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4 results for “Body Area Network (BAN)”

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Research ArticleOpen accessIn the keywordsPerformance of Energy Detection and Matched Filter Receivers in Human Body Communication ChannelMohamad Abou El-Nasr, Heba Shaban, Mohammed Al-AbyadhThis study studies the Bit-Error-Rate (BER) performance of matched filter and energy detection receivers in Human Body Communication (HBC) channel model. HBC, as defined by the IEEE 802.15 Task Group (TG) 6, is a Body Area Network (BAN) at frequency band 5-50 MHz, where communication is from body surface to body surface. The Bit-Error-Rate (BER) performance is investigated for Energy … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 5 Jan 2013 · 6,694 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Secure Key Management Technique for Wireless Body Area NetworksVenkatasubramanian Sivaprasatham, Jothi VenkateswaranIn Wireless Body Area Networks (WBAN), the key factors to be considered for transmission of confidential data are security and privacy as it is mostly having applications in emergency medical response systems. The lack of security may lead to loss of data privacy resulting in an adversary to bring in bogus data or altering the legal ones. Hence in this … …Journal of Computer Science, Vol. 8, Issue 11 · 5 Sep 2012 · 7,201 accessesView PDFCite
Research ArticleOpen accessIn the abstractEdge Computing Enabled Human Activity Recognition (ECEHAR) Using LSTM and CNNSuresh Kumar, M Y. Mohamed ParveesHuman Activity Recognition (HAR) is an important research area for various application domains such as healthcare, gaming, telemonitoring, and sports. However, executing HAR algorithms on remote servers or in the cloud have challenges in terms of high latency, increased bandwidth demand, and high energy consumption. Moving the computation to edge-assisted HAR is more effective and flexible solution to address the … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,578 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA LIGHT-WEIGHT CRYPTOGRAPHY ANALYSIS FOR WIRELESS BASED HEALTHCARE APPLICATIONSS. Sangari, Martin Leo ManickamPatient health monitoring devices are flexible. Powerful ECG acquisition system is used at anytime and anywhere in the patient monitoring system. The increasing feasibility and convenience of mobile healthcare has already introduced several significant challenges in hospitals, healthcare providers, policy makers and patients. This study provides adaptive humming bird algorithm of light weight cryptography. This method has higher level of … …Journal of Computer Science, Vol. 10, Issue 10 · 28 Jun 2014 · 6,893 accessesView PDFCite