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Abu Ali, N.A., Rehman, M., Mumtaz, S. 
ORCID: 0000-0001-6364-6149, Khan, M.B., Hayajneh, M., Ullah, F. and Shah, R.A.,
2024.
Contactless diseases diagnoses using wireless communication sensing: methods and challenges survey.
ACM Computing Surveys, 56 (9): 226.
ISSN 0360-0300
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1897928_Mumtaz.pdf - Published version Download (7MB) | Preview |
Abstract
Respiratory illness diagnosis and continuous monitoring are becoming popular as sensitive markers of chronic diseases. This interest has motivated the increased development of respiratory illness diagnosis by exploiting wireless communication as a sensing system. Several methods for diagnosing a respiratory illness are based on multiple sensors and techniques. Depending on whether the device embeds the sensor in contact with the body or not, these techniques are commonly categorized as contact based or contactless. Contactless methods have gained increasing popularity due to their ubiquitous nature, non-intrusiveness, and low cost. However, contactless methods are difficult to implement, with several challenges such as dynamic wireless communication environments. This article comprehensively reviews all contactless respiratory illnesses using wireless communication sensing methods, their associated challenges, and issues. In addition, applications of respiratory illness diagnosis methods using wireless communication are provided to investigate each method's potential development and applicability. Continuous and accurate diagnosis of respiratory illness using wireless communication sensing systems can assist caregivers in enhancing the care quality and bestowing patients with more freedom for both inpatients and outpatients. Furthermore, wireless communication monitoring systems could lead to treatment plans remotely more effectively, decrease the duration of patient stays in medical facilities, and reduce overall treatment costs.
| Item Type: | Journal article | ||||||
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| Publication Title: | ACM Computing Surveys | ||||||
| Creators: | Abu Ali, N.A., Rehman, M., Mumtaz, S., Khan, M.B., Hayajneh, M., Ullah, F. and Shah, R.A. | ||||||
| Publisher: | Association for Computing Machinery (ACM) | ||||||
| Date: | September 2024 | ||||||
| Volume: | 56 | ||||||
| Number: | 9 | ||||||
| ISSN: | 0360-0300 | ||||||
| Identifiers: |
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| Rights: | © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Melissa Cornwell | ||||||
| Date Added: | 29 May 2024 10:49 | ||||||
| Last Modified: | 29 May 2024 10:49 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/51481 |
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