A sleep apnea and obesity comorbidity treatment system includes a transceiver and a control module. The control module is configured to: receive sensor data, where the sensor data is indicative of a glucose level of a patient and a ketones level of the patient, transmit the sensor data to a remote feedback device, receive feedback information from the remote feedback device based on the sensor data, and where the feedback information provides indications to the patient to maintain or alter a behavior of the patient based on the glucose level and the ketones level, and based on the feedback information, performing an operation to maintain or alter at least one of a diet or physical activity of the patient.

Embodiments of the present disclosure provide methods, apparatuses, devices and systems for measuring vital signs in human and animals by interrogating electromagnetic signals reflected from tissues in a human or animal subject. Probes may transmit radio frequency electromagnetic waves into a living body and generate signals responsively to the waves that are scattered from within the body. Such embodiments may be suitable for wearable devices as well as for use by medical practitioners.

There is provided a method for use in monitoring a physiological characteristic of a subject, the method comprising: obtaining a general variability measure of the physiological characteristic, wherein the general variability measure is based on a historical data set of values of the physiological characteristic from a plurality of further subjects; calculating a personalization factor specific to the subject, based on physiological data relating to the subject; generating at least one personalized abnormality criterion for the physiological characteristic, based on the obtained general variability measure and the calculated personalization factor; receiving a measured value of the physiological characteristic of the subject; and determining whether the received measured value is abnormal by comparing it to the at least one personalized abnormality criterion, wherein the received measured value is determined to be abnormal if it meets the at least one personalized abnormality criterion.

Described herein are method and apparatuses (devices and systems) for determining tissue wetness, and particularly lung wetness. In particular, described herein are apparatuses including patch sensors having a plurality of electrodes one a substrate that includes alignment tabs for aiding in alignment. Also described herein are patch sensors having one or more substrate modifications to enhance local flexibility of the patch. Finally, described herein are apparatuses for determining lung wetness that determine the contour of the body region onto which the patch is applied, e.g., using a diagnostic tool to measure body contour.

Embodiments of the present disclosure provide methods, apparatuses, devices and systems for measuring vital signs in human and animals by interrogating electromagnetic signals reflected from tissues in a human or animal subject. Probes may transmit radio frequency electromagnetic waves into a living body and generate signals responsively to the waves that are scattered from within the body. Such embodiments may be suitable for wearable devices as well as for use by medical practitioners.

A method for giving a measurement of quality for impedance based respiration monitoring is disclosed. The method comprises attaching a lead to a subject, the lead being connected to a monitor, and receiving a signal from the lead, the lead being used for impedance respiration monitoring; estimating amplitude of cardiovascular artifact, CVA, derived from the signal of the lead; estimating amplitude of respiration derived from the signal of the lead; calculating a quality factor for the lead based on the estimated amplitude of CVA and the estimated amplitude of respiration; and indicating the quality factor for the lead to the user via the monitor.

Disclosed herein, among other things, are methods and apparatus related to identification of apnea type. One aspect of the present subject matter provides a method for real-time apnea discrimination. The method includes sensing an impedance-based tidal volume signal to monitor a respiratory cycle of a patient, and detecting a reduction in tidal swing using the sensed impendence to detect an apnea event. When the apnea event is detected, a shape of the sensed signal is compared to a stored signal shape to determine whether the apnea event is primarily an obstructive sleep apnea (OSA) event or primarily a central sleep apnea (CSA) event, in various embodiments.

Embodiments of the present disclosure relate to detecting implantable medical device orientation changes. In an exemplary embodiment, a medical device having a processor, comprises an acceleration sensor and memory. The acceleration sensor is configured to generate acceleration data that comprises a plurality of acceleration measurements. The memory comprises instructions that when executed by the processor, cause the processor to: obtain the acceleration data from the acceleration sensor; and determine, based on the acceleration data, that the medical device has flipped.

An actigraphy method includes receiving a physiological parameter signal as a function of time for a physiological parameter other than body motion (such as electrocardiography or a respiration monitor), computing a body motion artifact (BMA) signal as a function of time from the physiological parameter signal (for example, using a local signal power signal, a local variance signal, a short-time Fourier transform, or a wavelet transform over epochs of duration on order a few minutes or less), and computing an actigraphy signal as a function of time from the BMA signal, for example by applying a linear transform to the BMA signal and optionally applying filtering such as median removal and/or high-pass filtering.

The invention provides a multi-sensor system that uses an algorithm based on adaptive filtering to monitor a patient's respiratory rate. The system features a first sensor which is selected from the group consisting of an impedance pneumography sensor, an ECG sensor, a PPG sensor, and a motion sensor (e.g., an accelerometer) configured to attach to the patient's torso and measure therefrom a motion signal. The system further comprises (iii) a processing system, configured to operably connect to the first and motion sensors, and to determine a respiration rate value by applying filter parameters obtained from the first sensor signals to the motion sensor signals.