J Biomed Inform - A framework for the comparison of mobile patient monitoring systems.

Tópicos

{ monitor(1329) mobil(1314) devic(1160) }
{ process(1125) use(805) approach(778) }
{ concept(1167) ontolog(924) domain(897) }
{ general(901) number(790) one(736) }
{ featur(3375) classif(2383) classifi(1994) }
{ studi(2440) review(1878) systemat(933) }
{ signal(2180) analysi(812) frequenc(800) }
{ method(1557) propos(1049) approach(1037) }
{ data(2317) use(1299) case(1017) }
{ use(976) code(926) identifi(902) }
{ result(1111) use(1088) new(759) }
{ activ(1452) weight(1219) physic(1104) }
{ method(2212) result(1239) propos(1039) }
{ patient(2315) diseas(1263) diabet(1191) }
{ treatment(1704) effect(941) patient(846) }
{ framework(1458) process(801) describ(734) }
{ design(1359) user(1324) use(1319) }
{ care(1570) inform(1187) nurs(1089) }
{ howev(809) still(633) remain(590) }
{ research(1085) discuss(1038) issu(1018) }
{ import(1318) role(1303) understand(862) }
{ model(2656) set(1616) predict(1553) }
{ time(1939) patient(1703) rate(768) }
{ can(981) present(881) function(850) }
{ drug(1928) target(777) effect(648) }
{ measur(2081) correl(1212) valu(896) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ featur(1941) imag(1645) propos(1176) }
{ studi(1410) differ(1259) use(1210) }
{ perform(999) metric(946) measur(919) }
{ model(2341) predict(2261) use(1141) }
{ state(1844) use(1261) util(961) }
{ cost(1906) reduc(1198) effect(832) }
{ first(2504) two(1366) second(1323) }
{ activ(1138) subject(705) human(624) }
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{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
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{ error(1145) method(1030) estim(1020) }
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{ learn(2355) train(1041) set(1003) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ data(1714) softwar(1251) tool(1186) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
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{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ intervent(3218) particip(2042) group(1664) }
{ patient(1821) servic(1111) care(1106) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

A mobile patient monitoring system makes use of mobile computing and wireless communication technologies for continuous or periodic measurement and analysis of biosignals of a mobile patient. In a number of trials these systems have demonstrated their user-friendliness, convenience and effectiveness for both patients and healthcare professionals. In this paper we propose a generic architecture, associated terminology and a classificatory framework for comparing mobile patient monitoring systems. We then apply this comparison framework to classify six mobile patient monitoring systems selected according to the following criteria: use of diverse mobile communication techniques, evidence of practical trials and availability of sufficient published scientific information. We also show how to use this framework to determine feature sets of prospective real-time mobile patient monitoring systems using the example of epilepsy monitoring. This paper is aimed at both healthcare professionals and computer professionals. For healthcare professionals, this paper provides a general understanding of technical aspects of the mobile patient monitoring systems and highlights a number of issues implied by the use of these systems. The proposed framework for comparing mobile patient monitoring systems can be used by healthcare professionals to determine feature sets of prospective mobile patient monitoring systems to address particular healthcare related needs. Computer professionals are expected to benefit by gaining an understanding of the latest developments in the important emerging application area of mobile patient monitoring systems.

Resumo Limpo

mobil patient monitor system make use mobil comput wireless communic technolog continu period measur analysi biosign mobil patient number trial system demonstr userfriendli conveni effect patient healthcar profession paper propos generic architectur associ terminolog classificatori framework compar mobil patient monitor system appli comparison framework classifi six mobil patient monitor system select accord follow criteria use divers mobil communic techniqu evid practic trial avail suffici publish scientif inform also show use framework determin featur set prospect realtim mobil patient monitor system use exampl epilepsi monitor paper aim healthcar profession comput profession healthcar profession paper provid general understand technic aspect mobil patient monitor system highlight number issu impli use system propos framework compar mobil patient monitor system can use healthcar profession determin featur set prospect mobil patient monitor system address particular healthcar relat need comput profession expect benefit gain understand latest develop import emerg applic area mobil patient monitor system

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