[HTML][HTML] Information fusion and artificial intelligence for smart healthcare: a bibliometric study
With the fast progress in information technologies and artificial intelligence (AI), smart
healthcare has gained considerable momentum. By using advanced technologies like AI …
healthcare has gained considerable momentum. By using advanced technologies like AI …
Toward a robust estimation of respiratory rate from pulse oximeters
Goal: Current methods for estimating respiratory rate (RR) from the photoplethysmogram
(PPG) typically fail to distinguish between periods of high-and low-quality input data, and fail …
(PPG) typically fail to distinguish between periods of high-and low-quality input data, and fail …
A review of methods for the signal quality assessment to improve reliability of heart rate and blood pressures derived parameters
The assessment of signal quality has been a research topic since the late 1970s, as it is
mainly related to the problem of false alarms in bedside monitors in the intensive care unit …
mainly related to the problem of false alarms in bedside monitors in the intensive care unit …
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 …
Robust heartbeat detection from multimodal data via CNN-based generalizable information fusion
Objective: Heartbeat detection remains central to cardiac disease diagnosis and
management, and is traditionally performed based on electrocardiogram (ECG). To improve …
management, and is traditionally performed based on electrocardiogram (ECG). To improve …
Control synthesis of hidden semi-Markov uncertain fuzzy systems via observations of hidden modes
This paper investigates the stability analysis and fuzzy control problems for a class of
discrete-time fuzzy systems with hidden semi-Markov stochastic uncertainties. The nonlinear …
discrete-time fuzzy systems with hidden semi-Markov stochastic uncertainties. The nonlinear …
A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography
DA Birrenkott, MAF Pimentel… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Objective: Respiratory rate (RR) estimation algorithms based on the photoplethymogram
(PPG) and electrocardiogram (ECG) lack clinical robustness. This is because the PPG and …
(PPG) and electrocardiogram (ECG) lack clinical robustness. This is because the PPG and …
Accelerometry-based estimation of respiratory rate for post-intensive care patient monitoring
This paper evaluates the use of accelerometers for continuous monitoring of respiratory rate
(RR), which is an important vital sign in post-intensive care patients or those inside the …
(RR), which is an important vital sign in post-intensive care patients or those inside the …
Non-invasive fetal ECG signal quality assessment for multichannel heart rate estimation
Objective: The noninvasive fetal ECG (NIFECG) from abdominal recordings offers novel
prospects for prenatal monitoring. However, NI-FECG signals are corrupted by various …
prospects for prenatal monitoring. However, NI-FECG signals are corrupted by various …
Reduction of false arrhythmia alarms using signal selection and machine learning
In this paper, we propose an algorithm that classifies whether a generated cardiac
arrhythmia alarm is true or false. The large number of false alarms in intensive care is a …
arrhythmia alarm is true or false. The large number of false alarms in intensive care is a …