LabVIEW based real time bio-telemetry system for healthcare

Raval, Jay A.; Sakinala, Vivek V.; Jadhav, Nitin R.; Karia, Deepak C.

doi:10.1109/iccsp.2017.8286788

Cited by 2 publications

(1 citation statement)

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“…LabVIEW™isbasedonagraphicaldataflowenvironmentdevelopedbyNationalInstrumentsand comesshippedwithareal-timemodule,tocreatelife-criticalapplicationssuchasthatofafull-flight simulator (Keenan,2008).Insuchcases,theprogramsrunonstand-aloneembeddedhardwaretargets suchasArdencePharLapETS,WindRiverSystemsVxWorks,orNILinuxReal-TimeOperating System (RTOS). When reliability of software is soft-critical such as user experience in e-health applications (Raval, Sakinala, Jadhav, & Karia, 2017), LabVIEW™ code may be executed on a General-PurposeOperatingSystem(GPOS)insoftreal-time,bypassingtheconstraintsoftheRTOS module.ThatimpliesincorporationofoptimizedC-codeasDynamicLinkLibrary(DLL)within theVI,de-allocatingmemoryfortemporaryvariablesinsidetheDLLs,andfixed-pointarithmetic operationsforthecode (Peddigari,Kehtarnavaz,&Loizou,2007).Theperformanceofthecodecould benotablyimprovedwithparallelcomputing.However,asmallnumberofspecializeddevelopers hasonlyconsideredthisoption,sofar. Dataflowmodelsandtheircorrespondinganalysismethodscanbeusedtoderiveaperiodic schedule at compile time, guaranteeing hard real-time threads meet their deadline (Lee & Messerschmitt, 1987).…”

Section: Related Workmentioning

confidence: 99%

Monitoring Practitioner's Skills in Pure-Tone Audiometry

Kocian

Chessa

Grolman

2020

International Journal of E-Health and Medical Communications

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So far, there exists no standard, to evaluate a practitioner's skills in pure-tone audiometry. To narrow the gap, this article presents an artificial patient (AP) emulating various types of hearing impairment. In contrast to other solutions, the AP autonomously listens to real pure-tones in soft real-time, while taking into account elements from psycho-acoustics. The emulated patient profiles are reproducible. New profiles can be easily added. The AP is able to recover from error. In this contribution, the authors develop software requirements specifications and derive a modular system architecture. To analyze the performance, the article proposes a stochastic extension to existing synchronous data flow graphs, taking into account the unbounded nature of the tasks' worst case response time. Maximization and summation over the graph reveals the joint distribution of the response time with first and second central moments corresponding to, respectively, the expected response time and the jitter of the task. The theoretical results have finally been validated by measurements on the target.

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Section: Related Workmentioning

confidence: 99%