Results 31 to 40 of about 1,623 (161)
Small computer board platforms, such as Arduino, Raspberry Pi, and micro: bit are very common, cheap, and useful tools to teach modern technology, coding, and experimenting in different disciplines at various levels. Due to the huge available information
Zoltan Gingl +4 more
doaj +1 more source
Aim. To evaluate the sensitivity and specificity of a phonocardiography-based method for diagnosing fetal hypoxia using the FetaCare software and hardware complex. Materials and Methods.
E. S. Repina +3 more
doaj +1 more source
Study of innocent murmurs in children by intracardiac phonocardiography
Innocent murmurs in children occur sufficiently frequently to make their accurate diagnosis of prime importance to the pediatrician, general practitioner and cardiologist.
Ali Ertuğrul
doaj +1 more source
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
Background During the cardiac cycle, the heart normally produces repeatable physiological sounds. However, under pathologic conditions, such as with heart valve stenosis or a ventricular septal defect, blood flow turbulence leads to the production of ...
Ali Akbari Mohammad +6 more
doaj +1 more source
This study proposes a non‐invasive approach for coronary artery disease (CAD) screening by analyzing diastolic heart sounds using an Empirical Wavelet Transform (EWT). Spectral energies e(2) and e(3) were identified as sensitive indicators of left anterior descending artery (LAD) stenosis severity.
Haixia Li +5 more
wiley +1 more source
Internet of Medical Things‐Driven Deep Learning Approach for Automated Heart Sound Classification
The Internet of Medical Things (IoMT) has emerged as a transformative force in healthcare, enabling the development of innovative and noninvasive diagnostic tools that leverage connected technologies. This research focuses on the application of IoMT in conjunction with deep learning techniques to detect and classify heart diseases through the analysis ...
Muhammad Sajid +8 more
wiley +1 more source
Wavelet-based fundamental heart sound recognition method using morphological and interval features
Accurate and reliable recognition of fundamental heart sounds (FHSs) plays a significant role in automated analysis of heart sound (HS) patterns. This Letter presents an automated wavelet-based FHS recognition (WFHSR) method using morphological and ...
V. Nivitha Varghees +2 more
doaj +1 more source
Compound‐Eye RF Vision for Next‐Generation Biomedical and Human‐Centred Radar Sensing
This paper will first review recent biomedical radar‐enabled advancements at the human–microwave frontier, including physiological signal sensing, non‐contact human–computer interfaces, driving behaviour recognition, human tracking, and early‐stage clinical studies.
Victor G. Rizzi Varela, Changzhi Li
wiley +1 more source
Classic Murmur, Unexpected Diagnosis: A Case Report and Pathophysiological Review
A systolic murmur best heard at the aortic area with radiation to the neck is considered a hallmark of aortic stenosis. We report a patient with this auscultatory pattern in whom investigation revealed an unexpected diagnosis. Accompanying symptoms reinforced the initial suspicion, adding another layer of complexity to the diagnostic process. This case
José Maria Gonçalves Fernandes +7 more
wiley +1 more source

