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Voice-controlled house-hold devices, like Amazon Echo or Google Home, face the problem of performing speech recognition of device-directed speech in the presence of interfering background speech, i.e., background noise and interfering…

Computation and Language · Computer Science 2019-02-08 Yiming Wang , Xing Fan , I-Fan Chen , Yuzong Liu , Tongfei Chen , Björn Hoffmeister

Cardiovascular diseases are a leading cause of fatalities worldwide, often occurring suddenly with limited time for intervention. Current healthcare monitoring systems for cardiac patients rely heavily on hospitalization, which can be…

Networking and Internet Architecture · Computer Science 2025-05-07 Sanam Nayab , Sohail Raza Chohan , Aqsa Jameel , Syed Rehan Shah , Syed Ahsan Masud Zaidi , Aditya Nath Jha , Kamran Siddique

Respiration rate (RR) is an important vital sign for clinical monitoring of hospitalized patients, with changes in RR being strongly tied to changes in clinical status leading to adverse events. Human labels for RR, based on counting…

Signal Processing · Electrical Eng. & Systems 2025-08-25 Thomas Kite , Brian Ayers , Nicholas Houstis , Asishana A. Osho , Thoralf M. Sundt , Aaron D Aguirre

Continuous monitoring of respiratory activity is desirable in many clinical applications to detect respiratory events. Non-contact monitoring of respiration can be achieved with near- and far-infrared spectrum cameras. However, current…

Signal Processing · Electrical Eng. & Systems 2020-06-02 Gaetano Scebba , Giulia Da Poian , Walter Karlen

Wearable technologies are envisaged to provide critical support to future healthcare systems. Hearables - devices worn in the ear - are of particular interest due to their ability to provide health monitoring in an efficient, reliable and…

The development of new technology such as wearables that record high-quality single channel ECG, provides an opportunity for ECG screening in a larger population, especially for atrial fibrillation screening. The main goal of this study is…

Signal Processing · Electrical Eng. & Systems 2017-10-17 Jonathan Rubin , Saman Parvaneh , Asif Rahman , Bryan Conroy , Saeed Babaeizadeh

Cardiac Magnetic Resonance (CMR) is the most effective tool for the assessment and diagnosis of a heart condition, which malfunction is the world's leading cause of death. Software tools leveraging Artificial Intelligence already enhance…

Computer Vision and Pattern Recognition · Computer Science 2021-03-16 Adrianna Janik , Jonathan Dodd , Georgiana Ifrim , Kris Sankaran , Kathleen Curran

Cardiovascular diseases, including Heart Failure (HF), remain a leading global cause of mortality, often evading early detection. In this context, accessible and effective risk assessment is indispensable. Traditional approaches rely on…

Signal Processing · Electrical Eng. & Systems 2024-03-26 Sergio González , Abel Ko-Chun Yi , Wan-Ting Hsieh , Wei-Chao Chen , Chun-Li Wang , Victor Chien-Chia Wu , Shang-Hung Chang

Asthma is becoming a very serious problem with every passing day, especially in children. However, it is very difficult to detect this disorder in them, since the breathing motion of children tends to change when they reach an age of 6.…

Image and Video Processing · Electrical Eng. & Systems 2019-11-05 Sheona M. M. D. P. Sequeira , Beril Sirmacek

Optical character recognition (OCR), a process that converts printed or handwritten text into machine-readable form, is widely used in assistive technology for people with blindness and low vision. Yet most evaluations rely on static…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Junchi Feng , Nikhil Ballem , Mahya Beheshti , Giles Hamilton-Fletcher , Todd Hudson , Maurizio Porfiri , William H. Seiple , John-Ross Rizzo

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a common sleep disorder caused by upper airway blockage, leading to oxygen deprivation and disrupted sleep. Traditional diagnosis using polysomnography (PSG) is expensive, time-consuming,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Yingchen Wei , Xihe Qiu , Xiaoyu Tan , Jingjing Huang , Wei Chu , Yinghui Xu , Yuan Qi

Heart diseases are the main international cause of human defunction. According to the WHO, nearly 18 million people decease each year because of heart diseases. Also considering the increase of medical data, much pressure is put on the…

Image and Video Processing · Electrical Eng. & Systems 2024-05-01 Andrés Bell-Navas , Nourelhouda Groun , María Villalba-Orero , Enrique Lara-Pezzi , Jesús Garicano-Mena , Soledad Le Clainche

We have performed cough detection based on measurements from an accelerometer attached to the patient's bed. This form of monitoring is less intrusive than body-attached accelerometer sensors, and sidesteps privacy concerns encountered when…

Machine Learning · Computer Science 2022-05-12 Madhurananda Pahar , Igor Miranda , Andreas Diacon , Thomas Niesler

Over the last decade there has been high interest in home sleep monitoring among research community and society. Smartphone-based sleep monitoring seems to be especially attractive. However, smartphone should be able to register…

Signal Processing · Electrical Eng. & Systems 2019-05-08 Alexander Tataraidze , Roman Olesyuk , Mikhail Pikhletsky

Home Digital Voice Assistants (HDVAs) are getting popular in recent years. Users can control smart devices and get living assistance through those HDVAs (e.g., Amazon Alexa, Google Home) using voice. In this work, we study the insecurity of…

Cryptography and Security · Computer Science 2019-11-14 Xinyu Lei , Guan-Hua Tu , Alex X. Liu , Kamran Ali , Chi-Yu Li , Tian Xie

Heart disease is the number one killer, and ECGs can assist in the early diagnosis and prevention of deadly outcomes. Accurate ECG interpretation is critical in detecting heart diseases; however, they are often misinterpreted due to a lack…

Machine Learning · Computer Science 2021-10-29 Dharma KC , Chicheng Zhang , Chris Gniady , Parth Sandeep Agarwal , Sushil Sharma

Non-contact vital sign monitoring has many advantages over conventional methods in being comfortable, unobtrusive and without any risk of spreading infection. The use of millimeter-wave (mmWave) radars is one of the most promising…

Signal Processing · Electrical Eng. & Systems 2023-09-18 Steven Marty , Federico Pantanella , Andrea Ronco , Kanika Dheman , Michele Magno

Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a chronic breathing disorder caused by a blockage in the upper airways. Snoring is a prominent symptom of OSAHS, and previous studies have attempted to identify the obstruction site of…

Sound · Computer Science 2023-07-26 Li Xiao , Xiuping Yang , Xinhong Li , Weiping Tu , Xiong Chen , Weiyan Yi , Jie Lin , Yuhong Yang , Yanzhen Ren

Early and reliable detection of heart murmurs is essential for the timely diagnosis of cardiovascular diseases, yet traditional auscultation remains subjective and dependent on expert interpretation. This work investigates artificial…

Signal Processing · Electrical Eng. & Systems 2025-11-04 Andrea De Simone , Noemi Giordano , Silvia Seoni , Kristen M. Meiburger , Fabrizio Riente

The COVID-19 pandemic has affected the world unevenly; while industrial economies have been able to produce the tests necessary to track the spread of the virus and mostly avoided complete lockdowns, developing countries have faced issues…

Sound · Computer Science 2021-01-01 Björn W. Schuller , Harry Coppock , Alexander Gaskell