Towards non-invasive blood glucose measurement using machine learning: An all-purpose PPG system design
Diabetes, the result of excessive or uncontrolled glucose in the blood, is one of the leading
causes of human mortality. Due to the unavailability of non-invasive glucose level checker …
causes of human mortality. Due to the unavailability of non-invasive glucose level checker …
Feature learning for blood pressure estimation from photoplethysmography
Blood pressure (BP) is an important indicator for prevention and management of
cardiovascular diseases. Alongside the improvement in sensors and wearables …
cardiovascular diseases. Alongside the improvement in sensors and wearables …
Photoplethysmography-based blood pressure estimation using deep learning
Blood pressure (BP) measurement is an important measure of health status, yet simple and
accurate measurement techniques have remained elusive. In this paper, we present a novel …
accurate measurement techniques have remained elusive. In this paper, we present a novel …
Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels
Continuous photoplethysmography (PPG)-based blood pressure monitoring is necessary for
healthcare and fitness applications. In Artificial Intelligence (AI), signal classification levels …
healthcare and fitness applications. In Artificial Intelligence (AI), signal classification levels …
Ppg2abp: Translating photoplethysmogram (ppg) signals to arterial blood pressure (abp) waveforms using fully convolutional neural networks
Cardiovascular diseases are one of the most severe causes of mortality, taking a heavy toll
of lives annually throughout the world. The continuous monitoring of blood pressure seems …
of lives annually throughout the world. The continuous monitoring of blood pressure seems …
A Review of Deep Learning Methods for Photoplethysmography Data
Photoplethysmography (PPG) is a highly promising device due to its advantages in
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
[HTML][HTML] Diabetes detection and management through photoplethysmographic and electrocardiographic signals analysis: A systematic review
(1) Background: Diabetes mellitus (DM) is a chronic, metabolic disease characterized by
elevated levels of blood glucose. Recently, some studies approached the diabetes care …
elevated levels of blood glucose. Recently, some studies approached the diabetes care …
Fingertip Video Dataset for Non-invasive Diagnosis of Anemia using ResNet-18 Classifier
Hemoglobin is the iron containing protein in red blood cells which carries oxygen from lungs
to rest of the body tissues. Accurate measurement of hemoglobin is essential for diagnosing …
to rest of the body tissues. Accurate measurement of hemoglobin is essential for diagnosing …
Improving the accuracy in classification of blood pressure from photoplethysmography using continuous wavelet transform and deep learning
J Wu, H Liang, C Ding, X Huang… - International journal …, 2021 - Wiley Online Library
Background. Continuous wavelet transform (CWT) based scalogram can be used for
photoplethysmography (PPG) signal transformation to classify blood pressure (BP) with …
photoplethysmography (PPG) signal transformation to classify blood pressure (BP) with …
[HTML][HTML] An estimation method of continuous non-invasive arterial blood pressure waveform using photoplethysmography: A U-Net architecture-based approach
T Athaya, S Choi - Sensors, 2021 - mdpi.com
Blood pressure (BP) monitoring has significant importance in the treatment of hypertension
and different cardiovascular health diseases. As photoplethysmogram (PPG) signals can be …
and different cardiovascular health diseases. As photoplethysmogram (PPG) signals can be …