Cardiovascular Diseases Detection Using Photo Plethysmography (PPG)
Signal Data

QR Code

Cardiovascular Diseases Detection Using Photo Plethysmography (PPG) Signal Data

Photoplethysmography (PPG) signals have been widely used in clinical practice as diagnostic tools. In this article, techniques of machine learning have been used to improve the detection of cardiovascular disease (CVD) from the PPG signal data. Hypertension and stress are the main causes of the...

Full description

Bibliographic Details
Main Authors:	Padmavathi, Y., Ushasree, R., Chitra, Batumalai
Format:	Article
Language:	English
Published:	INTI International University 2024
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software RC Internal medicine
Online Access:	http://eprints.intimal.edu.my/1927/ http://eprints.intimal.edu.my/1927/1/jods2024_11.pdf

Similar Items

Early Detection of Cardiovascular Disease Using Photoplethysmography (PPG) Signal Analysis
by: Padmavathi, Y., et al.
Published: (2024)

Lie detection using acceleration plethysmography signal
by: Sidek, Khairul Azami, et al.
Published: (2018)

Comparative Analysis of Pneumonia Detection from Chest X-Ray Images Using CNN And Transfer Learning
by: Naveen Kumar, M., et al.
Published: (2024)

Stress Net: Multimodal Stress Detection using ECG and EEG Signals
by: Lakshmi, K., et al.
Published: (2024)

Driver Drowsiness Detection System
by: Ranjitha, M.M., et al.
Published: (2024)

Heart abnormality detection technique using PPG signal
by: Umadi, L.F., et al.
Published: (2016)

Systolic and diastolic multiclass classification of PPG signals using neural network with random weight
by: Tan, Jiun Hann, et al.
Published: (2019)

Validation of modified dietary habits instrument in cardiovascular diseases study
by: Sajid, Mirza Rizwan, et al.
Published: (2020)

Feasibility of plethysmography variability index (PVI) in determining intravascular volume in critically ill patients with acute kidney injury : a pilot study
by: Kian, Lee Eng
Published: (2017)

Monitoring Unusual Activity Using Remote-Controlled Computer and Android Based Application
by: Chitra, Batumalai, et al.
Published: (2019)

Blockchain-based Management for Organ Donation and Transplantation
by: Harish, V., et al.
Published: (2024)

The study of PPG and APG signals for biometric recognition
by: Sidek, Khairul Azami, et al.
Published: (2018)

Smart Lighting System for Library Using IoT Technology
by: Chitra, Batumalai, et al.
Published: (2019)

Study and Implementation of Internet of Things (IoT) Based on Rainwater Sensor Using Arduino through Mobile Application
by: Malathy, Batumalay, et al.
Published: (2019)

Heart disease prediction using case based reasoning (CBR)
by: Bhuiyan, Mohaiminul Islam, et al.
Published: (2024)

Cloud-Based Enhanced Storage System Using Android Technology
by: Malathy, Batumalay, et al.
Published: (2021)

Blood Pressure measurement from Photo-Plethysmography to Pulse Transit Time
by: Myint, C., et al.
Published: (2015)

Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study
by: Islam, Saima Sharleen, et al.
Published: (2022)

Reducing Risks and Enhancing Security and Privacy in IoT-based Health Monitoring Application using Blockchain Technology
by: Chitra, Batumalai, et al.
Published: (2022)

Heart disease prediction using ensemble of k-nearest neighbour, random forest and logistic regression method
by: Mohd Syafiq Asyraf, Suhaimi, et al.
Published: (2024)

Development of a deep learning model for prediction of cardiovascular disease
by: Mohd Syafiq Asyraf, Suhaimi, et al.
Published: (2025)

Convolutional Neural Network Model for Bone Fracture Detection and Classification in X-Ray Images
by: M. Fariz Fadillah, Mardianto, et al.
Published: (2024)

Mobile-Based Digital Car Plate Number for Future Automotive Industry
by: Malathy, Batumalay, et al.
Published: (2019)

Biometric recognition for twins inconsideration of age variability using PPG signals
by: Mohammed Nadzri, Nur Izzati, et al.
Published: (2018)

Evaluating Machine Learning Algorithms for Fake Currency Detection
by: Keerthana, S.N, et al.
Published: (2024)

Semi-supervised learning: Assisted cardiovascular disease forecasting using self-learning approaches
by: Tusher, Ekramul Haque, et al.
Published: (2024)

Predicting Parkinson’s Disease Using Machine Learning with Voice Parameters and Handwriting Images
by: Pruthvi, H.C., et al.
Published: (2024)

Advancing machine learning for identifying cardiovascular disease via granular computing
by: Ku Muhammad Naim, Ku Khalif, et al.
Published: (2024)

Web based interactive family photo album (N-IFPA)
by: Norul Nazifah, Yusuff
Published: (2015)

Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability
by: Abd Halim, Noor Hafizah Azlin, et al.
Published: (2019)

Machine Learning for Fake News Detection Analysis
by: S., Abhilasha, et al.
Published: (2024)

Epilepsy detection using EEG signals
by: Amer, Salam, et al.
Published: (2018)

Emotion detection using physiological signals EEG & ECG
by: AlzeerAlhouseini, Amjad M.R., et al.
Published: (2016)

Automatic Textile Stain Detection Using Yolo Algorithm
by: Keerthan, N., et al.
Published: (2024)

A review: PTSD in pre-existing medical condition on social media
by: Al Hassan Ayon, Zaber, et al.
Published: (2024)

Stacking with recursive feature elimination-isolation forest for classification of diabetes mellitus
by: Nur Farahaina, Idris, et al.
Published: (2024)

Remote photo gallery with users management
by: Lim , Chee Kian
Published: (2005)

A Review of Reversible Medical Image Watermarking Scheme with Tamper Localization and Recovery Capability
by: Khor, Hui Liang, et al.
Published: (2014)

Predicting Parkinson’s Disease Using Machine Learning Model
by: Sanjay Aswath, K.S.M, et al.
Published: (2024)

Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease
by: Jinjiri, Wada Mohammed
Published: (2023)