2023
DOI: 10.3390/bioengineering10091093
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Deep Learning of Speech Data for Early Detection of Alzheimer’s Disease in the Elderly

Kichan Ahn,
Minwoo Cho,
Suk Wha Kim
et al.

Abstract: Background: Alzheimer’s disease (AD) is the most common form of dementia, which makes the lives of patients and their families difficult for various reasons. Therefore, early detection of AD is crucial to alleviating the symptoms through medication and treatment. Objective: Given that AD strongly induces language disorders, this study aims to detect AD rapidly by analyzing the language characteristics. Materials and Methods: The mini-mental state examination for dementia screening (MMSE-DS), which is most comm… Show more

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Cited by 3 publications
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“…In a similar way, the early detection of Alzeimer's Disease (AD) was also studied [8][9][10]. This disease affects the communication skills of the patients as they struggle to find words, remember things or keep a good verbal-fluency.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In a similar way, the early detection of Alzeimer's Disease (AD) was also studied [8][9][10]. This disease affects the communication skills of the patients as they struggle to find words, remember things or keep a good verbal-fluency.…”
Section: Introductionmentioning
confidence: 99%
“…counting, answering questions, memory test) and recorded their responses. This dataset was then used to train and validate specific DL models: Long Short-Term Memory (LSTM) networks with Mel-Frequency Cepstral Coefficients (MFCC) as inputs [8], 2D CNN using MFCC [9], or a combination of 2D CNN and LSTM using Mel-Spectrograms [10].…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, in countries like Italy with aging populations and caregiver shortages, initiatives like the GUARDIAN ecosystem offer robotic assistance and mobile applications to improve the daily lives and care quality of the elderly through human-robot interactions [4]. Moreover, artificial intelligence (AI) has been proven to be beneficial in patient care, from facilitating communication for those with cerebral palsy using facial recognition-based Morse codes to preventing pressure ulcers in immobile patients and detecting early signs of Alzheimer's disease [5][6][7]. AI-driven wearable devices also enable remote patient monitoring [8].…”
Section: Introductionmentioning
confidence: 99%