Open cloud platform for programming embedded systems

Radovici, Alexandru; Culic, Ioana

doi:10.1109/roedunet.2013.6714191

Cited by 9 publications

(3 citation statements)

References 2 publications

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“…Supplementary Figure 3 represents device management screen where device configuration can be edited for device type, brand name and device name on the same Beaglebone MAC id so that if the medical device is upgraded for a newer version or completely changed, it could be remotely managed. Currently, industry grade remote monitoring solutions for embedded devices [41]- [44] are not available for BBB on ARM technology. Hence we provisioned vital tracker and heartbeat screen to closely monitor any data loss.…”

Section: Technicalmentioning

confidence: 99%

Neo-Bedside Monitoring Device for Integrated Neonatal Intensive Care Unit (iNICU)

et al. 2019

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We report the design and implementation of an affordable bedside device, Neo is capable of acquiring vital data in real time by integrating with diverse devices connected to newborns in neonatal intensive care units (NICUs). NICUs are equipped with multiple vital sign monitoring devices that are connected to the premature newborn and acquire a few gigabytes of data every day. The continuous vital data from these devices are manually documented every hour. This introduces errors and loses a large amount of high-resolution data. The intermittent documentation of physiological data also makes it difficult for clinicians to visualize and detect the trends of diagnostic utility. Neo is built on an affordable Internet of Things platform that aggregates and sends the real-time data to a cloud-based big data platform called integrated NICU. Apart from minimizing documentation errors, the device enables data acquisition at sufficiently real-time rates as to indicate the current status of all the patients at the NICU. Neo automates immediate vital sign status and past trends as graphs or charts that the doctor and nurses can view from anywhere through the Internet. Physiological signal and clinical parameters from Neo is used to score different diseases like sepsis, respiratory distress syndrome, necrotizing enterocolitis, and retinopathy of prematurity. This score predicts the physiological health of the newborn and aid clinicians in decision-making ensuring timely intervention. INDEX TERMS Big data, cloud-based, device aggregator, early warning scores, IoT, neonatal intensive care units.

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Section: Technicalmentioning

confidence: 99%

Neo-Bedside Monitoring Device for Integrated Neonatal Intensive Care Unit (iNICU)

et al. 2019

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“…The other components that are part of this stage are three resistors (R8 ÷ R10). The signal at the output of the level shifting stage is defined by: (2) In equation (2) with ADC_INPUT is denoted the output signal of the stage presented in this subsubsection (which will be connected to the input of the ADC) and with AMP_OUT is denoted the signal at the output of the programmable gain amplifier, in order to easily identify them on the schematic diagram presented in figure 2. It can be observed that this stage amplifies the input signal with a gain equal to 1.5 and then adds a constant voltage equal to 2.5 V to it.…”

Section: The Level Shifting Stagementioning

confidence: 99%

“…Since the Internet of Things (IoT) idea, almost every device is designed in such way that it can be connected to the Internet [1], becoming accessible and controllable from anywhere. Another word that characterizes the near future is "open" as more and more open source software [2]. Also raw hardware resources (electronic components) become available to anyone interested since their prices keep dropping.…”

Section: Introductionmentioning

confidence: 99%