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Open AccessFeature PaperArticle

On the Design of Low-Cost IoT Sensor Node for e-Health Environments

1
Department of Computer Science and Engineering, ATEI of Thessaly, 41110 Larissa, Greece
2
Department of Electrical and Computer Engineering, University of Patras, Campus of Rion, 26504 Patras, Greece
3
Department of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(2), 178; https://doi.org/10.3390/electronics8020178
Received: 31 December 2018 / Revised: 24 January 2019 / Accepted: 29 January 2019 / Published: 2 February 2019
(This article belongs to the Special Issue Low-power Wearable Healthcare Sensors)
The proliferation of Internet of Things (IoT) devices for patient monitoring has gained much attention in clinical care performance, proficient chronic disease management, and home caregiving. This work presents the design of efficient medical IoT sensor nodes (SNs) in terms of low-cost, low power-consumption, and increased data accuracy based on open-source platforms. The method utilizes a Sensor Controller (SC) within the IoT SN, which is capable of performing medical checks supporting a broad coverage of medical uses. A communication protocol has been developed for data and command exchange among SC, local gateways, and physicians’ or patients’ mobile devices (tablets, smart phones). The SC supports moving average window (MAW) and principle component analysis (PCA) filtering algorithms to capture data from the attached low-cost body sensors of different sampling profiles. Significant extensions in SN’s portability is achieved through energy consumption minimization based on the idle time gaps between sensors’ activations. SN’s components are either deactivated or set to low activity operation during these idle intervals. A medical case study is presented and the evaluated results show that the proposed SN can be incorporated into e-health platforms since it achieves comparable accuracy to its certified and high-cost commercial counterparts. View Full-Text
Keywords: e-health environment; sensor applications; patient monitoring; medical IoT sensor nodes; low-power; accuracy; IoT platforms e-health environment; sensor applications; patient monitoring; medical IoT sensor nodes; low-power; accuracy; IoT platforms
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Petrellis, N.; Birbas, M.; Gioulekas, F. On the Design of Low-Cost IoT Sensor Node for e-Health Environments. Electronics 2019, 8, 178.

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