J Med Syst - Multi-sources data fusion framework for remote triage prioritization in telehealth.

Tópicos

{ monitor(1329) mobil(1314) devic(1160) }
{ data(3008) multipl(1320) sourc(1022) }
{ algorithm(1844) comput(1787) effici(935) }
{ method(2212) result(1239) propos(1039) }
{ framework(1458) process(801) describ(734) }
{ health(3367) inform(1360) care(1135) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ data(1714) softwar(1251) tool(1186) }
{ studi(1410) differ(1259) use(1210) }
{ perform(1367) use(1326) method(1137) }
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{ state(1844) use(1261) util(961) }
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{ research(1085) discuss(1038) issu(1018) }
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{ error(1145) method(1030) estim(1020) }
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{ patient(2837) hospit(1953) medic(668) }
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{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
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{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
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Resumo

The healthcare industry is streamlining processes to offer more timely and effective services to all patients. Computerized software algorithm and smart devices can streamline the relation between users and doctors by providing more services inside the healthcare telemonitoring systems. This paper proposes a multi-sources framework to support advanced healthcare applications. The proposed framework named Multi Sources Healthcare Architecture (MSHA) considers multi-sources: sensors (ECG, SpO2 and Blood Pressure) and text-based inputs from wireless and pervasive devices of Wireless Body Area Network. The proposed framework is used to improve the healthcare scalability efficiency by enhancing the remote triaging and remote prioritization processes for the patients. The proposed framework is also used to provide intelligent services over telemonitoring healthcare services systems by using data fusion method and prioritization technique. As telemonitoring system consists of three tiers (Sensors/ sources, Base station and Server), the simulation of the MSHA algorithm in the base station is demonstrated in this paper. The achievement of a high level of accuracy in the prioritization and triaging patients remotely, is set to be our main goal. Meanwhile, the role of multi sources data fusion in the telemonitoring healthcare services systems has been demonstrated. In addition to that, we discuss how the proposed framework can be applied in a healthcare telemonitoring scenario. Simulation results, for different symptoms relate to different emergency levels of heart chronic diseases, demonstrate the superiority of our algorithm compared with conventional algorithms in terms of classify and prioritize the patients remotely.

Resumo Limpo

healthcar industri streamlin process offer time effect servic patient computer softwar algorithm smart devic can streamlin relat user doctor provid servic insid healthcar telemonitor system paper propos multisourc framework support advanc healthcar applic propos framework name multi sourc healthcar architectur msha consid multisourc sensor ecg spo blood pressur textbas input wireless pervas devic wireless bodi area network propos framework use improv healthcar scalabl effici enhanc remot triag remot priorit process patient propos framework also use provid intellig servic telemonitor healthcar servic system use data fusion method priorit techniqu telemonitor system consist three tier sensor sourc base station server simul msha algorithm base station demonstr paper achiev high level accuraci priorit triag patient remot set main goal meanwhil role multi sourc data fusion telemonitor healthcar servic system demonstr addit discuss propos framework can appli healthcar telemonitor scenario simul result differ symptom relat differ emerg level heart chronic diseas demonstr superior algorithm compar convent algorithm term classifi priorit patient remot

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