HealthMate: Smart Wearable System for Health Monitoring (SWSHM)
Autor: | Nawzad K. Al-Salihi, Rebaz Mohammed Dler Omer |
---|---|
Rok vydání: | 2017 |
Předmět: |
Engineering
Measure (data warehouse) Smart phone business.industry Real-time computing Wearable computer 020206 networking & telecommunications 02 engineering and technology computer.software_genre News aggregator Embedded system Body area network 0202 electrical engineering electronic engineering information engineering Wireless 020201 artificial intelligence & image processing The Internet business computer Wireless sensor network |
Zdroj: | ICNSC |
DOI: | 10.1109/icnsc.2017.8000185 |
Popis: | For the recent few years, Smart Wearable Systems (SWS) have been one of the most productive areas that can be considered for clinical utilization. They are an end-to-end connected source and sink (aggregator) nodes implemented to be in communication together either locally or remotely. However, a number of these sensors can be integrated on the Wireless Body Area Networks (WBAN), which is a new method for health monitoring. In particular, technology has become a trend that affect the patients' needs for requesting an innovation, low cost and flexible system in order to be aware in the change of their physiological and non-physiological body parameters. To provide this demand, HealthMate system is proposed as a solution for real-time health monitoring system that is based on Smart Wearable System for Health Monitoring (SWSHM). This paper is aimed at providing a health monitoring system for patients to measure their body parameters through e-Health sensors via smart phone and enabling doctors to check the health status of their patients remotely. Our solution allows patients to measure their body physiological and non-physiological parameters using body temperature, electrocardiogram, pulse and oxygen in blood, airflow and body position sensors. In addition, by using internet technologies, XBee wireless (802.15.4), and SMS to transmit measured patients body parameters to either mobile application or database on a cloud server, where artificial intelligence is accomplished to examine the data in order to notify health professions in emergency case using SMS services or e-mail. |
Databáze: | OpenAIRE |
Externí odkaz: |