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Deviations in respiratory rate often precede abnormalities in other vital signs. However, continuously monitoring respiratory rates outside clinical settings remains challenging due to the obtrusive nature and sensitivity to body motions in…

Signal Processing · Electrical Eng. & Systems 2024-11-15 Sebastian Reidy , Manuel Meier , Christian Holz

In this study, a machine learning model was developed for automatically detecting respiratory system sounds such as sneezing and coughing in disease diagnosis. The automatic model and approach development of breath sounds, which carry…

Sound · Computer Science 2021-11-30 Negin Melek

Received signal strength based respiration rate monitoring is emerging as an alternative non-contact technology. These systems make use of the radio measurements of short-range commodity wireless devices, which vary due to the inhalation…

Signal Processing · Electrical Eng. & Systems 2017-11-28 Hüseyin Yiğitler , Ossi Kaltiokallio , Roland Hostettler , Riku Jäntti , Neal Patwari , Simo Särkkä

Beam tracking is an essential functionality of millimeter wave (mmWave, 30-100 GHz) and sub-terahertz (sub-THz, 100-300 GHz) 5G/6G systems. It operates by performing antenna sweeping at both base station (BS) and user equipment (UE) sides…

Objective: Sleep related respiratory abnormalities are typically detected using polysomnography. There is a need in general medicine and critical care for a more convenient method to automatically detect sleep apnea from a simple,…

Observation of gravitational waves (GWs) in two different frequency bands is referred to as multiband GW astronomy. With the planned Laser Interferometric Space Antenna (LISA) operating in the $10^{-4}-0.1$ Hz range, and third generation…

General Relativity and Quantum Cosmology · Physics 2021-03-17 Sayantani Datta , Anuradha Gupta , Shilpa Kastha , K. G. Arun , B. S. Sathyaprakash

Air pollution in urban areas has severe consequences for both human health and the environment, predominantly caused by exhaust emissions from vehicles. To address the issue of air pollution awareness, Air Pollution Monitoring systems are…

Machine Learning · Computer Science 2023-07-04 Hemanth Karnati

In recent years, advancements in deep learning techniques have considerably enhanced the efficiency and accuracy of medical diagnostics. In this work, a novel approach using multi-task learning (MTL) for the simultaneous classification of…

Machine Learning · Computer Science 2024-04-08 Suma K , Deepali Koppad , Preethi Kumar , Neha A Kantikar , Surabhi Ramesh

We introduce BeaMsteerX (BMX), a novel mmWave hand hygiene gesture recognition technique that improves accuracy in longer ranges (1.5m). BMX steers a mmWave beam towards multiple directions around the subject, generating multiple views of…

Human-Computer Interaction · Computer Science 2025-03-24 Isura Nirmal , Wen Hu , Mahbub Hassan , Elias Aboutanios , Abdelwahed Khamis

We have created a lung simulation to quantify lung heterogeneity from the results of the inspired sinewave test (IST). The IST is a lung function test that is non-invasive, non-ionising and does not require patients' cooperation. A tidal…

Medical Physics · Physics 2020-09-30 Minh C. Tran , Douglas C. Crockett , Phi A. Phan , Stephen J. Payne , Andrew D. Farmery

This paper investigates the application of millimeter-wave (mmWave) radar for the estimation of human vital signs. Aiming to obtain more accurate frequency estimation for periodic signals of respiration and heartbeat, we propose the…

Signal Processing · Electrical Eng. & Systems 2024-08-06 Chieh-Hsun Hsieh , Tung-Lin Tsai , Po-Hsuan Tseng

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

The gold standard to assess respiration during sleep is polysomnography; a technique that is burdensome, expensive (both in analysis time and measurement costs), and difficult to repeat. Automation of respiratory analysis can improve test…

The upcoming NASA mission HelioSwarm will use nine spacecraft to make the first simultaneous multi-point measurements of space plasmas spanning multiple scales. Using the wave-telescope technique, HelioSwarm's measurements will allow for…

Space Physics · Physics 2023-05-17 Theodore Broeren , Kristopher Klein

The millimeter wave (mmWave) frequencies offer the potential for enormous capacity wireless links. However, designing robust communication systems at these frequencies requires that we understand the channel dynamics over both time and…

Signal Processing · Electrical Eng. & Systems 2017-12-18 Christopher Slezak , Aditya Dhananjay , Sundeep Rangan

Dual-frequency comb spectroscopy has emerged as a disruptive technique for measuring wide-spanning spectra with high resolution, yielding a particularly powerful technique for sensitive multi-component gas analysis. We present a…

We describe an instrument which can be used to analyze complex chemical mixtures at high resolution and high sensitivity. Molecules are collisionally cooled with helium gas at cryogenic temperatures (~ 4-7 K), and subsequently detected…

Instrumentation and Detectors · Physics 2019-05-22 Jessica P. Porterfield , Lincoln Satterthwaite , Sandra Eibenberger , David Patterson , Michael C. McCarthy

We study an improved method for detecting gravitational wave (GW) signals from perturbed black holes by earth-based detectors in the quest for searching for intermediate-mass black holes (IMBHs). Such signals, called ringdowns, are damped…

General Relativity and Quantum Cosmology · Physics 2013-12-16 Dipongkar Talukder , Sukanta Bose , Sarah Caudill , Paul T. Baker

In the last few decades, several wearable devices have been designed to monitor respiration rate in an effort to capture pulmonary signals with higher accuracy and reduce patients' discomfort during use. In this article, we present the…

Signal Processing · Electrical Eng. & Systems 2024-12-10 Bardia Baraeinejad , Maryam Forouzesh , Saba Babaei , Yasin Naghshbandi , Yasaman Torabi , Shabnam Fazliani

With the increasing intelligence and integration, a great number of two-valued variables (generally stored in the form of 0 or 1 value) often exist in large-scale industrial processes. However, these variables cannot be effectively handled…

Methodology · Statistics 2022-01-26 Min Wang , Li Sheng , Donghua Zhou , Maoyin Chen