Home / Current Issue / Paper 1707580
AI and Wearable Technology: Continuous Monitoring and Early Diagnosis of Heart Diseases
Subject area: Science,Engineering and Technology · Area of research: AI in healthcare
Abstract
Artificial Intelligence (AI) and wearable technology have revolutionized healthcare by enabling continuous monitoring and early diagnosis of heart diseases. AI-powered wearable devices, such as smartwatches and biosensors, collect real-time cardiovascular data, including heart rate variability, electrocardiograms (ECG), and blood pressure. Advanced machine learning algorithms analyze these datasets to detect irregularities and predict potential heart conditions before symptoms manifest. This proactive approach enhances early intervention, reduces hospital admissions, and improves patient outcomes. However, challenges such as data privacy, accuracy, and device reliability remain critical areas for further research. The integration of AI with wearable health technology holds immense potential for transforming cardiovascular healthcare.
Keywords
Artificial Intelligence, Wearable Technology, Heart Disease, Continuous Monitoring, Early Diagnosis, Machine Learning
How to cite this paper
@article{1707580,
author = {Sahil Kumar},
title = {AI and Wearable Technology: Continuous Monitoring and Early Diagnosis of Heart Diseases},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {5},
pages = {402-408},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1707580.pdf},
abstract = {Artificial Intelligence (AI) and wearable technology have revolutionized healthcare by enabling continuous monitoring and early diagnosis of heart diseases. AI-powered wearable devices, such as smartwatches and biosensors, collect real-time cardiovascular data, including heart rate variability, electrocardiograms (ECG), and blood pressure. Advanced machine learning algorithms analyze these datasets to detect irregularities and predict potential heart conditions before symptoms manifest. This proactive approach enhances early intervention, reduces hospital admissions, and improves patient outcomes. However, challenges such as data privacy, accuracy, and device reliability remain critical areas for further research. The integration of AI with wearable health technology holds immense potential for transforming cardiovascular healthcare.},
keywords = {Artificial Intelligence, Wearable Technology, Heart Disease, Continuous Monitoring, Early Diagnosis, Machine Learning},
month = {November},
}