Methods, systems, and storage media for determining a numerical classification of human skin color, determining one or more characteristics of skin based on images, and determining a personalized treatment plan for one or more skin conditions or issues are disclosed. The system can receive images of skin and access user profile information, such as biometric information, medical record information, and other clinically relevant information. The system can determine a classification of a skin color of the user using the image and the biometric information by providing the image and the biometric information as input to a skin color classifier. Using the skin color, the system can determine one or more characteristics of the skin in the image and, if needed, determine and provide at least one personalized treatment plan to a computing device of a user.

A Virtual Patient Care (VPC) platform establishes a video call between a patient application and a clinician application. During the video call Selfie Vitals are measured using the selfie camera on the patient's smartphone. The patient's video is paused to the clinician and sent to Artificial Intelligence (AI) engines using remote Photoplethysmography (rPPG) or Transdermal Optical Imaging (TOI) techniques to extract vital signs. Pulse, blood pressure, oxygen saturation, and respiration rate vital signs are generated and displayed on the clinician' s user interface. Audio continues while video conferencing may be paused during vitals measurement. The patient's smartphone can perform pre-processing to generate metadata that is sent to a VPC server with more powerful AI engines. Vitals measurement can be initiated by the patient selecting a Selfie Vitals icon on a patient user interface during the video conference call or can be initiated by the clinician.

Medical software tools platforms utilize a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist surgeons or surgical team in performing various procedures. In particular, an endoscopic camera may register the momentary rise in the optical signature reflected from a tissue surface and in turn transmit it to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, breathing, light source modulation, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures, physical dimensions, pressures, photoacoustic pressures and the rate of change may indicate tissue anomalies in comparison to historic values.

The invention relates to a method for measuring the human heartbeat rate, comprising the steps of: 1) obtaining a video of the measured subject; 2) parsing the video into a series of image frames; 3) arranging the multiple generated image frames in sequential order; 4) detecting the position of the region of the face in each image; 5) obtaining the facial fluctuation frequency of the measured object according to the change of the position of the face region in the image frame system.

An upper gastrointestinal bleeding monitoring system includes a detection device and a signal processing device to determine bleeding condition of an upper gastrointestinal tract by using relation of time and intensity ratios of RGB three primary colors. The detecting device is placed to the upper gastrointestinal tract of a patient via his/her mouth or nasal passage and then stay the upper gastrointestinal tract for several days for detection of bleeding. The signal processing device may receive and display signal from the detection device to help medical professionals check if bleeding occurs in an upper gastrointestinal tract. Moreover, a procedure of determination of bleeding in an upper gastrointestinal tract with the upper gastrointestinal bleeding monitoring system is described.

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. Examples include flood fill methods and skin tone filtering methods.

Systems and methods for detecting, counting and analyzing the blood content of a surgical textile are provided, utilizing an infrared or depth camera in conjunction with a color image.

Systems, devices, methods, and kits for monitoring one or more physiologic and/or physical signals from a subject are disclosed. A system including a head mounted display to monitor one or more physiologic signals from the face or head of the subject is disclosed. A method for analyzing an ocular parameter of the subject to determine a sympathetic and a parasympathetic outflow thereto is disclosed.

Skin-mounted or epidermal devices and methods for monitoring biofluids are disclosed. The devices comprise a functional substrate that is mechanically and/or thermally matched to skin to provide durable adhesion for long-term wear. The functional substrates allow for the microfluidic transport of biofluids from the skin to one or more sensors that measure and/or detect biological parameters, such as rate of biofluid production, biofluid volume, and biomarker concentration. Sensors within the devices may be mechanical, electrical or chemical, with colorimetric indicators being observable by the naked eye or with a portable electronic device (e.g., a smartphone). By monitoring changes in an individual's health state over time, the disclosed devices may provide early indications of abnormal conditions.

A method for analysing an image of a lesion on the skin of a subject including (a) identifying the lesion in the image by differentiating the lesion from the skin; (b) segmenting the image; and (c) selecting a feature of the image and comparing the selected feature to a library of predetermined parameters of the feature. The feature of the lesion belongs to any one selected from the group: colour, border, asymmetry and texture of the image.