Internet of things for sensing: A case study in the healthcare system

Syed Shah, Aifeng Ren, Dou Fan, Zhiya Zhang, Nan Zhao, Xiaodong Yang, Ming Luo, Weigang Wang, Fangming Hu, Masood Ur-Rehman, Osamah S. Badarneh, Qammer Hussain Abbas

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)
27 Downloads (Pure)


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 …
Original languageEnglish
Article number508
Number of pages16
JournalApplied Sciences
Issue number4
Publication statusPublished - 4 Apr 2018
Externally publishedYes

Bibliographical note

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


  • Internet of Things
  • S-band sensing
  • smart devices


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