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Reviewing federated machine learning and its use in diseases prediction
Machine learning (ML) has succeeded in improving our daily routines by enabling
automation and improved decision making in a variety of industries such as healthcare …
automation and improved decision making in a variety of industries such as healthcare …
Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet
The photoplethysmogram (PPG) signal is widely measured by clinical and consumer
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
Wearable photoplethysmography for cardiovascular monitoring
Smart wearables provide an opportunity to monitor health in daily life and are emerging as
potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands …
potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands …
Vital Recorder—a free research tool for automatic recording of high-resolution time-synchronised physiological data from multiple anaesthesia devices
The current anaesthesia information management system (AIMS) has limited capability for
the acquisition of high-quality vital signs data. We have developed a Vital Recorder program …
the acquisition of high-quality vital signs data. We have developed a Vital Recorder program …
PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methods
There has been a growing interest in develo** cuff-less blood pressure (BP) estimation
methods to enable continuous BP monitoring from electrocardiogram (ECG) and/or …
methods to enable continuous BP monitoring from electrocardiogram (ECG) and/or …
Blood pressure estimation using photoplethysmography only: comparison between different machine learning approaches
Introduction. Blood pressure (BP) has been a potential risk factor for cardiovascular
diseases. BP measurement is one of the most useful parameters for early diagnosis …
diseases. BP measurement is one of the most useful parameters for early diagnosis …
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 …
Diagnostic features and potential applications of PPG signal in healthcare: A systematic review
Recent research indicates that Photoplethysmography (PPG) signals carry more information
than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive …
than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive …
Continuous PPG-based blood pressure monitoring using multi-linear regression
In this work, we present a photoplethy smography-based blood pressure monitoring
algorithm (PPG-BPM) that solely requires a photoplethysmography (PPG) signal. The …
algorithm (PPG-BPM) that solely requires a photoplethysmography (PPG) signal. The …
Energy-efficient task scheduling and physiological assessment in disaster management using UAV-assisted networks
Abstract Internet of Things (IoT) and unmanned aerial vehicles (UAVs) together can
significantly enhance the performance of disaster management systems. UAVs can collect …
significantly enhance the performance of disaster management systems. UAVs can collect …