Authors:
Muskan Kothari
;
Darshil Shah
;
Moulya T.
;
Swasthi Rao
and
Jayashree R.
Affiliation:
Department of Computer Science and Engineering, PES University, Bangalore, India
Keyword(s):
Alzheimer’s Disease, Speech, Feature Extraction, Brunet’s Measure, Sichel’s Measure, Lexical Diversity, MATTR, MTLD.
Abstract:
Alzheimer’s disease is the most common cause of dementia — a continuous decline in thinking, behavioral and social skills that affects a person’s ability to function independently. Another area of concern is the overlap of symptoms with a similar disease of dementia - Frontotemporal Dementia(FTD). This paper aims to analyze the difference in linguistic features between control and dementia groups with respect to lexical diversity through measures like Brunet’s and Sichel’s measure, frequency rates of adverb, verb, and linguistic deterioration through repetition, disfluency, incomplete sentences, hesitation and long pauses through dataset obtained by DementiaBank. This is achieved through gauging the cognitive ability in speech, which is an inexpensive and non-invasive mode of analysis, qualifying as a screening test. The subjects are given certain description tasks such as the famous cookie theft picture, analyzed through conversations. The result displays the difference in lexical d
iversity which is a significant marker.
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