Development of a multimodal system based on acoustic analysis and EEG signals for early detection of Alzheimer's disease: integrated study of acoustic and neuronal biomarkers

Integrating acoustic and EEG biomarkers presents a novel approach to non-invasive, early-stage Alzheimer's detection. By utilizing complementary data from speech and brain activity, this multimodal system offers valuable insights for clinicians, facilitating timely interventions and improved patient outcomes. References 1. NIA, Subtle changes in speech are associated with early signs of Alzheimer's disease in the brain, NIH, 2024 2. Xiaobo Mao, Diagnosis of Alzheimer's disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features, Frontiers, 2023 3. Yang DW, Ho S, Hong YJ, Jeong JH, Park KH, Kim S, Wang MJ, Choi SH, Kang SW, ShimY Electroencephalography for Early Detection of Alzheimer's Disease in Subjective Cognitive Decline, Korean Dementia Association, 2022Oct25;21(4):126-137 4. Luke Tait, Francesco Tamagnini, George Stothart, Edoardo Barvas, Chiara Monaldini, Roberto Frusciante, Mirco Volpini, Susanna Guttmann, Elizabeth Coulthard, Jon T. Brown, Nina Kazanina & Marc Goodfellow, EEG microstate complexity for aiding early diagnosis of Alzheimer's disease, scientific reports, 2020.