Results 71 to 80 of about 117,644 (297)
The accurate and early detection of respiratory diseases is vital for effective diagnosis and treatment. This study presents a new approach for classifying lung sounds using a double denoising method combined with a 1D Convolutional Neural Network (CNN).
Reshma Sreejith +3 more
doaj +1 more source
Using K-Nearest Neighbor Classification to Diagnose Abnormal Lung Sounds
A reported 30% of people worldwide have abnormal lung sounds, including crackles, rhonchi, and wheezes. To date, the traditional stethoscope remains the most popular tool used by physicians to diagnose such abnormal lung sounds, however, many problems ...
Chin-Hsing Chen +4 more
doaj +1 more source
Pauses and the temporal structure of speech [PDF]
Natural-sounding speech synthesis requires close control over the temporal structure of the speech flow. This includes a full predictive scheme for the durational structure and in particuliar the prolongation of final syllables of lexemes as well as for ...
Zellner, Brigitte
core +1 more source
Automatic wheeze detection based on auditory modelling [PDF]
Automatic wheeze detection has several potential benefits compared with reliance on human auscultation: it is experience independent, an automated historical record can easily be kept, and it allows quantification of wheeze severity. Previous attempts to
A R Whittaker +9 more
core +1 more source
Consumed by Abdominal Distention
Arthritis Care &Research, EarlyView.
Abimbola Fadairo‐Azinge +3 more
wiley +1 more source
A dual‐targeting strategy to rejuvenate aged tendons. A reactive oxygen species (ROS)‐responsive hydrogel co‐delivers a selenium nanozyme (scavenges ROS) and a STING inhibitor to tendon stem cells. This combined action restores mitochondria–nucleus communication, alleviates cellular senescence, and rejuvenates tendon regeneration, offering a novel ...
Zhuo Zhang +11 more
wiley +1 more source
Magneto‐X Effects in Magnetic Soft Materials and Their Applications
This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang +5 more
wiley +1 more source
Cross-linguistic study of vocal pathology: perceptual features of spasmodic dysphonia in French-speaking subjects [PDF]
Clinical characterisation of Spasmodic Dysphonia of the adductor type (SD) in French speakers by Klap and colleagues (1993) appears to differ from that of SD in English. This perceptual analysis aims to describe the phonetic features of French SD.
BRIN M. F. +12 more
core +1 more source
Heart Sound Detection In Respiratory Sound Using Hidden Markov Model
Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco ...
SHAMSİ, HAMED, ÖZBEK, İbrahim Yücel
openaire +2 more sources
This retrospective study identified low preoperative psoas muscle volume, measured by computed tomography, as an independent predictor of postoperative complications in patients undergoing emergency surgery for strangulated small bowel obstruction. Low psoas muscle volume, particularly in older adults, was associated with cardiopulmonary and systemic ...
Takuya Shiraishi +9 more
wiley +1 more source

