Larry Zhang
Larry Zhang
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Behavioral Signal Processing for Diagnosing Neuropsychiatric Disorders
Behavioral Signal Processing methods provide the basis for modeling human behavior with high resolution. Computational methods developed for Behavioral Signal Processing applications can provide deeper understanding of behavioral phenomena, especially useful for neuropsychiatry. I am developing methods to support dynamic analysis of clinical interviews, online data collection, and neuropsychiatric batteries. These methods are enabling understanding of mechanisms which underlie several disorders including dementia, schizophrenia, trauma, and depression. My work features analysis on the Framingham Heart Study Cognitive Aging Cohort, DCAPS Distress Corpus, and Mental Health America.
Neuropsychological test validation of speech markers of cognitive impairment in the Framingham Cognitive Aging Cohort
Aim:
Although clinicians primarily diagnose dementia based on a combination of metrics such as medical history and formal …
Larry Zhang
,
Anthony Ngo
,
Jason A. Thomas
,
Hannah A. Burkhardt
,
Carolyn M. Parsey
,
Rhoda Au
,
Reza Hosseini Ghomi
Cite
DOI
Assessing the Utility of Language and Voice Biomarkers to Predict Cognitive Impairment in the Framingham Heart Study Cognitive Aging Cohort Data
Background:
There is a need for fast, accessible, low-cost, and accurate diagnostic methods for early detection of cognitive decline. …
Jason A. Thomas
,
Hannah A. Burkhardt
,
Safina Chaudhry
,
Anthony Ngo
,
Saransh Sharma
,
Larry Zhang
,
Rhoda Au
,
Reza Hosseini Ghomi
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DOI
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