A conformal patch device can be provided to a patient. The patch device can include sensors configured to be positioned over a chest of a patient. The sensors can include PPG sensors, ECG sensors, and SCG sensors. The conformal patch device can adhere to a single continuous area of the chest. Some sensors may attached to a viscoelastic substrate to achieve mechanical isolation from other patch components. The conformal patch device can capture measurements from the sensor doing a time window sufficient enough to detect disordered breathing. The system can determine disordered breathing and related cardiorespiratory parameters during the time window for the patient using the sensor measurements.

An interactive exercise system includes a mechanical support system and a display module held by the mechanical support system. At least one force-controlled component is engageable by a user and connected to the mechanical support system, with the force-controlled component configure to reduce force when applied user force is great enough to cause tip-over or unwanted movement of the mechanical support system. The force-controlled component can be graspable by a user and allows for a range of exercise types and programs.

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.

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.

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.

An electronic apparatus is provided. The electronic apparatus includes an ultra-wideband (UWB) sensor, a memory storing at least one instruction, and a processor. The processor, by executing the at least one instruction, is configured to transmit a radar signal through the UWB sensor and receive a signal reflected by a user, acquire first information on the user's movement based on the reflected signal, acquire second information on the user's movement by performing a Fourier transform on the first information, acquire first feature information corresponding to the first information and second feature information corresponding to the second information by inputting the first information and the second information to a first neural network and a second neural network, respectively, acquire information on the user's sleep by inputting the first feature information and the second feature information into a third neural network, and provide information on the acquired sleep.

Disclosed is a contactless event monitoring and early detection method and system of real time monitoring of a person to predict an undesired event. The contactless event monitoring and early detection method collects data from a one or more data aggregation devices and filters the collected data in a signal processor. The contactless event monitoring and early detection method then analyzes the collected data in an event monitoring and detection processor. The event monitoring and detection processor implementing artificial intelligence algorithms to predict the probability of the occurrence of to the undesired event. Further, the event monitoring and detection processor receives a health data related to the person and selects an analytical model to be applied for prediction of the undesired event. In one embodiment, the probability of occurrence of the undesired event is associated on a threshold value. The threshold value is related to at least one early indicator associated with the person. The contactless event monitoring and early detection method then preempts the person about the onset of the undesired event by sending an alert to the person and a caretaker for remedial action.

Disclosed is a contactless event monitoring and early detection method and system of real time monitoring of a person to predict an undesired event. The contactless event monitoring and early detection method collects data from a one or more data aggregation devices and filters the collected data in a signal processor. The contactless event monitoring and early detection method then analyzes the collected data in an event monitoring and detection processor. The event monitoring and detection processor implementing artificial intelligence algorithms to predict the probability of the occurrence of to the undesired event. Further, the event monitoring and detection processor receives a health data related to the person and selects an analytical model to be applied for prediction of the undesired event. In one embodiment, the probability of occurrence of the undesired event is associated on a threshold value. The threshold value is related to at least one early indicator associated with the person. The contactless event monitoring and early detection method then preempts the person about the onset of the undesired event by sending an alert to the person and a caretaker for remedial action.

A system for treating disordered breathing of a human being includes an implantable transvenous stimulation lead having at least one stimulation electrode and a sensor configured to detect activity level of the human being. The system includes an energy source, a pulse generator and circuitry, the circuitry operative to receive a signal indicative of the activity level of the human being from the sensor, wherein the circuitry is configured to cause the energy source and the pulse generator to deliver spaced apart stimulation signals to the at least one stimulation electrode while the activity level of the human being is sufficiently low to be indicative of sleep. Spaced apart stimulation pulses from the electrode are configured to extend a duration of a time of at least one breath being defined as the time from an onset of inhalation to the onset of inhalation of a successive breath.