A smart architecture design for health remote monitoring systems and heterogeneous wireless sensor network technologies: a machine learning breathlessness prediction prototype
| Autor: | Yassin Laaziz, Mohamed Eddabbah, Mohamed Moussaoui |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Service (systems architecture)
Remote patient monitoring SOAP computer.internet_protocol Computer science business.industry Strategy and Management Interoperability 020206 networking & telecommunications 02 engineering and technology Gateway (computer program) computer.software_genre Machine learning Data access Management of Technology and Innovation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Business and International Management Web service business computer Wireless sensor network |
| Zdroj: | International Journal of Intelligent Enterprise. 6:293 |
| ISSN: | 1745-3240 1745-3232 |
| DOI: | 10.1504/ijie.2019.10022696 |
| Popis: | In this paper, we propose a remote patient monitoring architecture based on WBAN wireless body sensor network for breathlessness prediction using machine learning mechanism, we develop a new gateway architecture able to interconnect heterogeneous sensor networks not equipped with the HTTP/TCP/UDP stack. To ensure interoperability and facilitate seamless access to data from different types of body sensors that communicates via multiple technologies. We have designed an application-layer approach for a web service gateway to interact with heterogeneous WSN. The gateway manages the service consumption and communicates with the server via the SOAP protocol. The proposed platform targeted to monitor and process patient health data. An improved machine learning algorithm is used for patient health status prediction to perform patient self-training models based on k-means algorithm. For our platform evaluation we study the gateway power consumption then we investigate the communication delay between the gateway and the server over three communication scenarios (3G, ADSL, LOCAL). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|