2019
DOI: 10.1080/09720529.2019.1637156
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Mobile android-based remote patient monitoring system through wearable sensors

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Cited by 19 publications
(5 citation statements)
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“…The gateway that connects the sensing to the cloud component of the network and supports LoRaWAN then sends the parameter values that were measured to the cloud. The developed Web-based consumer interaction dashboard allows end customers to access the system and get the data in complement to the statistical data [15].…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…The gateway that connects the sensing to the cloud component of the network and supports LoRaWAN then sends the parameter values that were measured to the cloud. The developed Web-based consumer interaction dashboard allows end customers to access the system and get the data in complement to the statistical data [15].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Photo-electronic and biological sensors record the input properties, and a CPU performs the analysis. You can view the results instantly with an Android app [14] [15].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In the field of smart medical devices, IoT devices can be used to monitor people's health conditions when specialists are not available. In 2019, Leo John Baptist Andrews et al invented an integrated, compact gadget for monitoring heart rate and temperature in order to help detect heart disease and offer alerts to users, especially when specialists are not available nearby or users are ignorant of their hearts' condition [45]. IoT is also used in smart agriculture.…”
Section: Internet Of Thingsmentioning
confidence: 99%
“…Furthermore, World Health Organization (WHO) found that there are about 330 million individuals have hypertension. Accordingly, in 2025, it might be around 1.56 billion individuals suffering from high blood pressure [9]. However, all current monitoring systems implemented in the private and public hospitals in Yemen are still using the traditional approach of monitoring chronic patients.…”
Section: Introductionmentioning
confidence: 99%