WBAN Based Long Term ECG Monitoring

Healthcare solutions using anytime, and anywhere remote healthcare surveillance devices, have become a major challenge. The patients with chronic diseases who need only therapeutic supervision are not advised to occupy a hospital bed. Using Wearable Wireless Body/Personal Area Network (WWBAN), intelligent monitoring of heart can supply information about medical conditions. Electrocardiogram (ECG) is the core reference in the diagnosis and medication process. An approach on healthcare solution WBAN based, for real-time ECG signal monitoring and long-term recording will be presented. Low-power wireless sensor nodes with local processing and encoding capabilities in order to achieve maximum mobility and flexibility are our main goal. ZigBee wireless technology will be used for transmission. Sensor device will be programmed to process locally the ECG signal and to raise an alert. Low-power and miniaturization are essential physical requirements.

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Low-power wireless sensor nodes for ubiquitous long-term biomedical signal monitoring

IEEE Communications Magazine ◽

10.1109/mcom.2012.6122528 ◽

2012 ◽

Vol 50 (1) ◽

pp. 20-27 ◽

Cited By ~ 56

Author(s):

Christian Bachmann ◽

Maryam Ashouei ◽

Valer Pop ◽

Maja Vidojkovic ◽

Harmke Groot ◽

...

Keyword(s):

Low Power ◽

Sensor Nodes ◽

Wireless Sensor ◽

Wireless Sensor Nodes ◽

Biomedical Signal ◽

Signal Monitoring

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SEAMLESS ROAMING CONTEXT-AWARE IN REMOTE HEALTHCARE SYSTEM

Journal of Science and Technology - IUH ◽

10.46242/jst-iuh.v47i05.759 ◽

2021 ◽

Vol 47 (05) ◽

Author(s):

ONG MẪU DŨNG

Keyword(s):

Sensor Data ◽

Area Network ◽

Transmission Networks ◽

Remote Healthcare ◽

Wireless Interface ◽

Rate Sensor ◽

Electrocardiogram Ecg ◽

Electroencephalogram Eeg

In the health-care system, parameters of patients such as Electroencephalogram (EEG), Electrocardiogram (ECG), Electromyogram (EMG), Glucose, Blood pressure, motion, etc. are monitored in real-time that assist doctors to timely detect and treat unexpected risks of patients. Thus, it is critical for collected sensor data seamlessly roaming between various types of wireless transmission networks such as Personal Area Network (PAN), Wireless Fidelity (WiFi), Long Term Evolution (LTE). Moreover, congestion carrier frequency between multiple close-by PANs can cause high packet drop rates and useless energy consumption of sensors. From above reasons, we proposed a protocol for PAN-gateway to integrate many wireless communication standards (typically ZigBee, WiFi, LTE) and an optimal control network algorithm for Quality of Service (QoS). Flows of sensor data are seamlessly transmitted through many wireless interface standards in order to achieved the best average data rate; sensor energy used effectively and fairness/priority between many users.

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A Fully-Integrated 71 nW CMOS Temperature Sensor for Low Power Wireless Sensor Nodes

IEEE Journal of Solid-State Circuits ◽

10.1109/jssc.2014.2325574 ◽

2014 ◽

Vol 49 (8) ◽

pp. 1682-1693 ◽

Cited By ~ 92

Author(s):

Seokhyeon Jeong ◽

Zhiyoong Foo ◽

Yoonmyung Lee ◽

Jae-Yoon Sim ◽

David Blaauw ◽

...

Keyword(s):

Low Power ◽

Temperature Sensor ◽

Sensor Nodes ◽

Wireless Sensor ◽

Wireless Sensor Nodes ◽

Fully Integrated

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Design of a piezoelectric energy conversion based wind generator

International Journal of Electrical Engineering Education ◽

10.1177/00207209211013466 ◽

2021 ◽

pp. 002072092110134

Author(s):

Sibel Akkaya Oy ◽

Ali Ekber Özdemir

Keyword(s):

Low Power ◽

Energy Conversion ◽

Output Voltage ◽

Sensor Nodes ◽

Maximum Output ◽

Wireless Sensor Nodes ◽

Wind Speeds ◽

Wind Generator ◽

Piezoelectric Energy ◽

Renewable Energy Generation

This manuscript presents a new experimental wind generator based on piezoelectric energy conversion for low power applications. The aim is to demonstrate an alternative renewable energy generation method for low power applications. The generator has four blades of a propeller equipped with a total of twenty-four (24) thin film piezoelectric transducers (TFPTs). The output voltage is generated using a newly developed circuit topology. The generator was tested at three wind speeds 10 m/s, 14 m/s and 18 m/s, with a maximum output voltage of 10.2 V being produced at a wind speed of 18 m/s. Results show that this generator has promise to be suitable for low power batteryless applications, for example wireless sensor nodes (WSN).

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Practical aspects of cellular M2M systems design

Facta universitatis - series Electronics and Energetics ◽

10.2298/fuee1504541p ◽

2015 ◽

Vol 28 (4) ◽

pp. 541-556

Author(s):

Aneta Prijic ◽

Ljubomir Vracar ◽

Dusan Vuckovic ◽

Danijel Dankovic ◽

Zoran Prijic

Keyword(s):

Systems Design ◽

Sensor Nodes ◽

Wireless Sensor ◽

Software Architectures ◽

Area Network ◽

Application Software ◽

Wide Area Network ◽

Network Systems ◽

Wireless Sensor Nodes ◽

Design Challenges

This paper highlights some crucial design challenges of Machine-to-Machine (M2M) systems. The focus is on the cellular based, wireless wide area network systems. Design of M2M terminals, used as wireless sensor nodes, is covered in detail, including the criteria for selecting appropriate core and hard- ware peripherals. Discussion is extended to modeling and design of terminal?s embedded software. Communication using framework and backend application software architectures are explored. Practical examples of the described design principles are demonstrated.

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A Universal Energy Harvesting Scheme for Operating Low-Power Wireless Sensor Nodes Using Multiple Energy Resources

Springer Tracts in Mechanical Engineering - Micro and Smart Devices and Systems ◽

10.1007/978-81-322-1913-2_27 ◽

2014 ◽

pp. 453-466 ◽

Cited By ~ 2

Author(s):

K. J. Vinoy ◽

T. V. Prabhakar

Keyword(s):

Energy Harvesting ◽

Low Power ◽

Energy Resources ◽

Sensor Nodes ◽

Wireless Sensor ◽

Wireless Sensor Nodes

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An Adaptive Genetic Algorithm of Adjusting Sensor Acquisition Frequency

Sensors ◽

10.3390/s20040990 ◽

2020 ◽

Vol 20 (4) ◽

pp. 990 ◽

Cited By ~ 4

Author(s):

Feng Chen ◽

Shouzhi Xu ◽

Ying Zhao ◽

Hui Zhang

Keyword(s):

Genetic Algorithm ◽

Data Acquisition ◽

Reducing Power ◽

Sensor Nodes ◽

Monitoring Data ◽

Adaptive Genetic Algorithm ◽

Environment Monitoring ◽

Wireless Sensor Nodes ◽

Acquisition Strategies

Portable meteorological stations are widely applied in environment monitoring systems, but they are always limited in power-supplying due to no cable power, especially in long-term monitoring scenarios. Reducing power consumption by adjusting a suitable frequency of sensor acquisition is very important for wireless sensor nodes. The regularity of historical environment data from a monitoring system is analyzed, and then an optimization model of an adaptive genetic algorithm for environment monitoring data acquisition strategies is proposed to lessen sampling frequency. According to the historical characteristics, the algorithm dynamically changes the recent data acquisition frequency so as to collect data with a smaller acquisition frequency, which will reduce the energy consumption of the sensor. Experiment results in a practical environment show that the algorithm can greatly reduce the acquisition frequency, and can obtain the environment monitoring data changing curve with less error compared with the high-frequency acquisition of fixed frequency.

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