Biomedical Research

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.
Reach Us +44-7360-538437

Research Article - Biomedical Research (2017) Volume 28, Issue 4

Understanding the role of internet of things towards smart e-healthcare services

Introduction: Internet of Things and allied components i.e., cloud, hardware platforms, communication technologies, wearable systems and its challenges are described for seamless integration with telemedicine and e-health.

Materials and Method: Comparison between Internet of things based existing cloud platforms, wearables, hardware, and network technologies are performed to provide clear picture of how these are correlating with current smart e-healthcare services. Percentage and taxonomical representation of parameters are measured by taking various surveyed items. Related technological challenges are visited which shall be taken care of researchers.

Results: 9 hardware platforms, 31 popular internets of things enabled wearables, 15 cloud platforms, and 7 network technologies have been investigated according to specified parameters that best meet their suitability for dissemination of e-healthcare services. Out of 9 hardware platforms Raspberry Pi 3 has maximum clock speed of 1.2 GHz whereas maximum amount of system memory sized 512 MB claiming to be most effective platform to be used for design of e-health solutions. Public, private, and hybrid clouds dominate 6%, 13%, and 81%, respectively. 21 different sensors are found to have used in all 31 wearables. Accelerometer and ECG sensors are the two mostly used sensors having 45.1% and 19.3 % implementations respectively. Cloud, Wi-Fi, APP, and Bluetooth Low-Energy (BTLE) supported deployments into wearables are found to be 38.7%, 25.8%, 100% and 93.5% respectively. Baby and elderly monitor solutions do capture 19.3%, and 16.1% of whole wearables. 38.7% of the wearables per unit price costs more than 250 $. Bluetooth Low-Energy (BTLE) and Low-Rate Wireless Personal Area Networks (LR-WPAN) communications are found to be two most promising technologies for ehealthcare services.

Conclusion: This study inculcates the appropriateness of internet of things in many forms for conjugation with smart e-healthcare.

Author(s): Partha Pratim Ray

Abstract Full Text PDF

Get the App