Next Article in Journal
Sequencing Batch Reactor and Bacterial Community in Aerobic Granular Sludge for Wastewater Treatment of Noodle-Manufacturing Sector
Next Article in Special Issue
Respiration Symptoms Monitoring in Body Area Networks
Previous Article in Journal
Multi-Objective and Multi-Rate Control of the Grinding and Classification Circuit with Electromagnetic Mill
Previous Article in Special Issue
Emergency-Prioritized Asymmetric Protocol for Improving QoS of Energy-Constraint Wearable Device in Wireless Body Area Networks
Open AccessArticle

Internet of Things for Sensing: A Case Study in the Healthcare System

School of International Education, Xidian University, Xi’an 710071, Shaanxi, China
School of Electronic Engineering, Xidian University, Xi’an 710071, Shaanxi, China
Northwest Women’s and Children’s Hospital, Xi’an 710061, Shaanxi, China
School of Computer Science and Technology, University of Bedfordshire, Luton LU1 3JU, UK
Electrical Engineering Department, University of Tabuk, Tabuk 71491, Saudi Arabia
School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(4), 508;
Received: 1 December 2017 / Revised: 10 March 2018 / Accepted: 19 March 2018 / Published: 27 March 2018
(This article belongs to the Special Issue Wearable Wireless Devices)
Medical healthcare is one of the fascinating applications using Internet of Things (IoTs). The pervasive smart environment in IoTs has the potential to monitor various human activities by deploying smart devices. In our pilot study, we look at narcolepsy, a disorder in which individuals lose the ability to regulate their sleep-wake cycle. An imbalance in the brain chemical called orexin makes the sleep pattern irregular. This sleep disorder in patients suffering from narcolepsy results in them experience irrepressible sleep episodes while performing daily routine activities. This study presents a novel method for detecting sleep attacks or sleepiness due to immune system attacks and affecting daily activities measured using the S-band sensing technique. The S-Band sensing technique is channel sensing based on frequency spectrum sensing using the orthogonal frequency division multiplexing transmission at a 2 to 4 GHz frequency range leveraging amplitude and calibrated phase information of different frequencies obtained using wireless devices such as card, and omni-directional antenna. Each human behavior induces a unique channel information (CI) signature contained in amplitude and phase information. By linearly transforming raw phase measurements into calibrated phase information, we ascertain phase coherence. Classification and validation of various human activities such as walking, sitting on a chair, push-ups, and narcolepsy sleep episodes are done using support vector machine, K-nearest neighbor, and random forest algorithms. The measurement and evaluation were carried out several times with classification values of accuracy, precision, recall, specificity, Kappa, and F-measure of more than 90% that were achieved when delineating sleep attacks. View Full-Text
Keywords: Internet of Things; S-band sensing; smart devices Internet of Things; S-band sensing; smart devices
Show Figures

Figure 1

MDPI and ACS Style

Shah, S.A.; Ren, A.; Fan, D.; Zhang, Z.; Zhao, N.; Yang, X.; Luo, M.; Wang, W.; Hu, F.; Rehman, M.U.; Badarneh, O.S.; Abbasi, Q.H. Internet of Things for Sensing: A Case Study in the Healthcare System. Appl. Sci. 2018, 8, 508.

AMA Style

Shah SA, Ren A, Fan D, Zhang Z, Zhao N, Yang X, Luo M, Wang W, Hu F, Rehman MU, Badarneh OS, Abbasi QH. Internet of Things for Sensing: A Case Study in the Healthcare System. Applied Sciences. 2018; 8(4):508.

Chicago/Turabian Style

Shah, Syed A.; Ren, Aifeng; Fan, Dou; Zhang, Zhiya; Zhao, Nan; Yang, Xiaodong; Luo, Ming; Wang, Weigang; Hu, Fangming; Rehman, Masood U.; Badarneh, Osamah S.; Abbasi, Qammer H. 2018. "Internet of Things for Sensing: A Case Study in the Healthcare System" Appl. Sci. 8, no. 4: 508.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop