Recent progress in flexible wearable sensors for vital sign monitoring
With the development of flexible electronic materials, as well as the wide development and
application of smartphones, the cloud, and wireless systems, flexible wearable sensor …
application of smartphones, the cloud, and wireless systems, flexible wearable sensor …
Water quality classification using machine learning algorithms
Monitoring water quality is essential for protecting human health and the environment and
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …
Applications of machine learning in knowledge management system: a comprehensive review
As new generations of technology appear, legacy knowledge management solutions and
applications become increasingly out of date, necessitating a paradigm shift. Machine …
applications become increasingly out of date, necessitating a paradigm shift. Machine …
Wearable technologies for electrodermal and cardiac activity measurements: a comparison between fitbit sense, empatica E4 and shimmer GSR3+
The capability of measuring specific neurophysiological and autonomic parameters plays a
crucial role in the objective evaluation of a human's mental and emotional states. These …
crucial role in the objective evaluation of a human's mental and emotional states. These …
Explainability metrics of deep convolutional networks for photoplethysmography quality assessment
Photoplethysmography (PPG) is a noninvasive way to monitor various aspects of the
circulatory system, and is becoming more and more widespread in biomedical processing …
circulatory system, and is becoming more and more widespread in biomedical processing …
Extracting Natech reports from large databases: development of a semi-intelligent Natech identification framework
Natural hazard-triggered technological accidents (Natechs) refer to accidents involving
releases of hazardous materials (hazmat) triggered by natural hazards. Huge economic …
releases of hazardous materials (hazmat) triggered by natural hazards. Huge economic …
Enhanced heart rate prediction model using damped least-squares algorithm
Monitoring a patient's vital signs is considered one of the most challenging problems in
telehealth systems, especially when patients reside in remote locations. Companies now …
telehealth systems, especially when patients reside in remote locations. Companies now …
Heart Rate Estimation from Wrist PPG Signal During Intense Physical Exercise
In recent years, the wearable reflectance-type photoplethysmography (PPG) sensor has
gained unprecedented attention for real-time heart rate monitoring due to its noninvasive …
gained unprecedented attention for real-time heart rate monitoring due to its noninvasive …
Extraction of heart rate from PPG Signal: a machine learning approach using decision tree regression algorithm
This research article shows a novel technique which used to measure the heart rate (HR)
from wearable devices such as fingertip device, wrist type device. For HR monitoring …
from wearable devices such as fingertip device, wrist type device. For HR monitoring …
PPG-based heart rate estimation with efficient sensor sampling and learning models
Recent studies showed that Photoplethysmography (PPG) sensors embedded in wearable
devices can estimate heart rate (HR) with high accuracy. However, despite of prior research …
devices can estimate heart rate (HR) with high accuracy. However, despite of prior research …