Methods, systems and kits are disclosed for facilitating a subject's gait and gait mechanics. Movement patterns with muscle hierarchy are also disclosed.

A method for determining a anatomical cavity pressure comprising; obtaining a pressure value comprising a pressure applied to skin of the anatomical cavity by a vessel, the vessel having a first open end and a second end, the first end arranged to contact the skin to encase a portion of the skin, and the vessel being arranged such that a pressure can be applied through the vessel to the encased portion of the skin; obtaining a skin displacement value associated with the obtained pressure value, the skin displacement value comprising a distance of the encased portion of the skin from a baseline while the pressure is being applied; determining, by the processor, a pressure of the anatomical cavity using the obtained pressure value and the obtained skin displacement value, and based on a static force balance of the vessel and the encased portion of the skin while the pressure is being applied.

The various embodiments herein disclose a method and a system with a portable handheld diagnostic device for detecting and/or monitoring the prognosis of nerve impairment or diabetic peripheral neuropathy. The system provides a multi-parameter diabetic neuropathy-screening device to perform a combination of tactile threshold test, vibration threshold test, thermal threshold test and contactless skin-temperature measurement. The present invention provides a smartphone application that helps a user to operate/control the device, store and share the results. The smartphone application interacts with the hardware modules in the device and guides the user to perform the various tests. Further, the neuropathy diagnostic system provides a wireless feedback button that enables the subject to respond to various sensations during the course of the test.

The objective of the present invention is to provide a hardness meter which estimates hardness in a stable manner regardless of a compression strength. A hardness meter includes: a movable portion which is continuously pressed against an object to be measured; a sensor which outputs an output signal reflecting a reaction force at a part of the object to be measured; a motive force mechanism that causes the movable portion to perform a piston motion; a hardness estimating portion which estimates the hardness of the object on the basis of an alternating current component of the output signal, generated by the piston motion; a position estimating portion which estimates a measurement position information by shooting with a camera; and a hardness map display portion which maps and displays the hardness on a schematic diagram of the surface of a living body based on the measurement position information.

The present invention relates to enhancing mechanical properties of tissue such as collagenous or collagen-containing or elastin-containing tissue (e.g., tendons, ligaments, and cartilage) and treating related musculoskeletal and non-musculoskeletal conditions or injuries.

A flexible circuit package. The circuit package includes a termination point on a flexible base substrate. The termination point is connected with an interface by conductive material on the base substrate. The conductive material extends across the surface area of the base substrate in multiple individual connections, which are in communication with each other and separated by voids in the conductive material for mitigating communication failure between the termination point and the interface during or following flexion, stretching, compression or other deformation of the base substrate and the circuit package. The termination point may include an input module such as a sensor, switch or other input. The termination point may include an output module such as a light, vibrator or other output. The interface may include an output interface for receiving data or an input interface for sending a command or other signal.

A method, including pressing a distal end of a medical probe against a wall of a body cavity, and receiving from the probe first measurements of a force exerted by the distal end on the wall. The method also includes receiving from the probe second measurements indicating a displacement of the wall in response to the force. The method further includes estimating a thickness of the wall based on the first and the second measurements.

This document provides methods and materials for improving the training on the use of tourniquets. For example, methods and devices for confirming the proper pressure of a tourniquet using a tourniquet training device are provided.

Non-invasive measurement of intracranial pressure (ICP), for example mean ICP. A probe adjacent the head emits energy, such as ultrasound, and receives reflected signals. A processing unit derives ICP waveform from the signals. A pressure mechanism applies external pressure intermittently to outer surface of the head and incrementally increases the external pressure. The processing unit is configured to detect a decrease in amplitude of the ICP waveform (occurring in some embodiments only after an intermediate period of ICRS compensation), the processing unit configured to determine the ICP of the person from a sum of applied external pressures from a time of the initial value A1 until a final value at which the amplitude remains stable with additional increase in applied external pressure. In some cases, the final value is earlier than that but the processing unit extrapolates the sum to when the amplitude remains stable with additional increases in pressure.

A system and method for detecting a tissue property. The system comprises a first unit positioned outside a patient body and a second unit positioned inside the patient's body. The first unit includes a first housing, and a magnetic field source supported by the first housing. The second unit includes a second housing, a pressure sensor supported by the second housing, a localization module supported by the second housing, a controller, and a power source. The pressure sensor is configured to detect an indentation force applied to the tissue, and the second unit is configured to wirelessly transmit the indentation force data and localization data to a computer to generate a volumetric stiffness map for the tissue.