A novel re-targetable application development platform for healthcare mobile applications

Chae Ho Cho, Fatemehsadat Tabei, Tra Nguyen Phan, Yeesock Kim, Jo Woon Chong

Research output: Contribution to journalArticlepeer-review

Abstract

The rapid enhancement of central power unit (CPU) performance enables the development of computationally-intensive healthcare mobile applications for smartphones and wearable devices. However, computationally-intensive mobile applications require significant application development time during the application porting procedure when the number of considering target devices' operating systems (OSs) is large. In this paper, we propose a novel re-targetable application development platform for healthcare mobile applications, which reduces application development time with maintaining the performance of the algorithm. Although the number of application's target OSs increases, the amount of time required for the code conversion step in the application porting procedure remains constant in the proposed re-targetable platform. Experimental results show that our proposed re-targetable platform gives reduced application development time compared to the conventional platform with maintaining the performance of the mobile application.

Original languageEnglish
JournalUnknown Journal
StatePublished - Mar 13 2019

Keywords

  • Biomedical Applications
  • Biomedical Signal Processing Algorithm
  • Operating System
  • Re-Targetable Platform

Fingerprint Dive into the research topics of 'A novel re-targetable application development platform for healthcare mobile applications'. Together they form a unique fingerprint.

Cite this