The Optical Parameter Optimization for Brain Implant Alzheimer Sensor Using Phototherapy Angle and Wavelength Simulation (PAWS) Methodology
Photonic therapy is emerging as a promising method in neuroscience for addressing Alzheimer’s disease (AD). This study uses computational simulations to investigate the impact of specific wavelengths emitted by photodiodes on the light absorption rates in brain tissue for brain implant sensors. Addi...
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| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/22/7282 |
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| author | So-Hyun Cho Chang-Hee Won Chang-Hyun Kim Jong-Ha Lee |
| author_facet | So-Hyun Cho Chang-Hee Won Chang-Hyun Kim Jong-Ha Lee |
| author_sort | So-Hyun Cho |
| collection | DOAJ |
| description | Photonic therapy is emerging as a promising method in neuroscience for addressing Alzheimer’s disease (AD). This study uses computational simulations to investigate the impact of specific wavelengths emitted by photodiodes on the light absorption rates in brain tissue for brain implant sensors. Additionally, it presents a novel methodology that enhances light absorption via multi-parameter optimization. By adjusting the angle and wavelength of the incident light, the absorption rate was significantly enhanced using four photodiodes, each emitting at 660 nm with a power input of 3 mW. Notably, an incident angle of 20 degrees optimized light absorption and minimized thermal effects on brain tissue. The findings indicate that photodiodes within the near-infrared spectrum are suitable for low-temperature therapeutic applications in brain tissues, affirming the viability of non-invasive and safe photonic therapy. This research contributes foundational data for advancing brain implant photonic sensor design and therapeutic strategies. Furthermore, it establishes conditions for achieving high light absorption rates with minimal heat generation, identifying optimal parameters for efficient energy transfer. |
| format | Article |
| id | doaj-art-9145f0f6e1c24f828d3f3fd94217f5ca |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-9145f0f6e1c24f828d3f3fd94217f5ca2024-11-26T18:21:22ZengMDPI AGSensors1424-82202024-11-012422728210.3390/s24227282The Optical Parameter Optimization for Brain Implant Alzheimer Sensor Using Phototherapy Angle and Wavelength Simulation (PAWS) MethodologySo-Hyun Cho0Chang-Hee Won1Chang-Hyun Kim2Jong-Ha Lee3Department of Biomedical Engineering, School of Engineering, Keimyung University, Daegu 42601, Republic of KoreaDepartment of Electrical Engineering, School of Engineering, Temple University, Philadelphia, PA 19122, USADepartment of Neurosurgery, Keimyung University Dongsan Hospital, Daegu 42601, Republic of KoreaDepartment of Biomedical Engineering, School of Engineering, Keimyung University, Daegu 42601, Republic of KoreaPhotonic therapy is emerging as a promising method in neuroscience for addressing Alzheimer’s disease (AD). This study uses computational simulations to investigate the impact of specific wavelengths emitted by photodiodes on the light absorption rates in brain tissue for brain implant sensors. Additionally, it presents a novel methodology that enhances light absorption via multi-parameter optimization. By adjusting the angle and wavelength of the incident light, the absorption rate was significantly enhanced using four photodiodes, each emitting at 660 nm with a power input of 3 mW. Notably, an incident angle of 20 degrees optimized light absorption and minimized thermal effects on brain tissue. The findings indicate that photodiodes within the near-infrared spectrum are suitable for low-temperature therapeutic applications in brain tissues, affirming the viability of non-invasive and safe photonic therapy. This research contributes foundational data for advancing brain implant photonic sensor design and therapeutic strategies. Furthermore, it establishes conditions for achieving high light absorption rates with minimal heat generation, identifying optimal parameters for efficient energy transfer.https://www.mdpi.com/1424-8220/24/22/7282Alzheimer sensorcomputational simulationlight absorptionphototherapy optimizationtherapeutic light angle |
| spellingShingle | So-Hyun Cho Chang-Hee Won Chang-Hyun Kim Jong-Ha Lee The Optical Parameter Optimization for Brain Implant Alzheimer Sensor Using Phototherapy Angle and Wavelength Simulation (PAWS) Methodology Sensors Alzheimer sensor computational simulation light absorption phototherapy optimization therapeutic light angle |
| title | The Optical Parameter Optimization for Brain Implant Alzheimer Sensor Using Phototherapy Angle and Wavelength Simulation (PAWS) Methodology |
| title_full | The Optical Parameter Optimization for Brain Implant Alzheimer Sensor Using Phototherapy Angle and Wavelength Simulation (PAWS) Methodology |
| title_fullStr | The Optical Parameter Optimization for Brain Implant Alzheimer Sensor Using Phototherapy Angle and Wavelength Simulation (PAWS) Methodology |
| title_full_unstemmed | The Optical Parameter Optimization for Brain Implant Alzheimer Sensor Using Phototherapy Angle and Wavelength Simulation (PAWS) Methodology |
| title_short | The Optical Parameter Optimization for Brain Implant Alzheimer Sensor Using Phototherapy Angle and Wavelength Simulation (PAWS) Methodology |
| title_sort | optical parameter optimization for brain implant alzheimer sensor using phototherapy angle and wavelength simulation paws methodology |
| topic | Alzheimer sensor computational simulation light absorption phototherapy optimization therapeutic light angle |
| url | https://www.mdpi.com/1424-8220/24/22/7282 |
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