A method of preparing an interpositional implant suitable for a knee. The method includes determining a three-dimensional shape of a tibial surface of the knee. An implant is produced having a superior surface and an inferior surface, with the superior surface adapted to be positioned against a femoral condyle of the knee, and the inferior surface adapted to be positioned upon the tibial surface of the knee. The inferior surface conforms to the three-dimensional shape of the tibial surface. The implant may be inserted into the knee without making surgical cuts on the tibial surface. The tibial surface may include cartilage, or cartilage and bone.

According to embodiments of the present invention, a sensor patch for detecting extravasation is provided. The sensor patch includes an elastic film, and at least one sensing electrode disposed on the elastic film, wherein an electrical resistance of the at least one sensing electrode is changeable in response to a force acting on the at least one sensing electrode. According to further embodiments of the present invention, a sensing device is also provided.

According to embodiments of the present invention, a sensor patch for detecting extravasation is provided. The sensor patch includes an elastic film, and at least one sensing electrode disposed on the elastic film, wherein an electrical resistance of the at least one sensing electrode is changeable in response to a force acting on the at least one sensing electrode. According to further embodiments of the present invention, a sensing device is also provided.

Electrode array for monitoring of physiological parameters and devices including or utilizing same, the electrode array including an active electrode configured to provide an electrical signal and at least two inactive electrodes configured to collect the electrical signal transferred from the active electrode, wherein each of the at least two inactive electrodes are positioned at a different predetermined distance from the active electrode.

Example embodiments may relate to a system, method, apparatus, and computer readable media configured for prompting a user to perform an exercise, monitoring form of the user while performing the exercise, and calculating an energy expenditure estimate for the user performing the exercise based on a type of the exercise and on the form of the user.

The present invention provides a method for monitoring the actual pressure exerted by the interior wall of a biological channel at different locations along the length of said biological channel. The method comprises: i) introducing into the lumen of the biological channel a device comprising an elongated tube and at least two expandable means located at a predetermined distance on said elongated tube; ii) inflating each of the expandable means to its contact pressure (Pc); and iii) measuring the internal pressure in each expandable means, wherein when said internal pressure is greater than Pc, the actual pressure exerted by the interior wall of the biological channel is equal to the difference between said internal pressure and Pc.

A system for monitoring a health status of a person remotely from a medical facility, includes a display device to be installed in the medical facility, a wireless sensor device attachable to a leg of the person to acquire measurement information on a state of the leg of the person, and a compute server in wireless communication with the sensor device to acquire the measurement information. The compute server is configured to determine a risk of an arterial disease and a venous disease of the leg based on the acquired measurement information, and output, to the display device, information on the determined risk of the arterial disease and the venous disease of the leg.

The present disclosure relates to cardiac health assessment system for use with a handheld electronic device for assessing cardiac health of a user and a method for assessing cardiac health of a user. The disclosure further relates to systems and methods for training a machine learning model to estimate intracardiac pressure data.

Certain aspects of the present disclosure provide techniques for predicting wound management treatment resources. This includes determining characteristics of a wound for a patient based on an image of the wound, including detecting the characteristics based on analyzing the image using a first machine learning (ML) model trained to detect wound characteristics from a captured image. The techniques further include predicting at least one of: (i) treatment resources or (ii) a treatment facility for treating the wound, including providing to a second trained ML model characteristics of the wound, patient medical data for the patient, and treatment facility data describing a plurality of available treatment facilities.

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.