In fields using functional near-infrared spectroscopy (fNIRS), there is a need for an easy-to-understand method that allows visual presentation and rapid analysis of data and test results. This preliminary study examined whether deep learning (DL) could be applied to the analysis of fNIRS-derived brain activity data. To create a visual presentation of the data, an imaging program was developed for the analysis of hemoglobin (Hb) data from the prefrontal cortex in healthy volunteers, obtained by fNIRS before and after tooth clenching. Three types of imaging data were prepared: oxygenated hemoglobin (oxy-Hb) data, deoxygenated hemoglobin (deoxy-Hb) data, and mixed data (using both oxy-Hb and deoxy-Hb data). To differentiate between rest and tooth clenching, a cross-validation test using the image data for DL and a convolutional neural network was performed. The network identification rate using Hb imaging data was relatively high (80‒90%). These results demonstrated that a method using DL for the assessment of fNIRS imaging data may provide a useful analysis system.
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http://dx.doi.org/10.3390/jcm9113475 | DOI Listing |
J Pediatr Nurs
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Department of Nursing, School of Health Rehabilitation Sciences, University of Patras, Nikolaou Gizi 4, Patras, Greece.
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J Plast Reconstr Aesthet Surg
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Department of Plastic Surgery, Odense University Hospital, Denmark.
The incidence of keratinocyte carcinoma (KC) is rising globally, significantly burdening healthcare resources. Treatment options include medical treatment, non-invasive procedures, and surgery, each associated with their distinct benefits and risks. With advanced treatment, the procedures become increasingly invasive for the patients and expensive for the society.
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View Article and Find Full Text PDFEur J Surg Oncol
December 2024
Department of Surgery, Tokyo Medical University, Japan.
Objective: Pulmonary pleomorphic carcinoma is a relatively rare and aggressive subtype of non-small cell lung cancer (NSCLC), with a poor prognosis and early recurrence, and is resistant to conventional therapies. This study investigated the efficacy of immune checkpoint inhibitors (ICIs) in improving the survival outcomes of patients with pulmonary pleomorphic carcinoma with postoperative recurrence.
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Biomed Phys Eng Express
January 2025
Applied Sciences, Indian Institute of Information Technology Allahabad, Deoghat, Jhalwa, Allahabad, 211012, INDIA.
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