Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0—Toward the Creation of Digital-Twin Model
The prevalence of chronic diseases and the rapid rise in the aging population are some of the major challenges in our society. The utilization of the latest and unique technologies to provide fast, accurate, and economical ways to collect and process data is inevitable. Industry 4.0 (I4.0) is a tren...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/21/8519 |
| _version_ | 1797466493283205120 |
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| author | Sagheer Khan Imran M. Saied Tharmalingam Ratnarajah Tughrul Arslan |
| author_facet | Sagheer Khan Imran M. Saied Tharmalingam Ratnarajah Tughrul Arslan |
| author_sort | Sagheer Khan |
| collection | DOAJ |
| description | The prevalence of chronic diseases and the rapid rise in the aging population are some of the major challenges in our society. The utilization of the latest and unique technologies to provide fast, accurate, and economical ways to collect and process data is inevitable. Industry 4.0 (I4.0) is a trend toward automation and data exchange. The utilization of the same concept of I4.0 in healthcare is termed Healthcare 4.0 (H4.0). Digital Twin (DT) technology is an exciting and open research field in healthcare. DT can provide better healthcare in terms of improved patient monitoring, better disease diagnosis, the detection of falls in stroke patients, and the analysis of abnormalities in breathing patterns, and it is suitable for pre- and post-surgery routines to reduce surgery complications and improve recovery. Accurate data collection is not only important in medical diagnoses and procedures but also in the creation of healthcare DT models. Health-related data acquisition by unobtrusive microwave sensing is considered a cornerstone of health informatics. This paper presents the 3D modeling and analysis of unobtrusive microwave sensors in a digital care-home model. The sensor is studied for its performance and data-collection capability with regards to patients in care-home environments. |
| first_indexed | 2024-03-09T18:40:34Z |
| format | Article |
| id | doaj.art-e3fa6ef38f0f4ae28a11ffa6513dc6e6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T18:40:34Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e3fa6ef38f0f4ae28a11ffa6513dc6e62023-11-24T06:49:22ZengMDPI AGSensors1424-82202022-11-012221851910.3390/s22218519Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0—Toward the Creation of Digital-Twin ModelSagheer Khan0Imran M. Saied1Tharmalingam Ratnarajah2Tughrul Arslan3School of Engineering, The University of Edinburgh, Edinburgh EH9 3FF, UKSchool of Engineering, The University of Edinburgh, Edinburgh EH9 3FF, UKSchool of Engineering, The University of Edinburgh, Edinburgh EH9 3FF, UKSchool of Engineering, The University of Edinburgh, Edinburgh EH9 3FF, UKThe prevalence of chronic diseases and the rapid rise in the aging population are some of the major challenges in our society. The utilization of the latest and unique technologies to provide fast, accurate, and economical ways to collect and process data is inevitable. Industry 4.0 (I4.0) is a trend toward automation and data exchange. The utilization of the same concept of I4.0 in healthcare is termed Healthcare 4.0 (H4.0). Digital Twin (DT) technology is an exciting and open research field in healthcare. DT can provide better healthcare in terms of improved patient monitoring, better disease diagnosis, the detection of falls in stroke patients, and the analysis of abnormalities in breathing patterns, and it is suitable for pre- and post-surgery routines to reduce surgery complications and improve recovery. Accurate data collection is not only important in medical diagnoses and procedures but also in the creation of healthcare DT models. Health-related data acquisition by unobtrusive microwave sensing is considered a cornerstone of health informatics. This paper presents the 3D modeling and analysis of unobtrusive microwave sensors in a digital care-home model. The sensor is studied for its performance and data-collection capability with regards to patients in care-home environments.https://www.mdpi.com/1424-8220/22/21/8519digital twinhealthcare 4.0Industry 4.0unobtrusive sensorsmicrowave sensing |
| spellingShingle | Sagheer Khan Imran M. Saied Tharmalingam Ratnarajah Tughrul Arslan Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0—Toward the Creation of Digital-Twin Model Sensors digital twin healthcare 4.0 Industry 4.0 unobtrusive sensors microwave sensing |
| title | Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0—Toward the Creation of Digital-Twin Model |
| title_full | Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0—Toward the Creation of Digital-Twin Model |
| title_fullStr | Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0—Toward the Creation of Digital-Twin Model |
| title_full_unstemmed | Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0—Toward the Creation of Digital-Twin Model |
| title_short | Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0—Toward the Creation of Digital-Twin Model |
| title_sort | evaluation of unobtrusive microwave sensors in healthcare 4 0 toward the creation of digital twin model |
| topic | digital twin healthcare 4.0 Industry 4.0 unobtrusive sensors microwave sensing |
| url | https://www.mdpi.com/1424-8220/22/21/8519 |
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