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Sci Rep
January 2025
Laboratory of Pharmacology and Toxicology of Natural Products, Biological Sciences Institute, Federal University of Pará (UFPA), UFPA Campus Belém, Rua Augusto Corrêa No 01 Guamá, Belém, PA, CEP: 66075 - 110, Brazil.
The present study aimed to characterize the behavior and evaluate the electromyographic (EMG), electrocardiographic (ECG), and respiratory responses of Nile tilapia (Oreochromis niloticus) when exposed to different concentrations of Camphor (CPR) as a potential anaesthetic in immersion and recovery baths. The goal was to determine the impact of CPR on muscle, cardiac, and respiratory functions, and assess its suitability as an anesthetic for tilapia. Therefore, juvenile fish (38.
View Article and Find Full Text PDFACS Sens
January 2025
Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, Missouri 65409, United States.
Wearable sensors are increasingly being used as biosensors for health monitoring. Current wearable devices are large, heavy, invasive, skin irritants, or not continuous. Miniaturization was chosen to address these issues, using a femtosecond laser-conversion technique to fabricate miniaturized laser-induced graphene (LIG) sensor arrays on and encapsulated within a polyimide substrate.
View Article and Find Full Text PDFExpert Rev Med Devices
December 2024
Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Introduction: Traditional monitoring of athletes with cardiac symptoms is limited due to sport-specific considerations and the intermittent nature of symptoms. Some portable electrocardiogram (ECG) devices may have more diagnostic utility than traditional monitoring. Their accuracy, advantages, and limitations should be considered when a clinician is considering the most appropriate device for investigation of an athlete's symptoms.
View Article and Find Full Text PDFInt J Med Inform
December 2024
Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan; School of Medicine, Chang Gung University, Taoyuan, Taiwan; Division of Rheumatology, Allergy and Immunology, Chang Gung Memorial Hospital, Taoyuan, Taiwan. Electronic address:
Background: The 12-lead electrocardiogram (ECG) is an established modality for cardiovascular assessment. While deep learning algorithms have shown promising results for analyzing ECG data, the limited availability of labeled datasets hinders broader applications. Self-supervised learning can learn meaningful representations from the unlabeled data and transfer the knowledge to downstream tasks.
View Article and Find Full Text PDFVet Res Commun
November 2024
Department of Veterinary Sciences, University of Pisa, via Livornese, San Piero a Grado, Pisa, 56122, Italy.
A smartphone-based technology combining a digital stethoscope (DS) with simultaneous phonocardiography (PCG) and 1-lead electrocardiogram (ECG) is available. The aim of the present study was to evaluate the sensitivity and specificity of the DS for the detection of heart disease in cats considering transthoracic echocardiography as gold standard. The study is prospective and observational inlcuding 42 client-owned cats.
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