An Effective Platform for Assessing Cognitive Health
Name
cook-cookj-meng-eecs-2023-thesis.pdf
Description
Thesis PDF
Size
7.35 MB
Format
Adobe PDF
Checksum (MD5)
8fc351b5017ff85f0b8e70cd4a8ddad3
Author(s)
Cook, Jack
Advisor(s)
Davis, Randall
Penney, Dana
Date Issued
February 2023
Publisher
Massachusetts Institute of Technology
Abstract
Over the last two decades, mortality rates due to Alzheimer’s disease and related dementias (ADRD) have more than doubled in the United States. Currently available treatments for Alzheimer’s disease are more effective in the disease’s earlier stages, but making early diagnoses remains difficult. The most common method for diagnosing early-stage ADRD involves routine cognitive assessments under the supervision of a medical professional, a costly and time-consuming process. Furthermore, these assessments are often administered with pen and paper, making it difficult to measure many behaviors expressed by the patient.
In this work, we develop an app for a tablet computer and stylus that administers novel variations of three established cognitive assessments: the Clock Drawing Test, the Maze Test, and the Symbol Digit Test. The app aims to replicate the role of a human administrator by providing instructions and correcting mistakes as patients complete each assessment. It also collects a wealth of data, such as pen strokes and patient movements, that can be used to aid medical professionals in making an accurate diagnosis. Combined, these innovations make it easy for patients to routinely complete assessments at home, on their own devices. We hope this reduces barriers toward diagnosing early-stage ADRD.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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