Multi-modal bioelectrical signal fusion analysis based on different acquisition devices and scene settings: Overview, challenges, and novel orientation
J Li, Q Wang - Information Fusion, 2022 - Elsevier
Multi-modal fusion combines multiple modal information to overcome the limitation of
incomplete information expressed by a single modality, so as to realize the complementarity …
incomplete information expressed by a single modality, so as to realize the complementarity …
Multiple physiological signals fusion techniques for improving heartbeat detection: A review
This paper presents a review of the techniques found in the literature that aim to achieve a
robust heartbeat detection from fusing multi-modal physiological signals (eg …
robust heartbeat detection from fusing multi-modal physiological signals (eg …
The design of digital heart rate meter using microcontroller
TP Tunggal, SA Juliani, HA Widodo… - Journal of Robotics …, 2020 - journal.umy.ac.id
Cardiac tests generally use an electrocardiograph, the results of which are used by medical
teams to diagnose heart conditions. Individual ECG examination is held in a health care …
teams to diagnose heart conditions. Individual ECG examination is held in a health care …
Signal analysis of electrocardiogram and statistical evaluation of myocardial enzyme in the diagnosis and treatment of patients with pneumonia
Z Li, X Li, Z Zhu, S Zeng, Y Wang, Y Wang, A Li - IEEE access, 2019 - ieeexplore.ieee.org
Pneumonia is a common disease in patients. This paper discusses the signal processing
techniques of electrocardiogram (ECG) and the statistical analysis of myocardial enzymes in …
techniques of electrocardiogram (ECG) and the statistical analysis of myocardial enzymes in …
Advancing artificial intelligence in sensors, signals, and imaging informatics
Objective: To identify research works that exemplify recent developments in the field of
sensors, signals, and imaging informatics. Method: A broad literature search was conducted …
sensors, signals, and imaging informatics. Method: A broad literature search was conducted …
Hidden Markov model-based heartbeat detector using electrocardiogram and arterial pressure signals
The automatic detection of a heartbeat is commonly performed by detecting the QRS
complex in the electrocardiogram (ECG), however, various noise sources and missing data …
complex in the electrocardiogram (ECG), however, various noise sources and missing data …
Joint exploitation of hemodynamic and electrocardiographic signals by hidden Markov models for heartbeat detection
The detection of heartbeats is a fundamental task in the diagnosis of cardiovascular
diseases. In a clinical setting, heartbeats are commonly detected from the …
diseases. In a clinical setting, heartbeats are commonly detected from the …
Classificação automática do registro do ECG de 12 derivações em aceitável ou inaceitável para laudo médico em sistemas reais de telecardiologia: redução de …
JL de Moraes - 2023 - repositorio.ufmg.br
Doenças cardiovasculares são consideradas a principal causa de morte no mundo, com 17,
9 milhões de mortes em 2019, e com estimativa de 22, 2 milhões de mortes em 2030 …
9 milhões de mortes em 2019, e com estimativa de 22, 2 milhões de mortes em 2030 …