Development of Wearable Wireless Multichannel f-NIRS System to Evaluate Activities
Functional near-infrared spectroscopy is a noninvasive neuroimaging technique that uses optical signals to monitor subtle changes in hemoglobin concentrations within the superficial tissue of the human body. This technology has widespread applications in long-term brain–computer interface monitoring...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Micromachines |
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| Online Access: | https://www.mdpi.com/2072-666X/16/5/576 |
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| author | Xiaojie Ma Tianchao Miao Fawen Xie Jieyu Zhang Lulu Zheng Xiang Liu Hangrui Hai |
| author_facet | Xiaojie Ma Tianchao Miao Fawen Xie Jieyu Zhang Lulu Zheng Xiang Liu Hangrui Hai |
| author_sort | Xiaojie Ma |
| collection | DOAJ |
| description | Functional near-infrared spectroscopy is a noninvasive neuroimaging technique that uses optical signals to monitor subtle changes in hemoglobin concentrations within the superficial tissue of the human body. This technology has widespread applications in long-term brain–computer interface monitoring within both traditional medical domains and, increasingly, domestic settings. The popularity of this approach lies in the fact that new single-channel brain oxygen sensors can be used in a variety of scenarios. Given the diverse sensor structure requirements across applications and numerous approaches to data acquisition, the accurate extraction of comprehensive brain activity information requires a multichannel near-infrared system. This study proposes a novel distributed multichannel near-infrared system that integrates two near-infrared light emissions at differing wavelengths (660 nm, 850 nm) with a photoelectric receiver. This substantially improves the accuracy of regional signal sampling. Through a basic long-time mental arithmetic paradigm, we demonstrate that the accompanying algorithm supports offline analysis and is sufficiently versatile for diverse scenarios relevant to the system’s functionality. |
| format | Article |
| id | doaj-art-0943be1fcdad4237bb1c7b145ea02f7d |
| institution | OA Journals |
| issn | 2072-666X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj-art-0943be1fcdad4237bb1c7b145ea02f7d2025-08-20T02:33:47ZengMDPI AGMicromachines2072-666X2025-05-0116557610.3390/mi16050576Development of Wearable Wireless Multichannel f-NIRS System to Evaluate ActivitiesXiaojie Ma0Tianchao Miao1Fawen Xie2Jieyu Zhang3Lulu Zheng4Xiang Liu5Hangrui Hai6School of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, ChinaSchool of Computer Science and Technology, Henan Institute of Technology, Xinxiang 453003, ChinaState Key Laboratory of Robotics and Systems, Harbin Institute of Technology Shenzhen, Shenzhen 518055, ChinaSchool of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, ChinaSchool of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, ChinaSchool of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, ChinaSchool of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, ChinaFunctional near-infrared spectroscopy is a noninvasive neuroimaging technique that uses optical signals to monitor subtle changes in hemoglobin concentrations within the superficial tissue of the human body. This technology has widespread applications in long-term brain–computer interface monitoring within both traditional medical domains and, increasingly, domestic settings. The popularity of this approach lies in the fact that new single-channel brain oxygen sensors can be used in a variety of scenarios. Given the diverse sensor structure requirements across applications and numerous approaches to data acquisition, the accurate extraction of comprehensive brain activity information requires a multichannel near-infrared system. This study proposes a novel distributed multichannel near-infrared system that integrates two near-infrared light emissions at differing wavelengths (660 nm, 850 nm) with a photoelectric receiver. This substantially improves the accuracy of regional signal sampling. Through a basic long-time mental arithmetic paradigm, we demonstrate that the accompanying algorithm supports offline analysis and is sufficiently versatile for diverse scenarios relevant to the system’s functionality.https://www.mdpi.com/2072-666X/16/5/576fNIRSmultichannelmental algorithm |
| spellingShingle | Xiaojie Ma Tianchao Miao Fawen Xie Jieyu Zhang Lulu Zheng Xiang Liu Hangrui Hai Development of Wearable Wireless Multichannel f-NIRS System to Evaluate Activities Micromachines fNIRS multichannel mental algorithm |
| title | Development of Wearable Wireless Multichannel f-NIRS System to Evaluate Activities |
| title_full | Development of Wearable Wireless Multichannel f-NIRS System to Evaluate Activities |
| title_fullStr | Development of Wearable Wireless Multichannel f-NIRS System to Evaluate Activities |
| title_full_unstemmed | Development of Wearable Wireless Multichannel f-NIRS System to Evaluate Activities |
| title_short | Development of Wearable Wireless Multichannel f-NIRS System to Evaluate Activities |
| title_sort | development of wearable wireless multichannel f nirs system to evaluate activities |
| topic | fNIRS multichannel mental algorithm |
| url | https://www.mdpi.com/2072-666X/16/5/576 |
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