure applicator adapted, when activated, to apply pressure at at least one specific location on a torso of a patient, and, when deactivated, to release the pressure, a sensor for sensing a signal associated with the patient, and, a controller, in communication with the sensor, adapted to analyze the signal and to control activation and deactivation of the at least one pressure applicator based, at least in part, on analyzing the signal. Related apparatus and methods are also described.

Methods and systems to determine multi-parameter managed alarm hierarchy during patient monitoring

The present specification discloses systems and methods of patient monitoring in which multiple sensors are used to detect physiological parameters and the data from those sensors are correlated to determine if an alarm should, or should not, be issued, thereby resulting in more precise alarms and fewer false alarms. Electrocardiogram readings can be combined with invasive blood pressure, non-invasive blood pressure, and/or pulse oximetry measurements to provide a more accurate picture of pulse activity and patient respiration. In addition, the monitoring system can also use an accelerometer or heart valve auscultation to further improve accuracy.

Multi sensor radio frequency detection

Radio frequency motion sensors may be configured for operation in a common vicinity so as to reduce interference. In some versions, interference may be reduced by timing and/or frequency synchronization. In some versions, a master radio frequency motion sensor may transmit a first radio frequency (RF) signal. A slave radio frequency motion sensor may determine a second radio frequency signal which minimizes interference with the first RF frequency. In some versions, interference may be reduced with additional transmission adjustments such as pulse width reduction or frequency and/or timing dithering differences. In some versions, apparatus may be configured with multiple sensors in a configuration to emit the radio frequency signals in different directions to mitigate interference between emitted pulses from the radio frequency motion sensors.

Multi sensor radio frequency detection

Radio frequency motion sensors may be configured for operation in a common vicinity so as to reduce interference. In some versions, interference may be reduced by timing and/or frequency synchronization. In some versions, a master radio frequency motion sensor may transmit a first radio frequency (RF) signal. A slave radio frequency motion sensor may determine a second radio frequency signal which minimizes interference with the first RF frequency. In some versions, interference may be reduced with additional transmission adjustments such as pulse width reduction or frequency and/or timing dithering differences. In some versions, apparatus may be configured with multiple sensors in a configuration to emit the radio frequency signals in different directions to mitigate interference between emitted pulses from the radio frequency motion sensors.

Method and apparatus for monitoring of a human or animal subject field

A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.