Automated Cognitive Health Assessment From Smart Home-Based Behavior Data

Prafulla Nath Dawadi; Diane Joyce Cook; Maureen Schmitter-Edgecombe

doi:10.1109/JBHI.2015.2445754

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Automated Cognitive Health Assessment From Smart Home-Based Behavior Data

Journal article

Open access

Automated Cognitive Health Assessment From Smart Home-Based Behavior Data

Prafulla Nath Dawadi, Diane Joyce Cook and Maureen Schmitter-Edgecombe

IEEE journal of biomedical and health informatics, Vol.20(4), pp.1188-1194

07/2016

DOI: https://doi.org/10.1109/JBHI.2015.2445754

Handle:

https://hdl.handle.net/2376/103174

PMID: 26292348

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Abstract

Activities of daily living (ADL)

Correlation

activity performance

Smart homes

Biomedical measurement

Feature extraction

Prediction algorithms

smart home

machine learning

Informatics

Monitoring

automated clinical assessment

Smart home technologies offer potential benefits for assisting clinicians by automating health monitoring and well-being assessment. In this paper, we examine the actual benefits of smart home-based analysis by monitoring daily behavior in the home and predicting clinical scores of the residents. To accomplish this goal, we propose a clinical assessment using activity behavior (CAAB) approach to model a smart home resident's daily behavior and predict the corresponding clinical scores. CAAB uses statistical features that describe characteristics of a resident's daily activity performance to train machine learning algorithms that predict the clinical scores. We evaluate the performance of CAAB utilizing smart home sensor data collected from 18 smart homes over two years. We obtain a statistically significant correlation ( r=0.72) between CAAB-predicted and clinician-provided cognitive scores and a statistically significant correlation (r=0.45) between CAAB-predicted and clinician-provided mobility scores. These prediction results suggest that it is feasible to predict clinical scores using smart home sensor data and learning-based data analysis.

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Title: Automated Cognitive Health Assessment From Smart Home-Based Behavior Data
Creators: Prafulla Nath Dawadi - School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Diane Joyce Cook - School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Maureen Schmitter-Edgecombe - Department of Psychology, Washington State University, Pullman, WA, USA
Publication Details: IEEE journal of biomedical and health informatics, Vol.20(4), pp.1188-1194
Academic Unit: Psychology, Department of; Electrical Engineering and Computer Science, School of
Publisher: IEEE
Grant note: R01EB015853; R01EB009675 / National Institute of Health (10.13039/100000002) 1064628 / National Science Foundation (10.13039/100000001)
Identifiers: 99900546799401842
Language: English
Resource Type: Journal article