Methods, apparatus and systems for wireless vital sign monitoring are described. In one example, a described system comprises: a transmitter configured to transmit a wireless signal through a wireless channel of a venue; a receiver configured to receive the wireless signal through the wireless channel that is being impacted by an object motion of an object in the venue; and a processor. At least one of the transmitter or the receiver comprises an array of antennas used to transmit or receive the wireless signal. The object motion comprises at least one non-periodic body motion of the object and at least one periodic vital-sign motion of the object. The processor is configured for: segmenting space around the venue into a plurality of sectors based on a beamforming and the received wireless signal, wherein each sector of the plurality of sectors is associated with a spatial direction relative to the array of antennas, obtaining a plurality of time series of channel information (CI) of the wireless channel based on the beamforming, wherein each time series of CI (TSCI) of the plurality of TSCI is associated with a respective sector of the plurality of sectors, isolating the object motion of the object in the plurality of TSCI to generate a plurality of isolated TSCI, compensating for the at least one non-periodic body motion of the object in the plurality of isolated TSCI to generate a plurality of compensated TSCI, and monitoring the at least one periodic vital-sign motion of the object based on the plurality of compensated TSCI.

A non-invasive method and system is provided for determining an internal component of respiratory effort of a subject in a respiratory study. Both a thoracic signal (T) and an abdomen signal (A) are obtained, which are indicators of a thoracic component and an abdominal component of the respiratory effort, respectively. A first parameter of a respiratory model is determined from the obtained thoracic signal (T) and the abdomen signal (A). The first parameter is an estimated parameter of the respiratory model that is not directly measured during the study. The internal component of the respiratory effort is determined based at least on the determined first parameter of the respiratory model. The first model parameter is determined based on the thorax signal (T) and the obtained abdomen signal (A) without an invasive measurement.

The present invention provides a method of conducting a sleep analysis by collecting physiologic and kinetic data from a subject, preferably via a wireless in-home data acquisition system, while the subject attempts to sleep at home. The sleep analysis, including clinical and research sleep studies and cardiorespiratory studies, can be used in the diagnosis of sleeping disorders and other diseases or conditions with sleep signatures, such as Parkinson's, epilepsy, chronic heart failure, chronic obstructive pulmonary disorder, or other neurological, cardiac, pulmonary, or muscular disorders. The method of the present invention can also be used to determine if environmental factors at the subject's home are preventing restorative sleep.

Systems and methods for assessing a cardiac arrhythmia risk of a patient, such as a risk for developing atrial fibrillation, are disclosed. An exemplary medical-device system includes an arrhythmia predictor circuit configured to receive physiologic information of a patient, and in an absence of atrial tachyarrhythmia in the patient, determine a risk of the patient developing future atrial tachyarrhythmia using the physiologic information. In accordance with the arrhythmia risk indication, the system can generate an alert, or initiate more aggressive monitoring of a patient identified as having a high atrial tachyarrhythmia risk.

An apparatus for oxygenation and/or CO2 clearance of a patient. The apparatus comprising: a flow source or a connection for a flow source for providing a gas flow, a gas flow modulator, a controller to control the gas flow. The controller is operable to: receive input relating to heart activity and/or trachea gas flow of the patient, and control the gas flow modulator to provide a varying gas flow with at least two oscillating components. One oscillating component has a frequency based on the heart activity and/or trachea flow of the patient. One oscillating component has a frequency to: promote bulk gas flow movement, or promote mixing.

The invention relates to a respiratory motion detection apparatus (1) for detecting respiratory motion of a person. An illuminator (3) illuminates the person (2) with an illumination pattern (11), and a detector (4) detects the illumination pattern (11) on the person (2) over time. A temporal respiratory motion signal being indicative of the respiratory motion of the person (2) is determined from the detected illumination pattern by a respiratory motion signal determination unit (5). The illumination pattern deforms significantly with slight movements of the person. Thus, since the respiratory motion signal determination unit (5) is adapted to determine the temporal respiratory motion signal from the detected illumination pattern, even slight respiratory movements of the person can be determined. The sensitivity of detecting respiratory movements of a person can therefore be improved.

The present invention provides a method and a portable non-invasive sub-THz and THz (THz) radar system for remotely detecting physiological parameters of a subject, comprising: one or more transmission means for transmitting THz signals to a subject predefined tissue; one or more reception means for receiving a THz signal of the subject, the THz signals being a reflection of the THz signal from subject tissue thereby, receiving at least one physiological parameter change; and microprocessor means coupled and configured to communicate with the transmitter means and/or the reception means for receiving and processing the reflected signals. The microprocessor comprising instructions of pre-treatment and folding the reflected signals; filtering and decimating selected portions of the folded signals and removing folded segments; decomposing of the decimated signal s into sub-component signals: identifying and removing sub-component signals due to random motions; locating quasi-periodic signal information from the remaining sub-component signals thereby, determining at least one physiological parameter of the subject based upon the quasi-periodic signal information components.

A back-mounted support device provides a stable platform for various monitoring and position support devices. The support device comprises a stiffening member configured for placement along a user's spine, the stiffening member extending from a top end to be positioned between the user's shoulder blades to a bottom end to be positioned along the spine and near a waistline of the user. A shoulder attachment system is coupled to the stiffening member to stabilize an upper portion of the stiffening member. A waist attachment system is coupled to the stiffening member to stabilize a lower portion of the stiffening member. The shoulder and waist attachment systems are configured to stabilize the stiffening member along the spine, while minimizing irritating body contact. Monitoring devices may be mounted anywhere on the support device for facilitating monitoring of body parameters.

The invention is a breath sensing device comprising a sensing pad, a plurality of coverage sensing units, and a signal processor, the coverage sensing units are disposed on the sensing pad, when a user lies down on the sensing pad, a plurality of coverage signals sensed by the coverage sensing units respectively produce a periodic change according to the deformation of a curve along the body of the user while breathing, the signal processor is electrically connected to the coverage sensing units to receive the coverage signals, and the signal processor calculates to obtain duration and proportion of the user's inspiration, expiration, and pause phase and depth information of breathing from a waveform of the coverage signals based on a signal-processing algorithm.

A method of monitoring physiological conditions including an acoustic measurement device and a remote controller. The remove controller configured to measure physiological conditions; calculate absolute tidal volume, a direction of tidal volume, and a rate of change of tidal volume; correlate absolute tidal volume, a direction of tidal volume, and a rate of change of tidal volume to a risk score; calculate a direction trend and rate of change for each physiological condition; correlate the direction trend and rate of change for each physiological condition; detect predefined patterns in the direction trend and rate of change of the measured physiological condition at the predetermined interval; and generating at least one from the group consisting of an alert, an alarm, and a medical treatment if the risk score defined on the predefined scale exceeds a first predetermined risk score threshold and at least one predefined pattern is detected.