Machine learning and iot applied to cardiovascular diseases identification through heart sounds: A literature review
This article presents a systematic mapping study dedicated to conduct a literature review on
machine learning and IoT applied in the identification of diseases through heart sounds …
machine learning and IoT applied in the identification of diseases through heart sounds …
Feature-based fusion using CNN for lung and heart sound classification
Lung or heart sound classification is challenging due to the complex nature of audio data, its
dynamic properties of time, and frequency domains. It is also very difficult to detect lung or …
dynamic properties of time, and frequency domains. It is also very difficult to detect lung or …
A systematic review on the roles of remote diagnosis in telemedicine system: Coherent taxonomy, insights, recommendations, and open research directions for …
SS Mohsin, OH Salman, AA Jasim… - Artificial Intelligence in …, 2024 - Elsevier
Background The term 'remote diagnosis' in telemedicine describes the procedure wherein
medical practitioners diagnose patients remotely by using telecommunications technology …
medical practitioners diagnose patients remotely by using telecommunications technology …
Numerical analysis of a highly sensitive surface plasmon resonance sensor for SARS-CoV-2 detection
In this paper, we propose a surface plasmon resonance (SPR) structure based on
Kretschmann configuration incorporating layers of silicon and BaTiO3 on top of Ag for real …
Kretschmann configuration incorporating layers of silicon and BaTiO3 on top of Ag for real …
Design and optimization of MEMS heart sound sensor based on bionic structure
J Cui, Y Li, Y Yang, P Shi, B Wang, S Wang… - Sensors and Actuators A …, 2022 - Elsevier
Based on the sound pickup mechanism of the three-dimensional ciliary bundle structure of
human ear hair cells, this paper proposed a bionic MEMS heart sound sensor. First, the …
human ear hair cells, this paper proposed a bionic MEMS heart sound sensor. First, the …
LEPCNet: A lightweight end-to-end PCG classification neural network model for wearable devices
Wearable intelligent phonocardiogram (PCG) sensors provide a noninvasive method for
long-term monitoring of cardiac status, which is crucial for the early detection of …
long-term monitoring of cardiac status, which is crucial for the early detection of …
Design and realization of MEMS heart sound sensor with concave, racket-shaped cilium
Y Yang, B Wang, J Cui, G Zhang, R Wang, W Zhang… - Biosensors, 2022 - mdpi.com
The biomedical acoustic signal plays an important role in clinical non-invasive diagnosis. In
view of the deficiencies in early diagnosis of cardiovascular diseases, acoustic properties of …
view of the deficiencies in early diagnosis of cardiovascular diseases, acoustic properties of …
Design and fabrication of an integrated hollow concave cilium MEMS cardiac sound sensor
B Wang, P Shi, Y Yang, J Cui, G Zhang, R Wang… - Micromachines, 2022 - mdpi.com
In light of a need for low-frequency, high sensitivity and broadband cardiac murmur signal
detection, the present work puts forward an integrated MEMS-based heart sound sensor …
detection, the present work puts forward an integrated MEMS-based heart sound sensor …
Design and verification of magnetic-induction electronic stethoscope based on MEMS technology
Y Li, P Shi, Y Yang, J Cui, G Zhang, S Duan - Sensors and Actuators A …, 2021 - Elsevier
A magnetic-induction electronic stethoscope based on MEMS technology is proposed in this
paper. The stethoscope, based on MEMS technology, combines the bionic principle …
paper. The stethoscope, based on MEMS technology, combines the bionic principle …
Robust single finger movement detection scheme for real time wheelchair control by physically challenged people
SS Chowdhury, R Hyder, C Shahanaz… - 2017 IEEE Region 10 …, 2017 - ieeexplore.ieee.org
With the proliferation of human-computer interfaces that rely on user gestures, there exists a
real opportunity to develop systems to ease the lives of disabled as well as normal people …
real opportunity to develop systems to ease the lives of disabled as well as normal people …