A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors
Over the past two decades, machine learning systems have been proliferating in the
healthcare industry domains, such as digital health, fitness tracking, patient monitoring, and …
healthcare industry domains, such as digital health, fitness tracking, patient monitoring, and …
A systematic review of machine learning and IoT applied to the prediction and monitoring of cardiovascular diseases
A Cuevas-Chavez, Y Hernandez, J Ortiz-Hernandez… - Healthcare, 2023 - mdpi.com
According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …
Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search
Floods are among the deadliest natural hazards for humans and the environment.
Identifying the most flood-susceptible areas is a fundamental step in the development of …
Identifying the most flood-susceptible areas is a fundamental step in the development of …
A shallow U-Net architecture for reliably predicting blood pressure (BP) from photoplethysmogram (PPG) and electrocardiogram (ECG) signals
Cardiovascular diseases are the most common causes of death around the world. To detect
and treat heart-related diseases, continuous blood pressure (BP) monitoring along with …
and treat heart-related diseases, continuous blood pressure (BP) monitoring along with …
A new deep learning framework based on blood pressure range constraint for continuous cuffless BP estimation
Y Chen, D Zhang, HR Karimi, C Deng, W Yin - Neural Networks, 2022 - Elsevier
Blood pressure (BP) is known as an indicator of human health status, and regular
measurement is helpful for early detection of cardiovascular diseases. Traditional …
measurement is helpful for early detection of cardiovascular diseases. Traditional …
Application of the group method of data handling (GMDH) approach for landslide susceptibility zonation using readily available spatial covariates
Landslide susceptibility (LS) mapping is an essential tool for landslide risk assessment. This
study aimed to provide a new approach with better performance for landslide mapping and …
study aimed to provide a new approach with better performance for landslide mapping and …
A PPG-based calibration-free cuffless blood pressure estimation method using cardiovascular dynamics
H Samimi, HR Dajani - Sensors, 2023 - mdpi.com
Traditional cuff-based sphygmomanometers for measuring blood pressure can be
uncomfortable and particularly unsuitable to use during sleep. A proposed alternative …
uncomfortable and particularly unsuitable to use during sleep. A proposed alternative …
[HTML][HTML] Spatial variability of soil water erosion: Comparing empirical and intelligent techniques
Soil water erosion (SWE) is an important global hazard that affects food availability through
soil degradation, a reduction in crop yield, and agricultural land abandonment. A map of soil …
soil degradation, a reduction in crop yield, and agricultural land abandonment. A map of soil …
PPG-based blood pressure estimation can benefit from scalable multi-scale fusion neural networks and multi-task learning
The continuous measurement of blood pressure (BP) plays an important role in preventing
cardiovascular diseases. However, common cuff-based devices with cumbersome …
cardiovascular diseases. However, common cuff-based devices with cumbersome …
[HTML][HTML] Performance comparison of two deep learning models for flood susceptibility map in Beira area, Mozambique
Floods are potentially devastating natural hazards that can threaten human life and
ecosystems. The serious impact caused by floods is the reason for the urgent need to …
ecosystems. The serious impact caused by floods is the reason for the urgent need to …