A Comparative Performance Analysis of the Happy HeartCare App for Cardiac Patients on Android and iOS Platforms

This study presents a comparative analysis of performance optimization strategies applied to Happy HeartCare, a cross-platform mobile application designed to assist cardiac patients through real-time health monitoring and support. The research evaluates and contrasts performance metrics—including response time, CPU usage, app launch time, and battery consumption—across Android and iOS versions of the application. Developed using Flutter for the frontend and PHP with MySQL for the backend, the app integrates features such as symptom tracking, medication reminders, and patient-provider communication. Performance data was collected from 20 participants and analyzed using IBM SPSS software to measure the impact of platform-specific optimization techniques. Results show that while iOS benefits from integrated system-level optimizations, Android demonstrates greater improvements when explicit optimization techniques are applied. The findings highlight the necessity of tailored optimization approaches for each platform to ensure consistent and efficient user experiences in mobile healthcare applications. This study contributes to the advancement of mobile health technology by recommending cross-platform optimization strategies and emphasizing the importance of performance tuning in patient-centric applications.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-16
DOI
https://doi.org/10.5281/zenodo.15720892
Primary Topic
thermodynamics and calorimetric analyses
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comparative Performance Analysis of the Happy HeartCare App for Cardiac Patients on Android and iOS Platforms

Zenodo (CERN European Organization for Nuclear Research)
thermodynamics and calorimetric analyses
article

A Comparative Performance Analysis of the Happy HeartCare App for Cardiac Patients on Android and iOS Platforms

article en

Abstract

This study presents a comparative analysis of performance optimization strategies applied to Happy HeartCare, a cross-platform mobile application designed to assist cardiac patients through real-time health monitoring and support. The research evaluates and contrasts performance metrics—including response time, CPU usage, app launch time, and battery consumption—across Android and iOS versions of the application. Developed using Flutter for the frontend and PHP with MySQL for the backend, the app integrates features such as symptom tracking, medication reminders, and patient-provider communication. Performance data was collected from 20 participants and analyzed using IBM SPSS software to measure the impact of platform-specific optimization techniques. Results show that while iOS benefits from integrated system-level optimizations, Android demonstrates greater improvements when explicit optimization techniques are applied. The findings highlight the necessity of tailored optimization approaches for each platform to ensure consistent and efficient user experiences in mobile healthcare applications. This study contributes to the advancement of mobile health technology by recommending cross-platform optimization strategies and emphasizing the importance of performance tuning in patient-centric applications.

Zenodo (CERN European Organization for Nuclear Research)
Saveetha University (IN)
Openalex Percentile: Top 55%
thermodynamics and calorimetric analyses
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