There is disclosed a system and method for measuring arterial and venous blood pulse waveforms (BPWs) of a subject utilizing photoplethysmography (PPG). In an embodiment, the system and method comprises: providing a plurality of virtual sensors positioned to cover a desired field-of-view of the subject, each virtual sensor adapted to detect and measure a BPW signal from an area of the subject's body and provide a BPW signal output; processing the BPW signal outputs of the plurality of virtual sensors to compare the BPWs at multiple areas of the subject's body to perform spatial perfusion analysis; and displaying at least one aggregate output based on the spatial perfusion analysis. At least one aggregate output may include a visualization of one or more perfusion patterns overlaid on a photographic image of the subject, and aggregate statistics including subject heart rate and breathing rate. The system and method may use a signal from one of the virtual sensors as a reference waveform for cardiovascular monitoring in the generation of parametric maps for assessing BPW characteristics at various parts of the body simultaneously. The system and method may also include a contact photoplethysmography (PPG) sensor, which is connected to the DSP and provides a BPW as a reference waveform for improved cardiovascular monitoring in the generation of parametric maps for assessing BPW characteristics at various parts of the body simultaneously.

Described herein are methods for determining a target musculoskeletal activity cycle (MSKC) to cardiac cycle (CC) timing relationship. The method may include detecting a signal responsive to a cyclically-varying arterial blood flow at a location on a head of a user; providing a recurrent prompt at a frequency of the heart pump cycle using the signal, such that the signal correlates with a magnitude of blood flow adjacent to the location, and the recurrent prompt is provided to guide the user to time performance of a component of a rhythmic musculoskeletal activity with the recurrent prompt; and guiding the user to adjust a timing of the component of the rhythmic musculoskeletal activity to substantially maximize a magnitude of the signal. In some embodiments, the method further includes generating the recurrent prompt by amplifying the sound generated by the blood flow in or in proximity to an ear of the user.

A cardiopulmonary resuscitation, CPR, device (100, 200, 400) for delivering intrathoracic pressure pulses to a subject (290), the device comprising an air pressure generator (110, 310, 410) for delivering air to the airways of the subject (290), wherein the air pressure generator (110, 310, 410) is configured to: operate a first mode, wherein in the first mode the air pressure generator (110, 310, 410) generates a first output (412, 770a, 770b) comprising a first plurality of positive pressure pulses (771) for temporally increasing the subject's intrathoracic pressure to induce compressions of the heart of the subject (290) by increasing the volume of the subject's lungs; operate a second mode, wherein in the second mode the air pressure generator (110, 310, 410) generates a second output (414, 880) comprising a second plurality of positive pressure pulses for providing an assured airflow to the lungs of the subject (290); and deliver a resulting output (425, 986, 1086) to the airways of the subject (290), the resulting output being the superposition of the first output (412, 770a, 770b) and of the second output (414, 880); wherein said first plurality of positive pressure pulses (771) have an amplitude greater than 30 mbar and a frequency in a range of 40-240 beats per minute; and wherein said second plurality of positive pressure pulses have an amplitude smaller than 30 mbar and a frequency in a range of 3 to 20 cycles per minute.

Various embodiments of systems, devices, components, and methods for providing external therapeutic vibration stimulation to a patient are disclosed and described. Therapeutic vibration stimulation is provided to at least one location on a patient's skin, or through clothing or a layer disposed next to the patient's skin, and is configured to trigger or induce resonance or high amplitude oscillations in a cardiovascular system of the patient. Inducing such resonance can aid in training autonomic reflexes and improve their functioning.

A sleep assist system to monitor and assist the user's sleep, comprising a bedside device positioned near the user's bed, the bedside device comprising a loudspeaker and a light source and optionally a microphone, a light sensor, a temperature sensor, a control unit, an air quality sensor, a display unit, a user interface. The sleep assist system further comprises a first sensing unit positioned in the user's bed and comprising one or more sensors adapted to sense at least pressure and/or changes in pressure exerted by the user lying in the bed. The system monitors the user's sleep, assesses the user's sleep cycles and the phase of sleep cycle, and provides the user with at least one light and sound program, the light and sound program being based on the assessment of the user's sleep cycles and the phase of sleep cycle.

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, treatment plans for optimizing a user outcome. The method comprises receiving attribute data associated with a user. The attribute data comprises one or more symptoms associated with the user. The method also comprises, while the user uses a treatment apparatus to perform a first treatment plan for the user, receiving measurement data associated with the user. The method further comprises generating, by the artificial intelligence engine configured to use one or more machine learning models, a second treatment plan for the user. The generating is based on at least the attribute data associated with the user and the measurement data associated with the user. The second treatment plan comprises a description of one or more predicted disease states of the user. The method also comprises transmitting, to a computing device, the second treatment plan for the user.

A computer-implemented system may include an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and a processing device configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac condition or a cardiac outcome, generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability of a cardiac intervention for the user, and transmit the treatment plan to cause the electromechanical machine to implement the one or more exercises.

A system includes a treatment apparatus configured to implement a treatment plan for rehabilitation to be performed by a user and a processing device configured to receive attribute data associated with the user; generate, based on the rehabilitation, selected attribute data; determine, based on the selected attribute data, the rehabilitation, and a rehabilitation goal associated with the rehabilitation, one or more probabilities of attaining the rehabilitation goal within respective one or more numbers of rehabilitation sessions to be performed by the user using the treatment apparatus; provide, based on the one or more probabilities, an indication of the one or more numbers of rehabilitation sessions; and generate, based on a selected number of rehabilitation sessions from among the one or more numbers of rehabilitation sessions, the treatment plan. The treatment plan includes one or more exercises directed to attaining the rehabilitation goal within the selected number of rehabilitation sessions.

In one embodiment, a computer-implemented system includes an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan. The treatment plan includes a high-intensity interval training (HIIT) session. A processing device is configured to initiate, using the electromechanical machine, the HIIT session, receive, via one or more sensors, one or more measurements pertaining to the electromechanical machine, determine whether the one or more measurements exceed one or more of one or more corresponding thresholds, and in response to determining that the one or more measurements exceed one or more of the one or more corresponding thresholds, modify the treatment plan to cause operation of the electromechanical machine to be modified.

Described herein are methods for determining a target musculoskeletal activity cycle (MSKC) to cardiac cycle (CC) timing relationship. The method may include detecting a signal responsive to a cyclically-varying arterial blood flow at a location on a head of a user; providing a recurrent prompt at a frequency of the heart pump cycle using the signal, such that the signal correlates with a magnitude of blood flow adjacent to the location, and the recurrent prompt is provided to guide the user to time performance of a component of a rhythmic musculoskeletal activity with the recurrent prompt; and guiding the user to adjust a timing of the component of the rhythmic musculoskeletal activity to substantially maximize a magnitude of the signal. In some embodiments, the method further includes generating the recurrent prompt by amplifying the sound generated by the blood flow in or in proximity to an ear of the user.