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Remote Activity Monitoring Quantifies Changes in Gait During Acute Inpatient Rehabilitation Andrew Dorsch, Seth Thomas, Celia Xu, William Kaiser, Bruce Dobkin UCLA Departments of Neurology and Electrical Engineering
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1.1 – Remote Activity Monitoring Quantifies Changes in Gait During Acute Inpatient Rehabilitation

Dec 05, 2014

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Wednesday, October 24, 2012
Late Breaking Research Abstract Presentations

Andrew Dorsch (University of California, Los Angeles, US), Seth Thomas (University of California, Los Angeles, US), Celia Xu (University of California, Los Angeles, US), William Kaiser (University of California, Los Angeles, US), Bruce Dobkin (University of California, Los Angeles, US)
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Page 1: 1.1 – Remote Activity Monitoring Quantifies Changes in Gait During Acute Inpatient Rehabilitation

Remote Activity Monitoring Quantifies Changes in Gait

During Acute Inpatient Rehabilitation

Andrew Dorsch, Seth Thomas, Celia Xu, William Kaiser, Bruce DobkinUCLA Departments of Neurology and Electrical Engineering

Page 2: 1.1 – Remote Activity Monitoring Quantifies Changes in Gait During Acute Inpatient Rehabilitation

Walking speed as an outcome measure

Standard gait measures are insufficient

The problem: how to monitor gait remotely?

Introduction

Page 3: 1.1 – Remote Activity Monitoring Quantifies Changes in Gait During Acute Inpatient Rehabilitation

Medical Daily Activity Wireless Network

14:29:57 14:30:01

14:30:05 14:30:09tim

e

accele

rati

on

(g

)

x-axis y-axis z-axis

Page 4: 1.1 – Remote Activity Monitoring Quantifies Changes in Gait During Acute Inpatient Rehabilitation

SIRRACTdataba

se

sensor

speed

high

low

steps

distance

study site

feedback