Field Based Gait Monitoring System For the Elderly

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$100,000.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
1R43AG030815-01
Award Id:
85245
Agency Tracking Number:
AG030815
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
INTELLIGENT PROSTHETIC SYSTEMS, LLC, 2811 Lillian Rd., ANN ARBOR, MI, 48104
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
126621767
Principal Investigator:
STEVEN COLLINS
(734) 476-0707
INTELLIGENTPROSTHETICS@YAHOO.COM
Business Contact:
() -
intelligentprosthetics@yahoo.com
Research Institute:
n/a
Abstract
DESCRIPTION (provided by applicant): Convenient and objective assessment of gait is important for health management of older adults. Measuring gait function and mobility objectively can assess adherence and progress in an exercise or rehabilitation program , or track dosage and efficacy of medication. Accurate measurements can be taken in the clinic or laboratory, but field-based measurements would greatly assist health management. Unfortunately, there is little means of accurately performing real-world, lon g-term assessments in the home and at reasonable cost. Miniature sensors are rapidly improving in accuracy and power economy, offering great potential for field-based activity assessment. Simple accelerometer-based pedometers have proven highly accurate fo r step counts, and miniaturized, wireless systems such as the Nike+Ipod Sport Kit provide estimates of running speed and distance accurate enough for casual use, while remaining unobtrusive enough to wear conveniently for long durations. The requirements o f research or clinical mobility assessments, however, exceed those of current systems. Several convergent technologies make highly accurate, miniature, inertial sensor systems feasible, including multi-axis accelerometer and angular rate sensors in small c hip packages, powerful microprocessors with built-in wireless transmission capabilities, and increases in memory density. Most importantly, model-based sensor integration technology makes it possible to fuse data from multiple sensor types and minimize dri ft error. The aims of this project are to: 1. Develop a Field-Based Gait Assessment System, which will integrate information from miniature inertial sensors attached to the body and limbs, and process these data onboard to quantify walking speed, stride le ngth, step variability, and other gait variables. We will design the sensor packages mounted in shoes to transmit wirelessly to integration and processing unit mounted at the waist. 2. Test and calibrate this system on human subjects, using simultaneou s and independent laboratory-based measurements. We will use optical motion capture to assess actual gait variables using standard techniques of known accuracy. This project seeks to evaluate the gait of elderly individuals to assess fall risk, aid fall pr evention, promote exercise, diagnose disease progression, and evaluate medication. This project will develop a set of miniature, wearable, wireless sensors that can record gait activity over long periods of time (gt 1 day) with minimal interference with da ily activity.

* information listed above is at the time of submission.

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