Results 111 to 120 of about 5,008 (218)

Towards Wide Learning: Experiments in Healthcare [PDF]

arXiv, 2016
In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline. Feature engineering is widely considered as the most time consuming and expert knowledge demanding portion of any ML task.
arxiv  

Ensemble Voting Method for Phonocardiogram Heart Signal Classification Using FFT Features

Journal of Applied Informatics and Computing
Heart disease is still one of the leading causes of death worldwide, hence the need for effective diagnostic tools. Phonocardiogram (PCG) signals have been explored as a complementary approach to electrocardiogram (ECG) to detect cardiac abnormalities ...
Adisaputra Zidha Noorizki, Heri Pratikno, Weny Indah Kusumawati   +2 more
doaj   +1 more source

Simple Calibrated Phonocardiography [PDF]

, 1950
Not ...
Ramage, John H
core  

Fog-Enabled Multimodal Chest-Worn Device for Systolic Blood Pressure Monitoring

IEEE Access
This paper presents a Fog-enabled chest-worn device for estimating systolic blood pressure (SBP). The device integrates two sensors that simultaneously detect the phonocardiogram (PCG), ballistocardiogram (BCG), and seismocardiogram (SCG) from a single ...
Pamela Salas, Jose-Manuel Mejia-Munoz, Rafael Gonzalez-Landaeta   +2 more
doaj   +1 more source

Class Augmented Semi-Supervised Learning for Practical Clinical Analytics on Physiological Signals [PDF]

arXiv, 2018
Computational analysis on physiological signals would provide immense impact for enabling automated clinical analytics. However, the class imbalance issue where negative or minority class instances are rare in number impairs the robustness of the practical solution.
arxiv  

Phonocardiogram of the ball-and-cage aortic valve prosthesis. [PDF]

, 1967
Mohamed Abdeldayem, E. B. Raftery
openalex   +1 more source

ADDITIONAL PULMONARY VALVE CLOSURE CAUSED BY THE CATHETER AND DEMONSTRATED BY THE INTRACARDIAC PHONOCARDIOGRAM [PDF]

, 1964
Leon Resnekov, Jane Somerville
openalex   +1 more source

Model-driven Heart Rate Estimation and Heart Murmur Detection based on Phonocardiogram [PDF]

arXiv
Acoustic signals are crucial for health monitoring, particularly heart sounds which provide essential data like heart rate and detect cardiac anomalies such as murmurs. This study utilizes a publicly available phonocardiogram (PCG) dataset to estimate heart rate using model-driven methods and extends the best-performing model to a multi-task learning ...
arxiv  

Real-time PCG Anomaly Detection by Adaptive 1D Convolutional Neural Networks [PDF]

arXiv, 2019
The heart sound signals (Phonocardiogram - PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnostic test in outpatient monitoring to assess heart hemodynamic status. The need for an automated and accurate anomaly detection method for PCG has thus become imminent.
arxiv  

Multidimensional Analytical Study of Heart Sounds: A Review [PDF]

International Journal Bioautomation, 2015
Heart diagnosis by phonocardiography and auscultation is highly dependent on experience and there is a considerable inter-observer variation. The complex structure of the Phonocardiogram (PCG) and the variations due to cardiac contractility can generate ...
Akash Kumar Bhoi, Karma Sonam Sherpa, Bidita Khandelwal   +2 more
doaj