In one embodiment, an ablation system includes a catheter including at least one electrode, and configured to be inserted into a chamber of a heart of a living subject, an ablation power generator configured to apply an electrical signal to the at least one electrode to ablate tissue of the chamber, at least one body surface patch configured to be applied to a body surface of the living subject, and provide at least one position signal, and a processor configured to compute an index of a measurement of diaphragm movement responsively to the at least one position signal, and perform an action responsively to the computed index.

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine whether the R-wave is noisy. Based on the R-wave being noisy, the processing circuitry is configured to determine whether the cardiac signal around a determined T-wave is noisy. Based on the cardiac signal around the determined T-wave not being noisy, the processing circuitry is configured to determine a QT interval or a corrected QT interval based on the determined T-wave and the determined R-wave.

A method for monitoring a patient in a bed using a camera. The method includes identifying a boundary of the bed using data from the camera, identifying parts of the patient using data from the camera, and determining an orientation of the patient using the parts identified for the patient. The method further includes monitoring movement of the patient using the parts identified for the patient and computing a departure score indicating the likelihood of the patient departing the bed based on the orientation of the patient and the movement of the patient. The method further includes comparing the departure score to a predetermined threshold and generating a notification when the departure score exceeds the predetermined threshold.

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine a previous RR interval of the cardiac signal and a current RR interval of the cardiac signal based on the determined R-wave. The processing circuitry is further configured to determine a search window based on one or more of the current RR interval or the previous RR interval, determine a T-wave of the cardiac signal in the search window, and determine a QT interval based on the determined T-wave and the determined R-wave.

A system for detecting presence of coronavirus in a subject, the system including a first pad for placing a first hand, the pad including a contact to measure conductance of the subject's body, a conductance meter connected to the contact, a second pad for placing a second hand, a source of electromagnetic radiation for irradiating the second pad. A system for detecting presence of coronavirus in a subject, the system including a chip with a plurality of wires disposed on or in the chip, a conductance meter arranged to measure conductance between the wires, and biological material associated with the coronavirus disposed on or in the chip. Related apparatus and methods are also described.

Disclosed are a multiple physiological data collection device and system that collect, manually mark, sampling—physiological data for machine learning and AI analyses in a single operation background. Physiological data uploaded by sensing devices of different type and function, described in different formation, recorded at different times and/or pertaining to different person can be processed in one system. The invented system comprises a data uploading device, a data storage device and a data edition device and, optionally, an automated data analysis device.

Allergen exposure chambers (AECs) can be used to produce controlled exposure to allergenic and non-allergenic airborne particles but at present cannot be used for double-blind, placebo-controlled, randomized clinical trials currently required by regulatory authorities. Accordingly, inventive naturalistic exposure chambers (NECs) designed to mimic the environment(s) within which a typical user/individual is exposed are outlined. Further, reproducible controlled allergen dispersal is achieved via robotic allergen aerosolization systems (AAS) which provide automated movement of the allergen source within the AEC as well as structure for acquiring and/or aerosolizing—distributing the allergen. Robotic AAS can be used to acquire only, distribute only, or acquire and distribute. Robotic AAS may also provide aerosolization of two or more allergens in defined manner.

A monitoring system for monitoring a biological subject including a monitoring device having a housing configured to be attached to or supported by an ear of the subject in use, one or more sensors, the one or more sensors including a photoplethysmogram (PPG) sensor provided in the housing and configured to measure attributes of blood flow within the ear, and a monitoring device processor configured to acquire sensors signals from the one or more sensors and generate sensor data at least partially in accordance with signals from the one or more sensors. A transmitter is provided that transmit the sensor data with one or more processing systems receiving the sensor data, analyzing the sensor data and generating a health state indicator indicative of a health state of the subject.

A method includes receiving a plurality of data points including electrical activation (EA) values measured at respective positions in at least a portion of a surface of a cardiac chamber of a heart of a patient. Using a predefined EA value criterion, the EA values in a given region of the cardiac surface are classified into multiple distinct EA wave-fronts, and multiple layers of EA values are calculated for the given region, wherein each EA layer includes the EA values found to belong to a respective and contiguous EA wave-front. The multiple EA layers are overlayed on a graphical representation of the surface. The graphical representation with the multiple overlaid EA layers is displayed to a user, with a graphical indication distinguishing between the multiple EA layers.

A hydraulic stabilizer system for a portable medical imaging system. The system includes at least two hydraulic cylinders each having a shaft extending through a first wall of the respective cylinder, wherein each shaft is moveable relative to the respective cylinder. First and second ends of each shaft include a spring support element and a foot for contacting associated uneven floor portions. A retraction spring is located between the spring support element and an inner surface of the first wall of each cylinder. The system also includes a hydraulic circuit for supplying hydraulic fluid to the cylinders, wherein the cylinders are in fluid communication with each other. Hydraulic fluid is pumped into the cylinders to cause downward movement of the shafts until the feet contact the associated uneven floor portions such that the pressure exerted by the feet against the associated uneven floor portions is equalized.