- Title
- Monitoring body motions related to Huntington disease by exploiting the 5G Paradigm
- Creator
- Haider, Daniyal; Romain, Olivier; Kernec, Julien Le; Shah, Syed Yaseen; Farooq, Malik Muhammad Umer; Qadus, Zunaira
- Date
- 2019
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/183852
- Identifier
- vital:16374
- Identifier
-
https://doi.org/10.1109/UCET.2019.8881867
- Identifier
- ISBN:978-981-10-6631-3
- Abstract
- The modern wireless technology exploiting the full potential of 5G IoT is the future for healthcare sector. In the healthcare sector, the 5G technology will maximize the performance and will reduce the chances of damage to the patient by providing careful and advance activity monitoring scenarios. We have proposed the idea of monitoring different body posture in Huntington disease by exploiting the low cost wireless devices operating at 4.8 GHz frequency. The system captures the wireless channel information for three body motions and classification of these motions was performed by using support vector machine. The SVM used 10 time-domain features for the classification process by using three main kernel functions, such as, Linear, Polynomial and Radial basis function. The system minimizes all the external noise by using the microwave absorbing materials. This increases the performance and feasibility of sensing body motions.
- Publisher
- IEEE
- Relation
- 2019 UK/ China Emerging Technologies (UCET); Glasgow UK; 21-22 August 2019 p. 1-4
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright IEEE
- Subject
- Diseases; Huntington disease; Internet of things; Monitoring; Sensors; Support vector machine; Support vector machines; Wireless channel information; Wireless communication; Wireless sensing; Wireless sensor networks
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