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200 papers

The primary objective of this paper is to build classification models and strategies to identify breathing sound anomalies (wheeze, crackle) for automated diagnosis of respiratory and pulmonary diseases. In this work we propose a deep…

Audio and Speech Processing · Electrical Eng. & Systems 2020-04-20 Jyotibdha Acharya , Arindam Basu

Respiratory rate (RR) monitoring is integral to understanding physical and mental health and tracking fitness. Existing studies have demonstrated the feasibility of RR monitoring under specific user conditions (e.g., while remaining still,…

Human-Computer Interaction · Computer Science 2024-07-10 Yang Liu , Kayla-Jade Butkow , Jake Stuchbury-Wass , Adam Pullin , Dong Ma , Cecilia Mascolo

In this paper, we formulate acoustic howling suppression (AHS) as a supervised learning problem and propose a deep learning approach, called Deep AHS, to address it. Deep AHS is trained in a teacher forcing way which converts the recurrent…

Audio and Speech Processing · Electrical Eng. & Systems 2023-08-21 Hao Zhang , Meng Yu , Dong Yu

Diagnosing sleep disorders is an important focus in neuroscience and engineering, as these conditions involve issues such as insufficient sleep, frequent awakenings, and difficulty reaching deep sleep. Accurate detection based on brain…

Neurons and Cognition · Quantitative Biology 2025-09-03 Mohammad Reza Yousefi , Reza Rahimi

Note-level automatic music transcription is one of the most representative music information retrieval (MIR) tasks and has been studied for various instruments to understand music. However, due to the lack of high-quality labeled data,…

Sound · Computer Science 2023-04-13 Sangeon Yong , Li Su , Juhan Nam

Obstructive sleep apnea (OSA) is a significant risk factor for hypertension, primarily due to intermittent hypoxia and sleep fragmentation. Predicting whether individuals with OSA will develop hypertension within five years remains a…

Computer Vision and Pattern Recognition · Computer Science 2025-05-28 Omid Halimi Milani , Ahmet Enis Cetin , Bharati Prasad

Polysomnographic recordings are essential for diagnosing many sleep disorders, yet their detailed analysis presents considerable challenges. With the rise of machine learning methodologies, researchers have created various algorithms to…

Study Objectives: Polysomnography (PSG) currently serves as the benchmark for evaluating sleep disorders. Its discomfort makes long-term monitoring unfeasible, leading to bias in sleep quality assessment. Hence, less invasive,…

Epilepsy is a prevalent neurological disorder affecting 50 million individuals worldwide and 1.2 million Americans. There exist millions of pediatric patients with intractable epilepsy, a condition in which seizures fail to come under…

Machine Learning · Computer Science 2023-09-07 Bliss Singhal , Fnu Pooja

Cough is one of the most common symptoms in all respiratory diseases. In cases like Chronic Obstructive Pulmonary Disease, Asthma, acute and chronic Bronchitis and the recent pandemic Covid-19, the early identification of cough is important…

Sound · Computer Science 2021-07-27 Vinay Kulkarni , Radhakrishnan Vadakkethil

Tinnitus is a prevalent hearing disorder that can be caused by various factors such as age, hearing loss, exposure to loud noises, ear infections or tumors, certain medications, head or neck injuries, and psychological conditions like…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Farzaneh Ramezani , Hamidreza Bolhasani

Pulmonary diseases impact millions of lives globally and annually. The recent outbreak of the pandemic of the COVID-19, a novel pulmonary infection, has more than ever brought the attention of the research community to the machine-aided…

Machine Learning · Computer Science 2020-11-30 Morteza Hosseini , Haoran Ren , Hasib-Al Rashid , Arnab Neelim Mazumder , Bharat Prakash , Tinoosh Mohsenin

Developing comprehensive assistive technologies requires the seamless integration of visual and auditory perception. This research evaluates the feasibility of a modular architecture inspired by core functionalities of perceptive systems…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Akshit Pramod Anchan , Jewelith Thomas , Sritama Roy

Out-of-hospital cardiac arrest (OHCA) is a leading cause of death worldwide. Rapid diagnosis and initiation of cardiopulmonary resuscitation (CPR) is the cornerstone of therapy for victims of cardiac arrest. Yet a significant fraction of…

Computers and Society · Computer Science 2019-03-01 Justin Chan , Thomas Rea , Shyamnath Gollakota , Jacob E. Sunshine

We introduce a ML-based architecture for network operators to detect impairments from specific OSaaS users while blind to the users' internal spectrum details. Experimental studies with three OSaaS users demonstrate the model's capability…

Networking and Internet Architecture · Computer Science 2025-03-24 Agastya Raj , Zehao Wang , Frank Slyne , Tingjun Chen , Dan Kilper , Marco Ruffini

Early management and better clinical outcomes for epileptic patients depend on seizure prediction. The accuracy and false alarm rates of existing systems are often compromised by their dependence on static thresholds and basic…

Signal Processing · Electrical Eng. & Systems 2025-01-29 Mathan Kumar Mounagurusamy , Thiyagarajan V S , Abdur Rahman , Shravan Chandak , D. Balaji , Venkateswara Rao Jallepalli

Recovering the support of sparse vectors in underdetermined linear regression models, \textit{aka}, compressive sensing is important in many signal processing applications. High SNR consistency (HSC), i.e., the ability of a support recovery…

Signal Processing · Electrical Eng. & Systems 2018-11-20 Sreejith Kallummil , Sheetal Kalyani

Epilepsy is common neurological diseases, affecting about 0.6-0.8 % of world population. Epileptic patients suffer from chronic unprovoked seizures, which can result in broad spectrum of debilitating medical and social consequences. Since…

Quantitative Methods · Quantitative Biology 2017-06-13 Sachin S. Talathi

Background: Obstructive sleep apnea (OSA) is growing increasingly prevalent in many countries as obesity rises. Sufficient, effective treatment of OSA entails high social and financial costs for healthcare. Objective: For treatment…

Artificial Intelligence · Computer Science 2023-01-31 Zhaoyang Chen , Lina Siltala-Li , Mikko Lassila , Pekka Malo , Eeva Vilkkumaa , Tarja Saaresranta , Arho Veli Virkki

This paper explores using RSS measurements on many links in a wireless network to estimate the breathing rate of a person, and the location where the breathing is occurring, in a home, while the person is sitting, laying down, standing, or…

Human-Computer Interaction · Computer Science 2023-07-19 Neal Patwari , Lara Brewer , Quinn Tate , Ossi Kaltiokallio , Maurizio Bocca