تقرير
Semi-Automated Nasal PAP Mask Sizing using Facial Photographs
| العنوان: | Semi-Automated Nasal PAP Mask Sizing using Facial Photographs |
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| المؤلفون: | Johnston, Benjamin, McEwan, Alistair, de Chazal, Philip |
| سنة النشر: | 2017 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | We present a semi-automated system for sizing nasal Positive Airway Pressure (PAP) masks based upon a neural network model that was trained with facial photographs of both PAP mask users and non-users. It demonstrated an accuracy of 72% in correctly sizing a mask and 96% accuracy sizing to within 1 mask size group. The semi-automated system performed comparably to sizing from manual measurements taken from the same images which produced 89% and 100% accuracy respectively. Comment: 4 pages, 3 figures, 4 tables, IEEE Engineering Medicine and Biology Conference 2017 |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1109/EMBC.2017.8037049 |
| URL الوصول: | http://arxiv.org/abs/1709.07166 |
| رقم الأكسشن: | edsarx.1709.07166 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1109/EMBC.2017.8037049 |
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