Wireless Medical Interface Using ZigBee and Bluetooth Technology

Mulyadi, Indra Hardian; Supriyanto, Eko; Safri, Norlaili Mat; Satria, Muhammad Haikal

doi:10.1109/ams.2009.134

Cited by 19 publications

(5 citation statements)

References 5 publications

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“…In addition, a new anti-islanding method is presented to be used with the proposed RMS. This RMS communicates with each node using ZigBee technology, because ZigBee has low power requirements, is simple, and is able to cover a large number of devices per network [12]. The proposed anti-islanding method does not affect the power quality, because this method uses external sensor data and does not modulate the output signal.…”

Section: ) the Passive Methods [5]-[7]mentioning

confidence: 97%

A New Type of Remote Power Monitoring System Based on a Wireless Sensor Network Used in an Anti-islanding Method Applied to a Smart-Grid

Lee

Kim

Moon

et al. 2011

Communications in Computer and Information Science

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Abstract. Renewable energy and the smart grid have become a major focus in industry. The smart grid is an intelligent system which maximizes energy efficiency; it needs to continuously monitor power production and consumption. Remote Monitoring Systems (RMS) are a very useful tool for this purpose, however they are mostly implemented using hard-wired communications.In this paper, we propose an RMS based on a wireless sensor network. In addition, a new anti-islanding method, implemented with the proposed wireless RMS, is presented. An experimental micro grid system has been implemented in order to verify the proposed RMS and the anti-islanding method.

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Section: ) the Passive Methods [5]-[7]mentioning

confidence: 97%

A New Type of Remote Power Monitoring System Based on a Wireless Sensor Network Used in an Anti-islanding Method Applied to a Smart-Grid

Lee

Kim

Moon

et al. 2011

Communications in Computer and Information Science

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“…Another study discusses the amalgamation of both the Bluetooth and Zigbee communication protocols to develop robust communication between medical devices and telecommunication infrastructure [ 31 ]. The interface was designed to transmit medical data from vital sign medical devices to a centralized processing unit using a wireless network.…”

Section: Related Workmentioning

confidence: 99%

“…The medical data is transmitted using both the Zigbee and Bluetooth protocols to reach its destination. The framework also supports detecting the existence of the device, handshaking, and error correction to establish a reliable connection and to mitigate any potential disturbances [ 31 ]. The results of this test proved that the medical interface was able to be utilized in noisy environments within a range of 10 m from medical devices.…”

Section: Related Workmentioning

confidence: 99%

Cyber Risks Prediction and Analysis in Medical Emergency Equipment for Situational Awareness

Burke

Saxena

2021

Sensors

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In light of the COVID-19 pandemic, the Medicines and Healthcare products Regulatory Agency administered the standards for producing a Rapidly Manufactured Ventilator System (RMVS) free of charge due to the United Kingdom’s shortfall of ventilator systems throughout health centers. The standards delineate the minimum requirements in which a Rapidly Manufactured Ventilator System must encompass to be admissible for usage within hospitals. This work commences by evaluating the standards provided by the government to identify any potential security vulnerabilities that may arise due to the succinct development standards provided by the MHRA. This research investigates what cyber considerations are taken to safeguard a patient’s health and medical data to improve situational awareness. A tool for a remotely accessible, low-cost ventilator system is developed to reveal what a malicious actor may be able to inflict on a modern ventilator and its adverse impact.

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“…According to the Bluetooth protocol specification, multiple concurrent connections up to 7 slaves to 1 master node are possible [30]. This can be applied to multiple sensor data transfers without interrupting other sensor data acquisition processes.…”

Section: Multi-sensor Connectionsmentioning

confidence: 99%

System Architecture and Design Flow of Smart Mobile Sensing Systems

Yi¹,

Saniie²

2013

JST

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This study presents the architecture and design flow of smart mobile sensing systems that performs wireless sensor data transmission, data analysis and display in real-time. Multiple wireless protocols are used for sensor data transmission including the Bluetooth, cellular data network and Wi-Fi for Internet access, and Near Field Communication (NFC). An Android smartphone is utilized to demonstrate the design concept of an Intelligent Personal Communication Node (iPCN) and to perform real-time sensor data acquisition, processing, analysis, display and transmission. Tested sensors include acceleration, temperature, electrocardiography (ECG) and phonocardiography (PCG). For computational capability tests, we have observed the signal processing performance of the smartphone by implementing fast Fourier transform (FFT) of the received ECG signal, and QRS detection algorithm for spontaneous heart beat rate (HBR) estimation. This system has also been tested for multiple sensor node communication and on-demand sensor data acquisition. The smart mobile sensing system can also be applied to any environment that requires real-time sensing and wireless remote monitoring.

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Wireless Medical Interface Using ZigBee and Bluetooth Technology

Cited by 19 publications

References 5 publications

A New Type of Remote Power Monitoring System Based on a Wireless Sensor Network Used in an Anti-islanding Method Applied to a Smart-Grid

A New Type of Remote Power Monitoring System Based on a Wireless Sensor Network Used in an Anti-islanding Method Applied to a Smart-Grid

Cyber Risks Prediction and Analysis in Medical Emergency Equipment for Situational Awareness

System Architecture and Design Flow of Smart Mobile Sensing Systems

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