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Massachusetts Institute of Technology

An Effective Platform for Assessing Cognitive Health

Abstract

dc:description.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.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Cook, Jack
Advisors dc:contributor.advisor
  • Davis, Randall
  • Penney, Dana

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/150199
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/150199

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Cook, Jack. An Effective Platform for Assessing Cognitive Health. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/150199