Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic
Coronavirus disease 2019 (COVID-19) has emerged as a pandemic with serious clinical
manifestations including death. A pandemic at the large-scale like COVID-19 places …
manifestations including death. A pandemic at the large-scale like COVID-19 places …
Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring
Cardiovascular diseases (CVDs) are a leading cause of death worldwide. For early
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …
Ecg heartbeat classification: A deep transferable representation
Electrocardiogram (ECG) can be reliably used as a measure to monitor the functionality of
the cardiovascular system. Recently, there has been a great attention towards accurate …
the cardiovascular system. Recently, there has been a great attention towards accurate …
A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals
J Esmaelpoor, MH Moradi… - Computers in Biology …, 2020 - Elsevier
Objective Easy access bio-signals are useful to alleviate the shortcomings and difficulties of
cuff-based and invasive blood pressure (BP) measuring techniques. This study proposes a …
cuff-based and invasive blood pressure (BP) measuring techniques. This study proposes a …
Noninvasive continuous blood pressure estimation from pulse transit time: A review of the calibration models
Noninvasive continuous blood pressure estimation is a promising alternative to minimally
invasive blood pressure measurement using cuff and invasive catheter measurement …
invasive blood pressure measurement using cuff and invasive catheter measurement …
Patient specific machine learning models for ECG signal classification
SK Pandey, RR Janghel, V Vani - Procedia Computer Science, 2020 - Elsevier
Arrhythmia is one of the major cause of deaths across the globe. Almost 17.9 million deaths
are caused due to cardiovascular diseases. In order to reduce this much mortality rate, the …
are caused due to cardiovascular diseases. In order to reduce this much mortality rate, the …
A non-invasive continuous cuffless blood pressure estimation using dynamic recurrent neural networks
Cardiovascular diseases (CVD) have become the most important health problem of our time.
High blood pressure, which is cardiovascular disease, is a risk factor for death, stroke, and …
High blood pressure, which is cardiovascular disease, is a risk factor for death, stroke, and …
ECG heartbeat arrhythmia classification using time-series augmented signals and deep learning approach
Electrocardiogram (ECG) signals are the best way to monitor the functionality and health of
the cardiovascular system and also identify ailments related to it. Abnormal heartbeats are …
the cardiovascular system and also identify ailments related to it. Abnormal heartbeats are …
Cuff-less blood pressure monitoring system using smartphones
Recently, smartphones with mobile health applications have become promising tools in the
healthcare industry due to their convenience, ubiquity for patients, and the ability to gather …
healthcare industry due to their convenience, ubiquity for patients, and the ability to gather …
IMSF-Net: An improved multi-scale information fusion network for PPG-based blood pressure estimation
D Wang, Y Ye, B Zhang, J Sun, C Zhang - Biomedical Signal Processing …, 2024 - Elsevier
Recently, deep learning (DL) architectures have been widely used for PPG-based blood
pressure (BP) monitoring due to their powerful feature extraction ability. However, the DL …
pressure (BP) monitoring due to their powerful feature extraction ability. However, the DL …