AMIGO APPLICATION
Abstract
A health application is a software program that is designed to help users track and manage their health and wellness. These apps often provide features such as the ability to log and track exercise, monitor diet and nutrition, track sleep patterns, and set and track health goals. Health bands, also known as fitness trackers, are wearable devices that often have many of the same features as health apps, but allow users to access and track their health data on the go. Some health bands also have additional features such as heart rate monitoring and GPS tracking. Both health applications and health bands can be useful tools for individuals who want to improve their overall health and wellness, but it’s important to choose a reputable and reliable product and to be mindful of data privacy and security issues. The proposed system could be helpful for individuals who are at risk for heart conditions and want to closely monitor their health, as well as for caregivers and family members who want to ensure the safety and well-being of their loved ones. In order to
develop an app like this, you would need to work with healthcare professionals and experts in ECG technology to ensure that the app is accurate and reliable. Additionally the users would need to consider issues such as data privacy and security, as well as the necessary regulatory approvals for a healthcare app.
Keywords:
Heart attack prediction and detection, Internet of ThingsPublished
Issue
Section
License
Copyright (c) 2023 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Sebastian Biju, Samuel Michael, Thomas Mathew Jose, Mathew Abraham, Minu Cherian, A Review of Machine Learning Approaches for Canine Skin Disease Detection Using Image Processing Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Dona S Plavelil, A Devanandha, Haritha H Kurupp, Jissin k Jose, DETECTION OF ALZHEIMER’S DISEASE AND ASSISTANCE , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Ansamol Varghese, Anoushkha Tresa, Athira John, Ignatious Ealias Roy, M S Gautham Sankar, A Machine Learning Approach to Fake News Detection , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Linsa Mathew, Brain Tumor Detection , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Honey Joseph, Aaron M Vinod, Abin Mathew varghese, Aby Alex, Aleena Sain, Crop Yield Prediction Using ML , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Khalid Hareef, Neenu, M N Sulthana , Nesmi Siddique, Number Plate Detection in Fog and Haze , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Prayag Suresh, Sneha Susan Alex, Rojan Varghese, Thomas Zacharias, Shiney Thomas, Survey of Strabismus Detection Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Akshaya Babu, Amala Saju, Athulya C A, Mary Niya Sebastian, Nisy John Panicker, PlateGuard: Ensuring Security with YOLOv5 ANPR Technology , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr.Sinciya P.O , Ameena Ismail, Christin Abu, Don P Mathew, Gokul Krishnan G , Enhancing LSD Image Classification Techniques A Literature Review on Classification Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr. Indu John, Gauri Santhosh, Jesna Susan Reji, Abdul Musawir, Glady Prince, Detection of Autism Spectrum Disorder in Toddlers using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.