Results 171 to 180 of about 4,260,860 (287)

HSD-Net: a dual-branch CNN-BiLSTM network with hybrid cepstral fusion for heart sound classification. [PDF]

Front Med Technol
Hua C, Tian Y, Li L, Zhou X.
europepmc   +1 more source

Classification of Heart Sounds with Deep Learning

, 2018
Health care is becoming more and more digitalized and examinations of patients from a distance are closer to reality than fiction. One of these examinations would be to automatically classify a patient-recorded audiosegment of its heartbeats as healthy or pathological.
openaire   +1 more source

Precision therapies for genetic epilepsies in 2025: Promises and pitfalls

Epilepsia Open, EarlyView.
Abstract By targeting the underlying etiology, precision therapies offer an exciting paradigm shift to improve the stagnant outcomes of drug‐resistant epilepsies, including developmental and epileptic encephalopathies. Unlike conventional antiseizure medications (ASMs) which only treat the symptoms (seizures) but have no effect on the underlying ...
Shuyu Wang, Emilio Perucca, Samuel F. Berkovic, Piero Perucca   +3 more
wiley   +1 more source

TriFusion-PCGNet: A Hybrid Multi-Branch Deep Learning Network for Energy-Aware Normal/Abnormal Heart Sound Classification. [PDF]

Life (Basel)
Çakmak T, Mirzaoğlu Ç, Demir M, Demir F.   +3 more
europepmc   +1 more source

A Robust and Real-Time Capable Envelope-Based Algorithm for Heart Sound Classification: Validation under Different Physiological Conditions. [PDF]

Sensors (Basel), 2020
Thalmayer A, Zeising S, Fischer G, Kirchner J.   +3 more
europepmc   +1 more source

Optimal Lithium‐Ion Battery—Supercapacitor Energy Storage System Capacity for Off‐Grid Intermittent Renewable Energy Mini‐Grids

Energy Science &Engineering, EarlyView.
Deployment of an aging‐based controller during designing of optimal lithium‐ion battery—supercapacitor (LB‐Sc) hybrid energy storage system (HESS) capacity, in off‐grid IREMGs, improves performance of the LB and reduces its aging rate. Also, annualised cost of the LB‐Sc HESS improves by 33.15% in relation to optimal LB SESS.
Isaac Gwayi, Cuthbert Z. M. Kimambo, Sarah Paul Ayeng'o   +2 more
wiley   +1 more source

Prior-aligned frequency-domain explanations for heart sound classification: a scale-consistent attribution approach. [PDF]

Front Artif Intell
Sun Q, Li Y, Javadov A, Wu X, Schuller BW.   +4 more
europepmc   +1 more source

Classification of heart sound signals with Whisper model

Connection Science
Maryam Alotaibi, Yakoub Bazi, Mohamad Mahmoud Al Rahhal, Nassim Ammour, Mansour Zuair   +4 more
openaire   +2 more sources

Trendelenburg positioning with or without norepinephrine infusion for haemodynamic support in anaesthetised hypovolemic horses

Equine Veterinary Journal, EarlyView.
Abstract Background Intraoperative haemorrhage during equine anaesthesia is a rare but potentially fatal complication requiring prompt haemodynamic support. Postural manoeuvres such as Trendelenburg (TL) positioning and vasopressor support augment venous return and improve cardiac output (CO), yet their efficacy in anaesthetised hypovolemic horses ...
Vaidehi V. Paranjape, Klaus Hopster, Ismar Lutvikadic, Bernd Driessen   +3 more
wiley   +1 more source

DTF-STCANet: A Dual Time-Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification. [PDF]

Diagnostics (Basel)
Bilen MN, Çelik FM, Kobat MA, Demir F.
europepmc   +1 more source