Results 131 to 140 of about 58,764 (300)

Ectopic thyroid carcinoma in the left atrium in a horse

open access: yesEquine Veterinary Education, EarlyView.
Summary A 25‐year‐old Irish sport horse was presented for investigation of a 7‐day history of apathy and lethargy. Clinical examination revealed tachycardia, tachypnoea, distended, pulsating jugular veins and ventral oedema. Serum biochemistry showed azotaemia.
N. Wolf   +4 more
wiley   +1 more source

Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution [PDF]

open access: yes, 2003
Heart sounds and murmurs are time-varying signals that would best be analyzed using time-frequency analysis. Windowed Wigner-Ville distribution (WWVD) and smooth windowed Wigner-Ville distribution (SWWVD) are used to obtain the timefiequency ...
Daliman, Shaparas, Sha'ameri, Ahmad Zuri
core  

Heart rate variability in horses with and without severe equine asthma

open access: yesEquine Veterinary Journal, Volume 57, Issue 3, Page 611-618, May 2025.
Abstract Background Equine asthma in severe form (severe equine asthma [sEA]) shares remarkable similarities with human asthma. Human studies detected changes in the autonomic nervous system function in asthmatic patients based on heart rate variability (HRV) analysis. Study design Observational study. Objectives To investigate the relationship between
Zsófia Nyerges‐Bohák   +5 more
wiley   +1 more source

Effects of vatinoxan on gastrointestinal motility, sedation, and antinociception during and after long‐lasting detomidine infusion in horses

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Sedation in horses is typically achieved using alpha‐2 adrenoceptor agonists, although their use is associated with multiple side effects. A peripheral alpha‐2 adrenoceptor antagonist, vatinoxan, can alleviate many of these. Objectives To evaluate the effects of vatinoxan infusion on gastrointestinal motility, sedation, and ...
Bartlomiej Obrochta   +7 more
wiley   +1 more source

Volume kinetics of lactated Ringer's solution in adult horses

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Fluid therapy in horses is primarily empirical. Evidence‐based quantification of the disposition of intravenous (IV) crystalloids used in clinical practice could enhance the effectiveness of fluid therapy. Objectives To determine the pharmacokinetics (i.e., volume kinetics: VK) and associated haemodynamic effects of IV lactated ...
William W. Muir   +3 more
wiley   +1 more source

HSDreport: Heart Sound Diagnosis with Echocardiography Reports [PDF]

open access: yesarXiv
Heart sound auscultation holds significant importance in the diagnosis of congenital heart disease. However, existing methods for Heart Sound Diagnosis (HSD) tasks are predominantly limited to a few fixed categories, framing the HSD task as a rigid classification problem that does not fully align with medical practice and offers only limited ...
arxiv  

Unplanned Cesarean for Abnormal or Indeterminate Fetal Heart Tracing Varies Significantly by Race and Ethnicity

open access: yesJournal of Midwifery &Women's Health, Volume 70, Issue 2, Page 279-291, March/April 2025.
Introduction The US maternity care system achieves worse outcomes for birthing people identifying as Black versus White. Assessment of fetal well‐being in labor is an area of perinatal care subject to significant interobserver variability and therefore may be at particular risk of medical racism influencing care. Methods Statewide collaborative quality
Elizabeth Langen   +4 more
wiley   +1 more source

Foundation Model Hidden Representations for Heart Rate Estimation from Auscultation [PDF]

open access: yesarXiv
Auscultation, particularly heart sound, is a non-invasive technique that provides essential vital sign information. Recently, self-supervised acoustic representation foundation models (FMs) have been proposed to offer insights into acoustics-based vital signs.
arxiv  

Recognizing Abnormal Heart Sounds Using Deep Learning [PDF]

open access: yesarXiv, 2017
The work presented here applies deep learning to the task of automated cardiac auscultation, i.e. recognizing abnormalities in heart sounds. We describe an automated heart sound classification algorithm that combines the use of time-frequency heat map representations with a deep convolutional neural network (CNN).
arxiv  

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