Model Predictive Control and Its Role in Biomedical Therapeutic Automation: A Brief Review
The reliable and effective automation of biomedical therapies is the need of the hour for medical professionals. A model predictive controller (MPC) has the ability to handle complex and dynamic systems involving multiple inputs/outputs, such as biomedical systems. This article firstly presents a li...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Applied System Innovation |
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| Online Access: | https://www.mdpi.com/2571-5577/5/6/118 |
| _version_ | 1797461544093614080 |
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| author | Sushma Parihar Pritesh Shah Ravi Sekhar Jui Lagoo |
| author_facet | Sushma Parihar Pritesh Shah Ravi Sekhar Jui Lagoo |
| author_sort | Sushma Parihar |
| collection | DOAJ |
| description | The reliable and effective automation of biomedical therapies is the need of the hour for medical professionals. A model predictive controller (MPC) has the ability to handle complex and dynamic systems involving multiple inputs/outputs, such as biomedical systems. This article firstly presents a literature review of MPCs followed by a survey of research reporting the MPC-enabled automation of some biomedical therapies. The review of MPCs includes their evolution, architectures, methodologies, advantages, limitations, categories and implementation software. The review of biomedical conditions (and the applications of MPC in some of the associated therapies) includes type 1 diabetes (including artificial pancreas), anaesthesia, fibromyalgia, HIV, oncolytic viral treatment (for cancer) and hyperthermia (for cancer). Closed-loop and hybrid cyber-physical healthcare systems involving MPC-led automated anaesthesia have been discussed in relatively greater detail. This study finds that much more research attention is required in the MPC-led automation of biomedical therapies to reduce the workload of medical personnel. In particular, many more investigations are required to explore the MPC-based automation of hyperthermia (cancer) and fibromyalgia therapies. |
| first_indexed | 2024-03-09T17:20:54Z |
| format | Article |
| id | doaj.art-3783edbccf3942369079a55879538a5e |
| institution | Directory Open Access Journal |
| issn | 2571-5577 |
| language | English |
| last_indexed | 2024-03-09T17:20:54Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied System Innovation |
| spelling | doaj.art-3783edbccf3942369079a55879538a5e2023-11-24T13:09:52ZengMDPI AGApplied System Innovation2571-55772022-11-015611810.3390/asi5060118Model Predictive Control and Its Role in Biomedical Therapeutic Automation: A Brief ReviewSushma Parihar0Pritesh Shah1Ravi Sekhar2Jui Lagoo3Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University) (SIU), Pune 412115, IndiaSymbiosis Institute of Technology (SIT), Symbiosis International (Deemed University) (SIU), Pune 412115, IndiaSymbiosis Institute of Technology (SIT), Symbiosis International (Deemed University) (SIU), Pune 412115, IndiaSymbiosis Medical College for Women (SMCW), Symbiosis International (Deemed University) (SIU), Pune 412115, IndiaThe reliable and effective automation of biomedical therapies is the need of the hour for medical professionals. A model predictive controller (MPC) has the ability to handle complex and dynamic systems involving multiple inputs/outputs, such as biomedical systems. This article firstly presents a literature review of MPCs followed by a survey of research reporting the MPC-enabled automation of some biomedical therapies. The review of MPCs includes their evolution, architectures, methodologies, advantages, limitations, categories and implementation software. The review of biomedical conditions (and the applications of MPC in some of the associated therapies) includes type 1 diabetes (including artificial pancreas), anaesthesia, fibromyalgia, HIV, oncolytic viral treatment (for cancer) and hyperthermia (for cancer). Closed-loop and hybrid cyber-physical healthcare systems involving MPC-led automated anaesthesia have been discussed in relatively greater detail. This study finds that much more research attention is required in the MPC-led automation of biomedical therapies to reduce the workload of medical personnel. In particular, many more investigations are required to explore the MPC-based automation of hyperthermia (cancer) and fibromyalgia therapies.https://www.mdpi.com/2571-5577/5/6/118model predictive controllerbiomedical therapy automationdiabetesanaesthesiaartificial pancreashyperthermia |
| spellingShingle | Sushma Parihar Pritesh Shah Ravi Sekhar Jui Lagoo Model Predictive Control and Its Role in Biomedical Therapeutic Automation: A Brief Review Applied System Innovation model predictive controller biomedical therapy automation diabetes anaesthesia artificial pancreas hyperthermia |
| title | Model Predictive Control and Its Role in Biomedical Therapeutic Automation: A Brief Review |
| title_full | Model Predictive Control and Its Role in Biomedical Therapeutic Automation: A Brief Review |
| title_fullStr | Model Predictive Control and Its Role in Biomedical Therapeutic Automation: A Brief Review |
| title_full_unstemmed | Model Predictive Control and Its Role in Biomedical Therapeutic Automation: A Brief Review |
| title_short | Model Predictive Control and Its Role in Biomedical Therapeutic Automation: A Brief Review |
| title_sort | model predictive control and its role in biomedical therapeutic automation a brief review |
| topic | model predictive controller biomedical therapy automation diabetes anaesthesia artificial pancreas hyperthermia |
| url | https://www.mdpi.com/2571-5577/5/6/118 |
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