Abstract
The radio frequency (RF) sensing is an evolving technique in the field of healthcare sector. This chapter covers various RF sensing technologies as support for healthcare applications. Initially, the detection, monitoring, and working function of this technology is discussed, covering insight of signal processing of the various sensing devices and artificial intelligence-based algorithms. The applications of radio frequency wireless sensing considering remote healthcare sector include falls, FOG, breath detection, and walking behavior leverage movement induced by a subject to determine the abnormalities due to disease related to body motion. Majority of the radio frequency sensing systems that encounter numerous challenges should be addressed in order to provide the reliable healthcare solutions. The chapter provides some of them. It also provides a brief background into three widely used radio frequency sensing systems, namely Wi-Fi, radar, and radio-frequency identification sensing systems. The chapter also discusses their different parameters.
| Original language | English |
|---|---|
| Title of host publication | Backscattering and RF Sensing for Future Wireless Communication |
| Editors | Qammer H. Abbasi , Hasan T. Abbas, Akram Alomainy, Muhammad Ali Imran |
| Publisher | Wiley |
| Chapter | 8 |
| Pages | 157-177 |
| Number of pages | 21 |
| Edition | 1 |
| ISBN (Electronic) | 9781119695721 |
| ISBN (Print) | 9781119695653 |
| DOIs | |
| Publication status | Published - 8 Jun 2021 |
Bibliographical note
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