Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence
Artificial Intelligence (AI) has broadly connected the medical field at various levels of diagnosis based on the congruous data generated. Different types of bio-signal can be used to monitor a patient’s condition and in decision making. Medical equipment uses signals to communicate information to c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Journal of Sensor and Actuator Networks |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2224-2708/11/1/17 |
| _version_ | 1797446291499778048 |
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| author | Mudrakola Swapna Uma Maheswari Viswanadhula Rajanikanth Aluvalu Vijayakumar Vardharajan Ketan Kotecha |
| author_facet | Mudrakola Swapna Uma Maheswari Viswanadhula Rajanikanth Aluvalu Vijayakumar Vardharajan Ketan Kotecha |
| author_sort | Mudrakola Swapna |
| collection | DOAJ |
| description | Artificial Intelligence (AI) has broadly connected the medical field at various levels of diagnosis based on the congruous data generated. Different types of bio-signal can be used to monitor a patient’s condition and in decision making. Medical equipment uses signals to communicate information to care staff. AI algorithms and approaches will help to predict health problems and check the health status of organs, while AI prediction, classification, and regression algorithms are helping the medical industry to protect from health hazards. The early prediction and detection of health conditions will guide people to stay healthy. This paper represents the scope of bio-signals using AI in the medical area. It will illustrate possible case studies relevant to bio-signals generated through IoT sensors. The bio-signals that retrospectively occur are discussed, and the new challenges of medical diagnosis using bio-signals are identified. |
| first_indexed | 2024-03-09T13:38:12Z |
| format | Article |
| id | doaj.art-8929aaff51b74011add280bcad4011b5 |
| institution | Directory Open Access Journal |
| issn | 2224-2708 |
| language | English |
| last_indexed | 2024-03-09T13:38:12Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Sensor and Actuator Networks |
| spelling | doaj.art-8929aaff51b74011add280bcad4011b52023-11-30T21:09:41ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082022-02-011111710.3390/jsan11010017Bio-Signals in Medical Applications and Challenges Using Artificial IntelligenceMudrakola Swapna0Uma Maheswari Viswanadhula1Rajanikanth Aluvalu2Vijayakumar Vardharajan3Ketan Kotecha4Department of Computer Science and Engineering, Matrusri Engineering College, Hyderabad 500058, IndiaDepartment of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad 501218, IndiaDepartment of IT, Chaitanya Bharathi Institute of Technology(A), Hyderabad 500075, IndiaSchool of Computer Science and Engineering, The University of New South Wales, Sydney 1466, AustraliaSymbiosis Centre for Applied Artificial Intelligence, Symbiosis International University, Pune 412115, IndiaArtificial Intelligence (AI) has broadly connected the medical field at various levels of diagnosis based on the congruous data generated. Different types of bio-signal can be used to monitor a patient’s condition and in decision making. Medical equipment uses signals to communicate information to care staff. AI algorithms and approaches will help to predict health problems and check the health status of organs, while AI prediction, classification, and regression algorithms are helping the medical industry to protect from health hazards. The early prediction and detection of health conditions will guide people to stay healthy. This paper represents the scope of bio-signals using AI in the medical area. It will illustrate possible case studies relevant to bio-signals generated through IoT sensors. The bio-signals that retrospectively occur are discussed, and the new challenges of medical diagnosis using bio-signals are identified.https://www.mdpi.com/2224-2708/11/1/17artificial intelligencesignal processingbio-medical signal processingsmart health devicessensorsbio-signals |
| spellingShingle | Mudrakola Swapna Uma Maheswari Viswanadhula Rajanikanth Aluvalu Vijayakumar Vardharajan Ketan Kotecha Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence Journal of Sensor and Actuator Networks artificial intelligence signal processing bio-medical signal processing smart health devices sensors bio-signals |
| title | Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence |
| title_full | Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence |
| title_fullStr | Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence |
| title_full_unstemmed | Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence |
| title_short | Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence |
| title_sort | bio signals in medical applications and challenges using artificial intelligence |
| topic | artificial intelligence signal processing bio-medical signal processing smart health devices sensors bio-signals |
| url | https://www.mdpi.com/2224-2708/11/1/17 |
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