Orpyx Medical Technologies, Inc.

Michael Todd Purdy

Travis Michael Stevens

David Allan Viberg

Julia Breanne Everett

Chun Hing Cheng

Dale Barry Yee

Paul James Garrity

Kogan Lee

Kraig Elbert Nielsen

Neil Luke Maurette

Marcel Groenland

A high-resistance sensor. The sensor includes a first low-resistance material and a second low-resistance material, each connected with a base material. The first low-resistance material and the second low-resistance material are separated by a gap. A stimulus causes the first low-resistance material and the second low-resistance to move toward each other. A high-resistance material is positioned within the gap intermediate the first low-resistance material and the second low-resistance material. The high-resistance material increases the resistance of a circuit formed by contact between the first low-resistance material and the second low-resistance material when the sensor is subject to the stimulus.

High-resistance sensor and method for using same

A method and system for activity classification. A pressure sensor receives input data resulting from physical activity of a subject performing an activity. The input data includes pressure data from at least one pressure sensor, and may include other data acquired through other types of sensors. A deep learning neural network is applied to the input data for identifying the activity. The neural network is trained with reference to training data from a training database. The training data may include empirical data from a database of previous data of corresponding activities, synthesized data prepared from the empirical data or simulated data. The training data may include data from physical activity of the subject being monitored by the system. Different aspects of the neural network may be trained with reference to the training data, and some aspects may be locked or opened depending on the application and the circumstances.

Method and system for activity classification

A method of manufacturing an insert system for footwear includes assembling electronic components. The electronic components include a sensor array having physiological sensors. Each physiological sensor includes a first high resistance layer configured to be in contact with a second high resistance layer when no force is applied to the sensor. The method further includes positioning the sensor array between a first layer and a base layer. An insert system for footwear includes a first layer, a base layer, a sensor array between the first and base layers, and a circuit board. The sensor array includes physiological sensors. Each physiological sensor includes a first high resistance layer in contact with a second high resistance layer when no force is applied to the sensor. The circuit board can transmit signals external to the system to trigger an alert being issued to a user, based on an output of the sensor array.

Physiological sensor footwear insert system and method of manufacture

A footwear system includes a sensorized insole and a charger. The sensorized insole has an insole bulk having a foot-facing upper surface. A sensor is embedded in the insole bulk for measuring a parameter of a user's foot, a battery is embedded in the insole bulk for providing energy to the sensor, and a receiver pod is embedded in the insole bulk and is spaced from the foot-facing upper surface for wirelessly receiving energy and providing energy to the battery. The charger provides energy to the receiver pod, and includes a cable for connecting to an energy source, and a transmitter pod electrically connected to the cable for receiving energy from the cable and wirelessly transmitting energy to the receiver pod. The transmitter pod is positionable against the foot-facing upper surface to wirelessly provide energy to the receiver pod through the insole bulk.

Wireless charging assemblies for sensorized insoles, methods for charging sensorized insoles, and footwear systems including sensorized insoles

A system and method for measuring resistance over an array. The array includes at least three electrodes. Nodes at each intersection between input electrodes and output electrodes have variable resistance. A driving voltage is applied to a selected input electrode and an output current is received at a selected output electrode. A selected node is at the intersection of the two selected electrodes and includes an electrical component with a resistive property. Remaining electrodes are connected with a ground for isolating the selected node from the effects of changes in impedance of the remaining nodes. The driving voltage is converted to an output current by resistance at the selected node. The output current is converted to an output voltage with a current-to-voltage converter circuit for measuring the resistance of the electrical component. The nodes may be measured as the selected node in sequential or non-sequential patterns.

Resistance measurement array

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.

Flexible circuit package

A method and system for heterogeneous event detection. Sensor data is obtained and divided into discrete data windows. Each data window is defined by and corresponds to a time period of the sensor data. A time-frequency representation over the time period is calculated for each data window. A filter mask is calculated based on the data window corresponding to the time-frequency representation. The filter mask is applied for reverting the time-frequency representation to a time representation, resulting in filtered data. Features, such as extrema or other inflection points, are identified in the filtered data. The features define events, and transforming the time-frequency representation back into the time domain emphasizes differences between more and less prominent frequencies, facilitating identification of heterogeneous events. The method and system may be applied to body movements of people or animals, automaton movement, audio signals, light intensity, or any suitable time-dependent variable.

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Calgary, Canada

Michael Todd Purdy