ECG Based Early Heart Attack Prediction Using Neural Networks
In today's world, a large amount of data is being collected every minute. This data came from
different sources: health care, social media, business applications, manufacturing industries …
different sources: health care, social media, business applications, manufacturing industries …
Digital health and machine learning technologies for blood glucose monitoring and management of gestational diabetes
Innovations in digital health and machine learning are changing the path of clinical health
and care. People from different geographical locations and cultural backgrounds can benefit …
and care. People from different geographical locations and cultural backgrounds can benefit …
Fetal Heart Rate Preprocessing Techniques: A Scoping Review
Monitoring fetal heart rate (FHR) through cardiotocography is crucial for the early diagnosis
of fetal distress situations, necessitating prompt obstetrical intervention. However, FHR …
of fetal distress situations, necessitating prompt obstetrical intervention. However, FHR …
Asw-net: Adaptive spectral wavelet network for accurate fetal ecg extraction
X Wang, Y Han, Y Deng - IEEE transactions on biomedical …, 2022 - ieeexplore.ieee.org
Noninvasive fetal ECG (FECG) is of great significance for monitoring fetal health. However, it
is challenging to extract FECG signals from the abdominal ECG signal (AECG) due to the …
is challenging to extract FECG signals from the abdominal ECG signal (AECG) due to the …
[HTML][HTML] Analysis on fetal phonocardiography segmentation problem by hybridized classifier
L Kong, K Barnova, R Jaros, S Mirjalili, V Snasel… - … Applications of Artificial …, 2024 - Elsevier
Fetal examinations are a significant and challenging field of healthcare. Cardiotocography is
the most commonly used method for monitoring fetal heart rate and uterine contractions. As …
the most commonly used method for monitoring fetal heart rate and uterine contractions. As …
Performance of using Mel-Frequency Cepstrum Based Features in Nonlinear Classifiers for Phonocardiography Recordings
Cardiovascular system diseases can be identified by using a specialized diagnostic process
utilizing a digital stethoscope. Digital stethoscopes provide phonocardiography (PCG) …
utilizing a digital stethoscope. Digital stethoscopes provide phonocardiography (PCG) …
Design and implementation of remote PCG (phonocardiography) system using audio exchange bus
This paper presents the implementation of a remote PCG (phonocardiography) System that
can play an instrumental role in significantly improve healthcare services in rural areas …
can play an instrumental role in significantly improve healthcare services in rural areas …
Extraction of Maternal and fetal ECG in a non-invasive way from abdominal ECG recordings using modified Progressive FastICA Peel-off
Y Li, X Luo, H Zhao, J Cui, Y She, D Li, L Jiang… - arXiv preprint arXiv …, 2024 - arxiv.org
The non-invasive abdominal electrocardiogram (AECG) gives a non-invasive way to monitor
fetal well-being during pregnancy. Due to the overlap with maternal ECG (MECG) as well as …
fetal well-being during pregnancy. Due to the overlap with maternal ECG (MECG) as well as …
On the Out-Of-Distribution Robustness of Self-Supervised Representation Learning for Phonocardiogram Signals
Objective: Despite the recent increase in research activity, deep-learning models have not
yet been widely accepted in medicine. The shortage of high-quality annotated data often …
yet been widely accepted in medicine. The shortage of high-quality annotated data often …
Improved fetal heartbeat detection using pitch shifting and psychoacoustics
I Vican, G Kreković, K Jambrošić - Biomedical Signal Processing and …, 2024 - Elsevier
Objective Fetal phonocardiography is a cost-effective and non-invasive method for
monitoring of fetal health. However, the captured signal is often too noisy and unstable for …
monitoring of fetal health. However, the captured signal is often too noisy and unstable for …