Methods and systems are provided for monitoring respiration of an individual. A first radiofrequency (“RF”) sensing signal is provided within a near-field coupling range of a respiratory motion to be measured to generate a respiratory measurement signal as the first RF sensing signal modulated by the respiratory motion. A respiratory measurement signal is detected. The respiratory motion is measured based on the respiratory measurement signal. A respiratory event is detected using the measured respiratory motion. In some embodiments, the method further includes predicting a respiratory event of the individual using a machine learning classifier. The machine learning classifier may be trained using one or more respiratory features and/or one or more blood oxygen features.

Methods and systems are provided for monitoring respiration of an individual. A first radiofrequency (“RF”) sensing signal is provided within a near-field coupling range of a respiratory motion to be measured to generate a respiratory measurement signal as the first RF sensing signal modulated by the respiratory motion. A respiratory measurement signal is detected. The respiratory motion is measured based on the respiratory measurement signal. A respiratory event is detected using the measured respiratory motion. In some embodiments, the method further includes predicting a respiratory event of the individual using a machine learning classifier. The machine learning classifier may be trained using one or more respiratory features and/or one or more blood oxygen features.

The present technology relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient. In some embodiments, the systems, methods, and/or computer readable media can identify steep changes in depths. For example, the systems, methods, and/or computer readable media can identify large, inaccurate changes in depths that can occur at edge regions of a patient. In these and other embodiments, the systems, methods, and/or computer readable media can adjust the identified steep changes in depth before determining one or more patient respiratory parameters.

The present technology relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient. In some embodiments, the systems, methods, and/or computer readable media can identify steep changes in depths. For example, the systems, methods, and/or computer readable media can identify large, inaccurate changes in depths that can occur at edge regions of a patient. In these and other embodiments, the systems, methods, and/or computer readable media can adjust the identified steep changes in depth before determining one or more patient respiratory parameters.

A device for scoring sleep quality includes a scoring function generation unit configured to generate distribution model for at least one of components of polysomnography based on polysomnography result information about polysomnography testees and generate scoring function for the distribution model, a transceiver configured to transmit a radar signal toward a subject and receive the radar signal reflected from the subject, an information derivation unit configured to derive sleep time information about the subject and event occurrence information for a plurality of sleep items based on the radar signal, a component score calculation unit configured to calculate score for the at least one of components by applying the sleep time information and the event occurrence information to the scoring function, and a sleep quality calculation unit configured to calculate a sleep quality score of the subject based on the calculated score for the at least one of components.

A device for determination of a sleep event using a radar includes a transceiver configured to transmit a radar signal toward a subject and receives the radar signal reflected from the subject; an average breathing signal derivation unit configured to derive an average breathing signal of the subject based on the radar signal; a breathing feature information generation unit configured to compare the radar signal with the average breathing signal and generate breathing feature information of the subject; a prediction information derivation unit configured to derive event occurrence prediction information for a plurality of sleep items based on the breathing feature information; and a sleep event determination unit configured to determine whether a sleep event has occurred in the subject based on the event occurrence prediction information.

Methods, apparatus and systems for radio-based sleep tracking are described. In one example, a described system comprises: a transmitter configured to transmit a first wireless signal through a wireless multipath channel in a venue; a receiver configured to receive a second wireless signal through the wireless multipath channel, wherein the second wireless signal differs from the first wireless signal due to the wireless multipath channel which is impacted by a sleeping motion of an object in the venue; and a processor. The processor is configured for: obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal, wherein each channel information (CI) of the TSCI comprises N1 components, wherein N1 is a positive integer larger than one, computing N1 component-wise analytics each associated with one of the N1 components of the TSCI, identifying N2 largest component-wise analytics among the N1 component-wise analytics, wherein N2 is a positive integer less than N1, computing at least one first motion statistics based on the N2 largest component-wise analytics of the TSCI, and monitoring the sleeping motion of the object based on the at least one first motion statistics.

Systems and methods for assessing compliance with position therapy. In an embodiment, position therapy is provided to a user while the user is wearing a position therapy device. The position therapy comprises, by the device, collecting positional data, determining positions of the user over a time period based on the positional data, and, when it is determined that the user is in a target position, providing feedback to the user to influence the user to change to a non-target position. In addition, the device stores a duration of use in its memory. The duration of use indicates a duration that the user has used the wearable position therapy device in each of one or more positions. An assessment of the user's compliance with the position therapy is then provided based, at least in part, on the duration of use.

An implantable system, and methodology, for improving a heart's hemodynamic performance featuring (a) bimodal electrodes placeable on the diaphragm, out of contact with the heart, possessing one mode for sensing cardiac electrical activity, and another for applying cardiac-cycle-synchronized, asymptomatic electrical stimulation to the diaphragm to trigger biphasic, diaphragmatic motion, (b) an accelerometer adjacent the electrodes for sensing both heart sounds, and stimulation-induced diaphragmatic motion, and (c) circuit structure, connected both to the electrodes and the accelerometer, operable, in predetermined timed relationships to the presences of valid V-events noted in one of sensed electrical and sensed mechanical, cardiac activity, to deliver diaphragmatic stimulation. The circuit structure includes accelerometer-linked computer structure for enabling selective review, for later operational modifications, of stimulation-produced diaphragmatic motions, and in a modified form, may additionally include timing-adjustment substructure capable of making adjustments in the mentioned timed relationships.

An implantable system, and methodology, for improving a heart's hemodynamic performance featuring (a) bimodal electrodes placeable on the diaphragm, out of contact with the heart, possessing one mode for sensing cardiac electrical activity, and another for applying cardiac-cycle-synchronized, asymptomatic electrical stimulation to the diaphragm to trigger biphasic, diaphragmatic motion, (b) an accelerometer adjacent the electrodes for sensing both heart sounds, and stimulation-induced diaphragmatic motion, and (c) circuit structure, connected both to the electrodes and the accelerometer, operable, in predetermined timed relationships to the presences of valid V-events noted in one of sensed electrical and sensed mechanical, cardiac activity, to deliver diaphragmatic stimulation. The circuit structure includes accelerometer-linked computer structure for enabling selective review, for later operational modifications, of stimulation-produced diaphragmatic motions, and in a modified form, may additionally include timing-adjustment substructure capable of making adjustments in the mentioned timed relationships.