Embodiments of the present invention provide reliable, convenient, and cost-effective methods and apparatuses to determine the hemodynamic status of the patent. The methods and apparatuses provide for the noninvasive determine of hemodynamic status by using systematic perturbations of venous return or trend observation over time. Embodiments do not require invasive pressure monitoring or the use of ventilator but instead can be an entirely noninvasive system.

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.

An input device includes two conductors that are sewn onto a fiber sheet and an output unit configured to determine an impedance variation in a predetermined area on the basis of a voltage value between the two conductors to which a high-frequency current is applied.

An input device includes two conductors that are sewn onto a fiber sheet and an output unit configured to determine an impedance variation in a predetermined area on the basis of a voltage value between the two conductors to which a high-frequency current is applied.

A system for obtaining and providing enhanced PAP metrics of a patient's sleep period includes: a pressure support device for use in providing a flow of breathing gas to the patient; a processing unit; and a number of auxiliary devices in wireless communication with the processing unit. Each auxiliary device of the number of auxiliary devices is structured to detect and collect sleep-related data of the patient. The processing unit is programmed to: receive data obtained by a number of sensors of the pressure support device during operation of the pressure support device in providing the flow of breathing gas to the patient; receive supplemental data obtained by the number of auxiliary devices while the pressure support device is not providing the flow of breathing gas to the patient; and determine the enhanced PAP metrics of the sleep period of the patient utilizing the data and the supplemental data.

A wearable respiration monitoring system having a transmitter coil that is adapted to generate and transmit multi-frequency AC magnetic fields, a receiver coil adapted to detect variable strengths in one of the AC magnetic fields and generate AC magnetic field strength signals representing anatomical displacements of a monitored subject, and at least one accelerometer that is configured to detect and monitor anatomical positions and movement of the subject, and generate and transmit accelerometer signals representing same. The wearable monitoring system further includes an electronics module that is adapted to receive the AC magnetic field strength signals and accelerometer signals, and determine at least one respiratory disorder as a function of the AC magnetic field strength signals and at least one anatomical position of the subject as a function of the accelerometer signals.

A patient monitoring device includes a signal transmission device configured to direct a signal transmission toward a target area and to receive reflected signals from the target area, and a signal analysis device having a processing device and at least one non-transitory computer readable data storage device storing instructions, that when executed by the processing device, cause the patient monitoring device to transmit signals, receive reflected signals, and determine a non-contact vital sign measurement based on data from the reflected signals.

A method for determining one or more vital signs of a person includes recording video images of a scene with an egocentric camera coupled to the person's body, detecting and magnifying image frame-to-image frame movements in the video images of the scene, representing the magnified image frame-to-image frame movements in the video images of the scene by a one-dimensional (1D) amplitude-versus-time series, and transforming the 1D amplitude-versus-time series representation into a frequency spectrum. The method further includes identifying one or more local frequency maxima in the frequency spectrum as corresponding to one or more vital signs of the person.

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing optimized breathing therapy. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform optimized breathing therapy using at least one of interruption score generation machine learning models, observed inspiration-expiration pattern, expected inspiration-expiration patterns, expected musical patterns, and inferred musical patterns.

A portable circulatory shock detecting device is disclosed. In a measurement device, a body surface vibration data of a subject is sensed by a vibration-sensing module and transmitted to an electronic device by a communication interface. A heartbeat acquisition process is executed to obtain a heartbeat vibration data of the subject by a monitoring module of the electronic device, a circulatory shock detection process is executed to generate a heartbeat evaluation based on the heartbeat vibration data, and a circulatory shock alarm is outputted while the heartbeat evaluation is assessed as a circulatory shock risk.