Neural network based feature extraction scheme for heart rate variability

1995 ◽  
Author(s):  
Ben Raymond ◽  
Doraisamy Nandagopal ◽  
Jagan Mazumdar ◽  
D. Taverner
Keyword(s):  
Neural Network ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Feature Extraction ◽  
Extraction Scheme

scholarly journals Heart Rate Variability using Neural Network

2017 ◽  
Vol 10 (13) ◽  
pp. 1-5
Author(s):  
Munish Suri ◽  
Eshaan Verma ◽  
◽  
Keyword(s):  
Neural Network ◽  
Heart Rate ◽  
Heart Rate Variability

scholarly journals Neural network analysis of heart rhythm variability for diagnosis of immobilization syndrome and objectivization of effectiveness of early rehabilitation

2020 ◽  
Vol 23 (1) ◽  
pp. 9-17
Author(s):  
Julia Yu. Nekrasova ◽  
D. S. Yankevich ◽  
М. М. Kanarsky ◽  
A. S. Markov
Keyword(s):  
Neural Network ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Intensive Care ◽  
Network Analysis ◽  
Heart Rhythm ◽  
Neural Network Analysis ◽  
Heart Rhythm Variability ◽  
Post Intensive Care Syndrome

The article discusses the use of a neural network analysis of heart rate variability for the diagnosis of immobilization syndrome and post-intensive care syndrome (PICS) in patients with disorders of consciousness for monitoring the quality of the rehabilitation process. It is shown that there are statistical differences between the curves characterizing the heart rate variability of healthy patients and patients with impaired consciousness. The use of a neural network allows to automatically evaluate the severity of the immobilization syndrome and Post Intensive Care Syndrome, as well as the effectiveness of measures for their prevention and the overall quality of the work of medical personnel.

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