University of California

Medisens Wireless, Inc.

Wenyao Xu

Majid Sarrafzadeh

Ming-Chun Huang

Behrooz Yadegar

Nitin Raut

William J Kaiser

Hyduke Noshadi

Mars Lan

Jonathan S Woodbridge

Shaun S Ahmadian

Hagop Hagopian

Navid Amini

Jason J Liu

A fabric-based pressure sensor array includes: (1) a first layer including M elongated conductive strips coated thereon; (2) a second layer including N elongated conductive strips coated thereon, the M elongated conductive strips extending crosswise relative to the N elongated conductive strips to define M&#xd7;N intersections; and (3) a unitary textile sheet extending between the first layer and the second layer so as to overlap the M&#xd7;N intersections, the textile sheet having a variable resistivity in response to applied pressure so as to define M&#xd7;N pressure sensors at locations corresponding to the M&#xd7;N intersections.

Fabric-based pressure sensor arrays including intersecting elongated conductive strips on opposite sides of a textile sheet

A system includes a pressure sensitive material that provides an indication of applied pressure for multiple locations on the material, and an analysis device in communication with the pressure sensitive material. The analysis device receives the indication of applied pressure, determines, for each of multiple measurement periods, a pressure image from the indication of applied pressure such that a sequence of pressure images is determined, and constructs a manifold representing the sequence of pressure images.

On-bed monitoring system for range of motion exercises with a pressure sensitive bed sheet

Fabric-based pressure sensor arrays and methods for data analysis

A method for determining the motive instability of an individual using foot pressure, foot speed and foot direction data collected from sensors on shoes. The sensed data is used to determine the minimum number and the placement of pressure sensors in the shoe. The data from the sensors is processed to extract spatial and temporal parameters as desired. The data is grouped into segments based on a segmentation rule. The trend in each segment is determined. The variability of the trend in each segment is determined. The risk of fall is computed on the basis of the trend and variance. The computation is adjustable by emphasizing certain parameters in order to tailor the instability assessment to a specific individual.

Method of assessing human fall risk using mobile systems

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Los Angeles, CA, United States of America

Wenyao Xu