Results 41 to 50 of about 22,680 (257)
Voice activity detection in the presence of transient based on graph
Voice activity detection remains a significant challenge in the presence of transients since transients are more dominant than speech, though it has achieved satisfactory performance in quasi-stationary noisy environments.
Xiao-Yuan Guo, Chun-Xian Gao, Hui Liu
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus
Objective Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined the following: (1) associations between economic insecurities and PROs, and (2) the impact of screening and addressing economic ...
Jay Patel +8 more
wiley +1 more source
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley +1 more source
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
Particle Filter with Integrated Voice Activity Detection for Acoustic Source Tracking
In noisy and reverberant environments, the problem of acoustic source localisation and tracking (ASLT) using an array of microphones presents a number of challenging difficulties.
Lehmann Eric A, Johansson Anders M
doaj +2 more sources
In this article, a new adaptive data-driven strategy for voice activity detection (VAD) using empirical mode decomposition (EMD) is proposed. Speech data are decomposed using an a posteriori, adaptive, data-driven EMD in the time domain to yield a set of
Rudramurthy M.S. +2 more
doaj +1 more source
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source
Voice Activity Detection and Pitch analysis in Pathological Voices [PDF]
This paper presents the voice activity detection VAD using basic parameters. The voice is found to have hoarseness in case of thyroid and laryngeal cancer patients. It is useful for the better analysis of pathological voices in presence of background noise.
Mr. G.B. Gour, Dr. V. Udayashankara
openaire +2 more sources
Geometrical modifications on nitrocellulose membranes can result in observable differences in signal intensity relative to a reference membrane (top and bottom left). Using two reference experiments, we have developed a theoretical model that can reproduce the experimentally observed flow changes and provide information on membrane parameters, e.g ...
Maria Dimaki +2 more
wiley +1 more source

