Applied Sciences, 2020 Currently, there are many works in the literature focused on the analysis of heart sounds, specifically on the development of intelligent systems for the classification of normal and abnormal heart sounds. However, the available heart sound databases are
Pedro Narváez, Winston S. Percybrooks
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Health Monitoring via Heart, Breath, and Korotkoff Sounds by Wearable Piezoelectret Patches
Advanced Science, 2023 Real‐time monitoring of vital sounds from cardiovascular and respiratory systems via wearable devices together with modern data analysis schemes have the potential to reveal a variety of health conditions. Here, a flexible piezoelectret sensing system is
Liuyang Han +6 more
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Classification of Heart Sounds Using Convolutional Neural Network
Applied Sciences, 2020 Heart sounds play an important role in the diagnosis of cardiac conditions. Due to the low signal-to-noise ratio (SNR), it is problematic and time-consuming for experts to discriminate different kinds of heart sounds.
Fan Li +4 more
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ON THE CLINICAL STUDY OF THE HEART SOUNDS. [PDF]
JAMA: The Journal of the American Medical Association, 1884 Read to the Section on Practice of Medicine and Materia Medica, of Am. Med. Association, May, 1884. The volume of the transactions of the American Medical Association for 1858, contains a prize essay by me on the "Clinical Study of the Heart-Sounds in Health and Disease." The term heart-sounds in this essay, used in its conventional sense, was limited
Dingke Chen +8 more
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Classification of Heart Sounds Using Chaogram Transform and Deep Convolutional Neural Network Transfer Learning. [PDF]
Sensors (Basel), 2022 Heart sounds convey important information regarding potential heart diseases. Currently, heart sound classification attracts many researchers from the fields of telemedicine, digital signal processing, and machine learning—among others—mainly to identify
Harimi A +6 more
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Deep Learning Methods for Heart Sounds Classification: A Systematic Review. [PDF]
Entropy (Basel), 2021 The automated classification of heart sounds plays a significant role in the diagnosis of cardiovascular diseases (CVDs). With the recent introduction of medical big data and artificial intelligence technology, there has been an increased focus on the ...
Chen W +5 more
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The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach. [PDF]
Sensors (Basel), 2022 Deep learning techniques are the future trend for designing heart sound classification methods, making conventional heart sound segmentation dispensable.
Bao X, Xu Y, Kamavuako EN.
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A Novel Broadband Forcecardiography Sensor for Simultaneous Monitoring of Respiration, Infrasonic Cardiac Vibrations and Heart Sounds. [PDF]
Front Physiol, 2021 The precordial mechanical vibrations generated by cardiac contractions have a rich frequency spectrum. While the lowest frequencies can be palpated, the higher infrasonic frequencies are usually captured by the seismocardiogram (SCG) signal and the ...
Andreozzi E +3 more
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A two-stage amplified PZT sensor for monitoring lung and heart sounds in discharged pneumonia patients. [PDF]
Microsyst Nanoeng, 2021 Assessment of lung and heart states is of critical importance for patients with pneumonia. In this study, we present a small-sized and ultrasensitive accelerometer for continuous monitoring of lung and heart sounds to evaluate the lung and heart states ...
Chen H +9 more
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A dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals. [PDF]
Sci Data, 2020 Radar systems allow for contactless measurements of vital signs such as heart sounds, the pulse signal, and respiration. This approach is able to tackle crucial disadvantages of state-of-the-art monitoring devices such as the need for permanent wiring ...
Shi K +8 more
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