A system for monitoring the respiratory activity of a subject, which comprises one or more signal generating elements being kinematic or light emitting elements, applied to the thorax of a subject, for generating signals that are indicative of movement of the thorax of the subject; a receiver for receiving the generated signals during breathing motion of the subject; and one or more computing devices in data communication with the receiver, for analyzing the breathing motion. The more computing device is operable to calculate, in response to the received generated signals, the magnitude of a maximum displacement in 3D space of the one or more signal generating elements during a cycle of the breathing motion; and to calculate the magnitude of a current displacement in 3D space of the one or more signal generating elements during the breathing motion with respect to a reference tidal volume associated with the maximum displacement in 3D space.

A system for monitoring the respiratory activity of a subject, which comprises one or more signal generating elements being kinematic or light emitting elements, applied to the thorax of a subject, for generating signals that are indicative of movement of the thorax of the subject; a receiver for receiving the generated signals during breathing motion of the subject; and one or more computing devices in data communication with the receiver, for analyzing the breathing motion. The more computing device is operable to calculate, in response to the received generated signals, the magnitude of a maximum displacement in 3D space of the one or more signal generating elements during a cycle of the breathing motion; and to calculate the magnitude of a current displacement in 3D space of the one or more signal generating elements during the breathing motion with respect to a reference tidal volume associated with the maximum displacement in 3D space.

A method comprising measuring skin conductivity level of a human subject responsive to a series of preliminary questions; measuring skin conductivity level of the human subject in response to a series of control questions; and in case that a sympathetic activation is detected, finding the authenticity of the response to the control question by comparing the recovery time of skin conductivity level for the control question with the basic recovery time. Further, a method comprising measuring heartbeat of a human subject responsive to a series of preliminary questions to which the answer is known, to derive a level of coherence of the heartbeat being a baseline heartbeat coherence level; presenting the human subject with a series of control questions, and finding the authenticity of a response to a relevant question by comparing the heartbeat coherence detected with the baseline heartbeat coherence and the unbalanced heartbeat coherence.

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.

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.

According to an aspect there is provided a method of assessing the severity of chronic obstructive pulmonary disease, COPD, in a subject, the method comprising determining measurements of the breathing rate of the subject, the activity level of the subject, a measure of the respiratory effort of the subject and a measure of the severity or intensity of coughing by the subject; and combining the measurements of the breathing rate, the activity level, the measure of the respiratory effort and the measure of the severity or intensity of coughing to determine a score representing the severity of COPD in the subject.

According to an aspect there is provided a method of assessing the severity of chronic obstructive pulmonary disease, COPD, in a subject, the method comprising determining measurements of the breathing rate of the subject, the activity level of the subject, a measure of the respiratory effort of the subject and a measure of the severity or intensity of coughing by the subject; and combining the measurements of the breathing rate, the activity level, the measure of the respiratory effort and the measure of the severity or intensity of coughing to determine a score representing the severity of COPD in the subject.

An ECG signal processing system which removes the CPR-induced artifact from measured ECG signals obtained during the administration of CPR.

An ultrasound cardiac stimulation system includes: a system for measuring the heart electrical activity; a system for generating a beam of focussed ultrasound signals focussed on a targeted zone, the signals being calibrated to generate electrical stimulation in a zone of the heart, the beam generation being synchronised with a first selected time of the electrocardiogram, the generation of the beam corresponding to a pulse with a duration of less than 80 ms; a system for locating the targeted zone coupled with a system for positioning the system for generating the focussed beam to control the beam of focussed ultrasound signals in the targeted zone, the location system being synchronised with the system for generating the beam of focussed signals; a single monitoring system following in real time a temperature and tissue deformation in the targeted zone, the monitoring system taking measurements in synchronisation with the rhythm of the electrocardiogram.