2026-09-20T00:59:36Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1501992023-04-01T03:54:31Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Davis, Randall
Penney, Dana
Cook, Jack
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2023-03-31T14:39:08Z
2023-03-31T14:39:08Z
2023-02
2023-02-27T18:43:15.369Z
https://hdl.handle.net/1721.1/150199
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.
M.Eng.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright MIT
http://rightsstatements.org/page/InC-EDU/1.0/
An Effective Platform for Assessing Cognitive Health
Thesis
application/pdf
Master
Master of Engineering in Electrical Engineering and Computer Science
Publication
unknown
unknown
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<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.</Abstract>
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