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We propose a cloud-based multimodal dialog platform for the remote assessment and monitoring of Amyotrophic Lateral Sclerosis (ALS) at scale. This paper presents our vision, technology setup, and an initial investigation of the efficacy of…

The analysis of speech in individuals with amyotrophic lateral sclerosis is a powerful tool to support clinicians in the assessment of bulbar dysfunction. However, current methods used in clinical practice consist of subjective evaluations…

Audio and Speech Processing · Electrical Eng. & Systems 2025-05-28 Francesco Pierotti , Andrea Bandini

Objective: Amyotrophic lateral sclerosis (ALS) is a rare disease, but is also one of the most common motor neuron diseases, and people of all races and ethnic backgrounds are affected. There is currently no cure. Brain computer interfaces…

Human-Computer Interaction · Computer Science 2017-06-29 Jing Jin , Brendan Z. Allison , Yu Zhang , Yan Chen , Sijie Zhou , Yi Dong , Xingyu Wang , Andrzej Chchocki

The analysis of speech measures in individuals with amyotrophic lateral sclerosis (ALS) can provide essential information for early diagnosis and tracking disease progression. However, current methods for extracting speech and pause…

Sound · Computer Science 2022-08-24 Saeid Alavi Naeini , Leif Simmatis , Yana Yunusova , Babak Taati

Lipreading or visually recognizing speech from the mouth movements of a speaker is a challenging and mentally taxing task. Unfortunately, multiple medical conditions force people to depend on this skill in their day-to-day lives for…

Computer Vision and Pattern Recognition · Computer Science 2021-11-04 Bipasha Sen , Aditya Agarwal , Rudrabha Mukhopadhyay , Vinay Namboodiri , C V Jawahar

The upper motor neuron dysfunction in amyotrophic lateral sclerosis was quantified using triple stimulation and more focal transcranial magnetic stimulation techniques that were developed to reduce recording variability. These measurements…

Neurons and Cognition · Quantitative Biology 2016-09-29 Rahul Remanan , Viktor Sukhotskiy , Mona Shahbazi , Edward P. Furlani , Dale J. Lange

Amyotrophic Lateral Sclerosis (ALS) constitutes a progressive neurodegenerative disease with varying symptoms, including decline in speech intelligibility. Existing studies, which recognize dysarthria in ALS patients by predicting the…

Machine Learning · Computer Science 2025-03-05 Loukas Ilias , Dimitris Askounis

Amyotrophic lateral sclerosis (ALS) is a degenerative disorder of the motor neurons that causes progressive paralysis in patients. Current treatment options aim to prolong survival and improve quality of life. However, due to the…

Quantitative Methods · Quantitative Biology 2025-11-20 Christian Marius Lillelund , Sanjay Kalra , Russell Greiner

Amyotrophic lateral sclerosis (ALS) is a severe disease with a typical survival of 3-5 years after symptom onset. Current treatments offer only limited life extension, and the variability in patient responses highlights the need for…

Machine Learning · Computer Science 2025-11-05 Guillaume Tejedor , Veronika Peralta , Nicolas Labroche , Patrick Marcel , Hélène Blasco , Hugo Alarcan

People with heavy physical impairment such as amyotrophic lateral sclerosis (ALS) in a completely locked-in state (CLIS) suffer from inability to express their thoughts to others. To solve this problem, many brain-computer interface (BCI)…

Human-Computer Interaction · Computer Science 2020-04-24 Kuniaki Ozawa , Masayoshi Naito , Naoki Tanaka , Shiryu Wada

Accurate diagnosis of Alzheimer's Disease (AD) entails clinical evaluation of multiple cognition metrics and biomarkers. Metrics such as the Alzheimer's Disease Assessment Scale - Cognitive test (ADAS-cog) comprise multiple subscores that…

Machine Learning · Statistics 2017-08-16 Lev E. Givon , Laura J. Mariano , David O'Dowd , John M. Irvine , Abraham R. Schneider

Amyotrophic Lateral Sclerosis (ALS) is characterized as a rapidly progressive neurodegenerative disease that presents individuals with limited treatment options in the realm of medical interventions and therapies. The disease showcases a…

Machine Learning · Computer Science 2024-07-12 Ritesh Mehta , Aleksandar Pramov , Shashank Verma

Amyotrophic lateral sclerosis (ALS), a progressive neuromuscular degenerative disease, severely restricts patient communication capacity within a few years of onset, resulting in a significant deterioration of quality of life. The P300…

Human-Computer Interaction · Computer Science 2024-10-22 Nithin Parthasarathy , James Soetedjo , Saarang Panchavati , Nitya Parthasarathy , Corey Arnold , Nader Pouratian , William Speier

Accurate prediction of clinical scores is critical for early detection and prognosis of Alzheimers disease (AD). While existing approaches primarily focus on forecasting the ADAS-Cog global score, they often overlook the predictive value of…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Nur Amirah Abd Hamid , Mohd Shahrizal Rusli , Muhammad Thaqif Iman Mohd Taufek , Mohd Ibrahim Shapiai , Daphne Teck Ching Lai

Automatic prediction of amyotrophic lateral sclerosis (ALS) disease progression provides a more efficient and objective alternative than manual approaches. We propose ALS longitudinal speech transformer (ALST), a neural network-based…

Recent advances in Artificial Intelligence (AI) and the exploration of noninvasive, objective biomarkers, such as speech signals, have encouraged the development of algorithms to support the early diagnosis of neurodegenerative diseases,…

Amyotrophic lateral sclerosis (ALS) is incurable neurological disorder with rapidly progressive course. Common early symptoms of ALS are difficulty in swallowing and speech. However, early acoustic manifestation of speech and voice symptoms…

Sound · Computer Science 2021-01-12 Maxim Vashkevich , Yulia Rushkevich

Amyotrophic Lateral Sclerosis (ALS) and Myopathy present considerable challenges in the realm of neuromuscular disorder diagnostics. In this study, we employ advanced deep-learning techniques to address the detection of ALS and Myopathy,…

Signal Processing · Electrical Eng. & Systems 2024-10-30 Md. Toufiqur Rahman , Minhajur Rahman , Celia Shahnaz

Cognitive decline is a sign of Alzheimer's disease (AD), and there is evidence that tracking a person's eye movement, using eye tracking devices, can be used for the automatic identification of early signs of cognitive decline. However,…

Computation and Language · Computer Science 2019-10-02 Bahman Mirheidari , Yilin Pan , Traci Walker , Markus Reuber , Annalena Venneri , Daniel Blackburn , Heidi Christensen

Alzheimer's disease (AD) is a progressive neurodegenerative disease most often associated with memory deficits and cognitive decline. With the aging population, there has been much interest in automated methods for cognitive impairment…

Audio and Speech Processing · Electrical Eng. & Systems 2023-03-07 Bastiaan Tamm , Rik Vandenberghe , Hugo Van hamme
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