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SEPARATING SOURCES FROM SEQUENTIALLY ACQUIRED MIXTURES OF HEART SIGNALS [PDF]
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Coimbra, MT+5 more
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A system for heart sounds classification. [PDF]
The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases - one of the major causes of death around the globe - a concept of an electronic stethoscope equipped with an ...
Grzegorz Redlarski+2 more
doaj +1 more source
Fiber-optic breath sensors: A comparison study [PDF]
The paper presents a comparative study of three fiber optic sensors based on the fiber Bragg grating (FBG). The basic monitored parameter is the respiratory rate of the human body.
Fajkus, Marcel+2 more
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Commercially available digital stethoscopes can be used as a phonocardiograph to record heart sounds. However, procuring a costly digital stethoscope may not be possible under resource-limited conditions.
Himel Mondal+2 more
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Universal Arduino-based experimenting system to support teaching of natural sciences [PDF]
The rapid evolution of intelligent electronic devices makes information technology, computer science and electronics strongly related to the teaching of natural sciences.
Gingl, Zoltan+6 more
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Cardiorespiratory system monitoring using a developed acoustic sensor
This Letter proposes a wireless acoustic sensor for monitoring heartbeat and respiration rate based on phonocardiogram (PCG). The developed sensor comprises a processor, a transceiver which operates at industrial, scientific and medical band and the ...
Reza Abbasi-Kesbi+2 more
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Preliminary study: mobile phone as a phonocardiographic signal recorder [PDF]
The aim of this paper is to analyze the possibility of using a mobile phone with a voice recorder function as a phonocardiographic signal recorder. Test measurements were carried out by placing the phone at various points on the chest.
Michał Łuczyński
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A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation
Traditionally, abnormal heart sound classification is framed as a three-stage process. The first stage involves segmenting the phonocardiogram to detect fundamental heart sounds; after which features are extracted and classification is performed.
Denman, Simon+5 more
core +1 more source
Aortic pulse wave velocity measurement via heart sounds and impedance plethysmography
Full abstract in the ...
Hauschild, Sebastian+3 more
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Comparison of Hierarchical and Partitional Clustering in Multi-Source Phonocardiography [PDF]
Phonocardiography (PCG) has proved a valuable tool over the years to monitor the status of at-risk patients for some cardiovascular diseases. Its multi-source version, consisting of the simultaneous recording of multiple acoustic signals from different ...
Balestra, Gabriella+3 more
core +1 more source