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Herman J. Woltring
05-12-1991, 09:45 PM
Dear Colleagues,

Last week, I have been browsing by ftp in the ai-medicine database at the US
National Library of Medicine at NIH in Bethesda, MD, USA (ftp lhc.nlm.nih.gov,
user ftp, pw your own ident, cd pub/ai-medicine). One item I found particu-
larly interesting, and I have asked Prof. Bekey for further details; I under-
stand that he will be at Rancho Los Amigos shortly.

In 1989, RLA acquired a 3-D video system for movement analysis, so I presume
that this study might be of interest to some readers of our list.

With kind regards -- Herman J. Woltring, Eindhoven/NL


N.B.: SCAMC x = Proc.of the xth Annual Symp. on Computer Applications in
Medical Care (Washington DC), IEEE (>1977).

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Message 32:
Date: Tue, 23 Oct 1990 21:09:18 PDT
From: George Bekey
Subject: scamc abstract

GAIT-ER-AIDE: AN EXPERT SYSTEM FOR ANALYSIS OF GAIT WITH AUTOMATIC
INTELLIGENT PREPROCESSING OF DATA

E. Bontrager, J. Perry, R. Bogey, J. Gronley, L. Barnes
Rancho Los Amigos Medical Center, Downey, California
G. Bekey, J.-W. Kim
Computer Science Dept, University of Southern California

This paper describes the architecture and applications of an expert
system designed to identify the specific muscles responsible for a given
dysfunctional gait pattern. The system consists of two parts: a data analysis
expert system (DA/ES) and a gait pathology expert system (GP/ES). The DA/ES
processes raw data on joint angles, foot-floor contact patterns and EMG's
from relevant muscles and sythesizes them into a data frame for use by the
GP/ES. Various aspects of the intelligent data pre-processing are described
in detail, followed by a presentation of the GP/ES, including its structure,
knowledge base, rule base, and inference engine. The inference process is
clarified by careful analysis of an actual case, a patient with an equinus
gait.