In one embodiment, a medical system includes a catheter configured to be inserted into a chamber of a heart of a living subject, and including a distal end including catheter electrodes configured to contact tissue at respective locations within the chamber of the heart, at least one position sensor configured to provide at least one position signal indicative of a position of the distal end, a display, and processing circuitry configured to compute the position of the distal end of the catheter responsively to the at least one position signal, render to the display a 3D anatomical map of the chamber of the heart and a 3D representation of the distal end of the catheter, and render to the display over at least part of the map, at least one intracardiac electrogram trace representing electrical activity in the tissue that is sensed by at least one of the catheter electrodes.

An apparatus comprises at least one processing device comprising a processor coupled to a memory. The at least one processing device is configured to select physiologic data to be visualized, the selected physiologic data comprising a given set of one or more physiologic parameters collected from a given set of one or more subjects over a given period of time. The at least one processing device is also configured to determine a plot type for visualization of the selected physiologic data, the plot type being determined based at least in part on a repetitiveness of the selected physiologic data over a plurality of time segments in the given period of time. The at least one processing device is further configured to generate a visualization of the selected physiologic data utilizing the determined plot type, and to output the generated visualization of the selected physiologic data via an interactive graphical user interface.

When it comes to monitoring human health, today's consumers are limited to so called “health trackers,” which count steps and calculate calorie burns. Traditional health trackers are only capable of measuring heart rate and are limited to external measurements. These devices are not capable of obtaining the internal body data and do not have access to human fluids. The personal health shield personal cloud case cover (or “health PCCC”) can not only analyze human fluids but also fluids being consumed by the user (food and drinks). The data collected from the fluids is then compared to a cloud or local data base. The results are displayed on a phone, tablet, personal computers, television, or any other device either mounted in the PCCC or connected to the health PCCC.

Systems, methods, apparatus, and non-transitory computer readable media for measuring and analyzing galvanic skin response. A system for measuring galvanic skin response includes an electrical conductivity meter (ECM) electrically connected to a positive electrode and a negative electrode and a server platform in network communication with the ECM. The ECM includes at least one processor and at least one memory. The positive electrode is in contact with a point on a hand or a foot of a subject. A circuit is created between the ECM and the subject including the positive electrode and the negative electrode. The positive electrode includes a pressure sensor to indicate an amount of pressure applied by a tip of the positive electrode on the point. The server platform includes artificial intelligence (AI) algorithms to detect variations in the pressure applied by the positive electrode during a session and/or across multiple sessions.

The invention provides a system and method for determining a respiratory effort for a subject. The method comprises obtaining a relaxed signal representing the subject breathing in a relaxed manner and a forced signal representing the subject breathing in a forced manner. A plurality of forced peaks is derived from the forced signal and candidate peaks are selected from the plurality of forced peaks. The candidate peaks are selected based on features of the forced peaks. A user selects a user identified peak from the candidate peaks and thus, a respiratory effort is determined based on the relaxed signal and the user identified peak.

An infection sensing system for determining whether a human or animal user has one of a plurality of infection conditions in response to a sensed condition of the user. The system includes a remote temperature measuring subsystem comprising a first, imaging sensor to capture a first image of a body part, a thermal imaging camera to capture a thermal image of the body part, and an image rocessor to process the first image to identify when the body part is present in a field of view of the thermal imaging camera. The system is also configured to determine one or more biomarker values for one or more further characteristics of the human or animal user. machine learning classifier processes the body temperature and further characteristic(s) to identify one of the infection conditions.

A method includes displaying a position of a distal end of a medical probe that is being navigated in an organ of a patient on a three-dimensional (3D) map of the organ. In response to an event, a plane of interest including the distal end is selected, a real-time Magnetic Resonance Imaging (MRI) slice of the organ is acquired at the selected plane, and the MRI slice is displayed overlaid on the 3D map.

The present invention relates to the field of medical monitoring, and in particular non-contact, video-based monitoring of pulse rate, respiration rate, motion, and oxygen saturation. Systems and methods are described for capturing images of a patient, producing intensity signals from the images, filtering those signals to focus on a physiologic component, and measuring a vital sign from the filtered signals.

Disclosed herein is a sunscreen detector for use with portable device, such as a mobile and/or wearable device. One variation of a sunscreen detector comprises an illumination system that is configured to illuminate a target skin area with ultraviolet and/or infrared spectrum light and a sensor system that is configured to detect the amount of ultraviolet and/or infrared spectrum light that is reflected from the target skin area. The sunscreen detector is configured to analyze the data collected by the sensor system to generate a notification to the user as to whether they should apply sunscreen.

Haemodynamic parameters such as the amplitude and phase of a pulse wave passing through a region of interest can be obtained from a video image of the exposed skin of a patient by processing of the reflectance photoplethysmographic signal using signal averaging. The region of interest is defined and a reflectance photoplethysmographic signal obtained by finding the mean pixel intensity across the region of interest for each video frame. Signal averaging is performed on the resulting pulsatile waveform by detecting peaks in the waveform, selecting those parts of the waveform which lie within a window centred on the peaks, and summing the selected parts of the waveform to find an average pulse waveform. The region of interest is then divided into sub-regions and an average pulse waveform for the video sequence is found for each of the sub-regions in the same way. The amplitudes of the average pulse waveforms for the sub-regions can be measured and displayed, for example as a spatial map across the region of interest. The phase of the average pulse waveforms in the sub-regions in the sub-regions relative to the average pulse waveform for the whole region of interest can be measured and displayed, again as a spatial map. The phase and amplitude maps give an indication of the quality of perfusion across the region of interest.