wh2014 session: unsupervised head impact identification using inertial body sensors based on linear...

WLSACONVERGENCE SUMMIT

UNSUPERVISED HEAD IMPACT IDENTIFICATION USING INERTIAL BODY SENSORS BASED ON LINEAR DYNAMICAL MODEL JIAQI GONG, JOHN LACH

CHARLES L. BROWN DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERINGUNIVERSITY OF VIRGINIA

UNSUPERVISED HEAD IMPACT IDENTIFICATION USING INERTIAL BODY SENSORS BASED ON

LINEAR DYNAMICAL MODEL

Wireless Health, October 30th, 2014

Jiaqi Gong, Sriram Raju Dandu, John

LachCharles L. Brown Department of Electrical and

Computer EngineeringUniversity of Virginia

Bryson ReynoldsDepartment of Neuroscience

University of Virginia

Jason DruzgalDepartment of

Radiology and Medical Imaging

University of Virginia

UVA CENTER FORWIRELESS HEALTH

Neurological Studies on Head Impact

MRI ScanMRI Scan Game Season

Correlation between head Impacts during the games and the MRI changes

Goal and Method

Providing more representative data sets for neurological studies

Proof of Concept

Athletes from 5 collegiate and 1 high school teams wore

impact sensing skin patches on the skin covering their mastoid process during all

official practices and games. Identifying Features

Modeling, feature extraction and

clustering

Purpose Method

Aim to provide an accurate unsupervised method to

identify the true head impact data from the raw inertial data

Results

In order to validate the accuracy of the proposed method, we manually labeled 14,176 data sessions (9185 positive and 4991 negative) to compare the manual labels and unsupervised classifications.

Using the manual labels as reference, the proposed unsupervised method achieved 85% accuracy, 88% sensitivity, 80% specificity, and 89% precision.PERCENTAGE Identified as Real

ImpactsIdentified as Fake Impacts

Real Impacts 88.5 11.5

Fake Impacts 19.5 80.5

SAMPLES Identified as Real Impacts

Identified as Fake Impacts

Real Impacts (9185 sessions)

8125 1060

Fake Impacts(4991 sessions)

973 4018

Contact Us

Contact us with any question you have Jiaqi Gong (JGONG@VIRGINIA.EDU) Sriram Raju Dandu, (SD9AJ@VIRGINIA.EDU)

UVA CENTER FORWIRELESS HEALTH

WLSACONVERGENCE SUMMIT

www.wirelesshealth2014.org