2010
DOI: 10.1109/tce.2010.5681102
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Wireless sensor network based e-health system - implementation and experimental results

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Cited by 144 publications
(74 citation statements)
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“…The BSN is responsible for a single user, whereas WSN handles numerous users and aggregate user's biometrics in a whole network. Networked computing [8] and experimental analysis [9] have been carried out for health monitoring using WSNs using Bluetooth and ZigBee. Besides health monitoring, autodiagnosis of diseases like cardiovascular diseases [10][11][12] and inflammation [13] have gained more concern.…”
Section: Applications and Case Studies Of State-of-the-art Wirementioning
confidence: 99%
See 1 more Smart Citation
“…The BSN is responsible for a single user, whereas WSN handles numerous users and aggregate user's biometrics in a whole network. Networked computing [8] and experimental analysis [9] have been carried out for health monitoring using WSNs using Bluetooth and ZigBee. Besides health monitoring, autodiagnosis of diseases like cardiovascular diseases [10][11][12] and inflammation [13] have gained more concern.…”
Section: Applications and Case Studies Of State-of-the-art Wirementioning
confidence: 99%
“…Auto-diagnosis of diseases is a key feature for future in healthcare networks and more important than measuring the biometrics in [7]- [9]. A few open access databases can be utilized for training using machine learning algorithms.…”
Section: Applications and Case Studies Of State-of-the-art Wirementioning
confidence: 99%
“…Not only can such a system be used to monitor patients remotely, using the processing power of the host, it can also be used to generate alerts based on the patient's condition or automatically update the triage status. Due to the inexpensive nature and open architecture of the hardware, multiple devices can be easily distributed with little replacement cost [77,78,79,80]. Figure 16 then shows an e-Health kit as associated with the Raspberry Pi [81].…”
Section: Digital First Respondermentioning
confidence: 99%
“…They analyzed the user's situation, biological information, and lifestyle (e.g., budget, workload, and spare time) and then provided advice on purchasing appropriate foods. Yan et al [20] used body sensors for monitoring the movement of elderly people. They proposed a mixed positioning algorithm to determine the location of an elderly person to determine that person's activities and to make decisions about his/her health status.…”
Section: B Healthcarementioning
confidence: 99%