Design a prototype for automated patient diagnosis in wireless sensor networks.
It is indeed necessary to design of an elderly support mobile healthcare and monitoring system on wireless sensor network (WSN) for dynamic monitoring. It comes from the need for maintenance of healthcare among patients and elderly people that leads to the demand on change in traditional monitoring...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 57; no. 11; pp. 2373 - 2388 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139479824&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139479824 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2019 vid: 57 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 139479824 139479824 NLM31468306 10.1007/s11517-019-02036-4 NLM31468306 139479824 ppf: 2373 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Design a prototype for automated patient diagnosis in wireless sensor networks. aug: au: Ayyanar, Ayyasamy Archana, Maruthavanan Robinson, Y. Harold Julie, E. Golden Kumar, Raghvendra Son, Le Hoang affil: Department of Computer Science and Engineering, Faculty of Engineering and Technology, Annamalai University, Chidambaram, Tamil Nadu, India sug: subj: Wireless Communications Telemedicine Methods Monitoring, Physiologic Methods Sweat Electromyography Equipment and Supplies Algorithms Software Computer Communication Networks Electrocardiography Equipment and Supplies Monitoring, Physiologic Equipment and Supplies Diagnosis, Computer Assisted Scales ab: It is indeed necessary to design of an elderly support mobile healthcare and monitoring system on wireless sensor network (WSN) for dynamic monitoring. It comes from the need for maintenance of healthcare among patients and elderly people that leads to the demand on change in traditional monitoring approaches among chronic disease patients and alert on acute events. In this paper, we propose a new automated patient diagnosis called automated patient diagnosis (AUPA) using ATmega microcontrollers over environmental sensors. AUPA monitors and aggregates data from patients through network connected over web server and mobile network. The scheme supports variable data management and route establishment. Data transfer is established using adaptive route discovery and management approaches. AUPA supports minimizing packet loss and delay, handling erroneous data, and providing optimized decision-making for healthcare support. The performance of AUPA's QoS approach is tested using a set of health-related sensors which gather the patient's data over variable period of time and send from a source to destination AUPA node. Experimental results show that AUPA outperforms the existing schemes, namely SPIN and LEACH, with minimal signal loss rate and a better neighborhood node selection and link selection. It diminishes the jitter compared to the related algorithms. Graphical abstract Stack architecture of AUPA. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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