A system and method of detecting changes in an environment of an open circuit resonator configured to generate a signal when wirelessly powered by an external oscillating magnetic field, wherein the signal varies as a function of one or more environmental factors associated with the environment about the open circuit resonator. A monitoring device receives the signal from the open circuit resonator, captures data representative of the signal, compares the captured data to data previously received from the sensor to determine changes in the data, and estimates, based on the changes in the data, changes in one or more of the environmental factors.

A biometric sensor includes a body surface sensor and an e-field signal transmitter. The body surface sensor create a drive-sense signal at a first frequency based on one or more sensing parameters. When operably coupled to a body via one or more electrodes, the body surface sensor provides the drive-sense signal to the body and detects an effect on the drive-sense signal based on electrical characteristics of the body. The body surface sensor generate a data signal based on the detected effect, wherein the data signal represents the body’s electrical characteristics. The e-field signal transmitter generates an outbound signal reference at a second frequency based on the data signal and one or more transmit parameters. The e-field transmitter drives the outbound reference signal to the body, wherein the outbound reference signal is transmitted within at least a portion of the body as an outbound e-field signal at the second frequency.

A grippable haptic device includes an input device that receives a user input, a 9-axis sensor that detects movement of a hand of the user, a vibrator that provides a tactile sensation to the user, and a motion sensor that detects whether the user grips the grippable haptic device. An insole-type haptic device includes an input device that receives a user input, a plurality of 9-axis sensors that detect movement of a foot of the user, a vibrator that provides a tactile sensation to a sole of the foot of the user, and a plurality of pressure sensors that are distributed across the insole-type haptic device and measure a pressure exerted at each position of the sole of the user.

A method of monitoring a patient's foot forms a thermogram of the sole of at least one foot of the patient, and determines whether the thermogram presents at least one of a plurality of prescribed patterns. The method also compares the thermogram against a prior thermogram of the same foot, and produces output information indicating the emergence of an ulcer on a given portion on the at least one foot as a function of 1) whether the thermogram is determined to present the at least one pattern, and 2) the comparison with the prior thermogram, which shows non-ulcerated tissue at the given location.

The present invention relates to methods for analyzing gait of a subject. In particular, the present invention relates to a method for analyzing gait of a subject, said method comprising: providing data representing the 3D-movement of a foot of said subject over time; identifying within said data first data segments that each represent of at least one stride; determining one or more stride features for each of said first data segments; and defining one or more clusters on the basis of at least one stride feature of said one or more stride features. Each of the defined clusters represents a class of strides, e.g. a class may represent the typical stride of a subject. The present invention also provides for corresponding systems that are configured to perform the methods of the present invention and the use of these systems for analyzing in assessing gait of a subject, preferably a subject suffering from a movement-impairment.

An athlete wearing footwear measures jump heights with a motion sensor mounted on the footwear over toes of the athlete. By sensing vertical jump start motions the sensor detects jump start and finish times of −4 g start and −4 g landing. The sensor, a body wearable mems sensor developed by JAWKU, L.L.C., has a previously installed generic factory scale calibration factor. The athlete replaces this calibration factor with a new calibration scale factor selecting an “absolute” external reference device which measures jump height. This device measures several jump heights then inputted to an algorithm app in the sensor to calculate the new calibration scale factor customized to the actual athlete. The motion sensor has built in programming apps to periodically receive an upgraded factory scale calibration factor which upgrade is based on an ever increasing data pool of jump heights. The updated factory calibration factor is then again replaced by the athlete personally taking several new measured jumps which jump heights are in turn inputted to the sensor. The progress made in evolving jumping skills based on training and specific conditioning exercises can thus be motion sensor evaluated.

The present invention measures jump heights using an IMU sensor module slipped in a pocket of a removable side ankle mount clip placed over any low, mid or high tops ankle athletic running shoe. A micro-processor in the IMU sensor module converts analog jump height data collected with real time digital signal processing to digital data sent to specialized algorithms loaded in a RF paired smartphone to refine the digital data to accurately calculate the height of the jump. The clip has two downward spaced legs joined by a curved arch at the top with a first leg being flexible and fitting snugly against a wearer's ankle below the fibula bone with the curved arch resting over the shoe's collar. The second leg has a foot extending outwardly from the curved arch to form a pocket with a top opening to receive and snugly hold the module.

A blood pressure detection method is provided. The method comprising: obtaining wrist circumference data, wrist fat thickness data, and blood pressure data and correcting the blood pressure data based on the wrist circumference data and the wrist fat thickness data.

A detection system includes an acquisition unit, a calculation unit, a determination unit and a correction unit. The acquisition unit acquires measurement information from a load distribution sensor that detects a distribution of a load received from a sole of a subject. The calculation unit calculates a total load value of a sole region corresponding to the position of a sole of one leg of the subject, based on the measurement information. The determination unit determines an action state of the one leg based on the total load value. The correction unit starts to offset the total load value using an offset filter that decreases an offset amount with time elapse, in response to a determination that the action state is a first action state where the total load value tends to increase and is equal to or larger than a preset determination value.

A sensing portion of the tension type smart shoe unit is arranged to extend across the width of thea sole of a wearer so that foot pressure applied through the sole is exerted thereon, and a connection portion of the tension type smart shoe unit is fixed by connection to a connecting portion of a circuit block. Thus, even when the foot pressure exerted is biased to the left or right while the wearer is walking, only a portion where the pressure is biased is not sensed in contrast with a conventional case in which piezoelectric sensors are mounted, but the sensing portion is deformed, and the magnitude of an electrical output signal corresponding to the deformation is calculated using an equation of a relationship with a load. Consequently, the amount of foot pressure may be precisely measured even with a simple configuration.