On the Design of Low-Cost IoT Sensor Node for e-Health Environments
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-c...
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doaj-225a60819f324d038087933695b415502020-11-25T01:06:05ZengMDPI AGElectronics2079-92922019-02-018217810.3390/electronics8020178electronics8020178On the Design of Low-Cost IoT Sensor Node for e-Health EnvironmentsNikos Petrellis0Michael Birbas1Fotios Gioulekas2Department of Computer Science and Engineering, ATEI of Thessaly, 41110 Larissa, GreeceDepartment of Electrical and Computer Engineering, University of Patras, Campus of Rion, 26504 Patras, GreeceDepartment of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceThe 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.https://www.mdpi.com/2079-9292/8/2/178e-health environmentsensor applicationspatient monitoringmedical IoT sensor nodeslow-poweraccuracyIoT platforms |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nikos Petrellis Michael Birbas Fotios Gioulekas |
spellingShingle |
Nikos Petrellis Michael Birbas Fotios Gioulekas On the Design of Low-Cost IoT Sensor Node for e-Health Environments Electronics e-health environment sensor applications patient monitoring medical IoT sensor nodes low-power accuracy IoT platforms |
author_facet |
Nikos Petrellis Michael Birbas Fotios Gioulekas |
author_sort |
Nikos Petrellis |
title |
On the Design of Low-Cost IoT Sensor Node for e-Health Environments |
title_short |
On the Design of Low-Cost IoT Sensor Node for e-Health Environments |
title_full |
On the Design of Low-Cost IoT Sensor Node for e-Health Environments |
title_fullStr |
On the Design of Low-Cost IoT Sensor Node for e-Health Environments |
title_full_unstemmed |
On the Design of Low-Cost IoT Sensor Node for e-Health Environments |
title_sort |
on the design of low-cost iot sensor node for e-health environments |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2019-02-01 |
description |
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. |
topic |
e-health environment sensor applications patient monitoring medical IoT sensor nodes low-power accuracy IoT platforms |
url |
https://www.mdpi.com/2079-9292/8/2/178 |
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