Retinal photoplethysmography study dataset

The dataset is related to PLOS ONE article: <br> "Odstrcilik, J., et al. Comparative analysis of retinal photoplethysmographic spatial maps and thickness of retinal nerve fiber layer." <br> Each file is stored in Matlab memory format (*.MAT), which can be loaded either directly via MATLAB computing software or alternatively in Python programming software. <br> File description: <br> PAA_original_maps_plosone.mat <em> - image matrices (format: double), each for a single subject involved in the study</em> Blood_vessels_BW_templates_plosone.mat <em> - image matrices (format: binary), each for a single subject involved in the study</em> ONH_BW_templates_plosone.mat <em> - image matrices (format: binary), each for a single subject involved in the study</em> RNFL_circular_OCT_scans_plosone.mat <em> - matrix (format: double) with RNFL circular scans for a single subject involved in the study</em> Diagnoses_key_plosone.mat <em> - diagnoses key - a vector of diagnoses groups (format: integer) for a single subject involved in the study</em> <br> For more information, please refer to respective article in PLOS ONE journal or contact the author.

本数据集关联《PLOS ONE》期刊刊载的论文：Odstrcilik J 等. 视网膜光电容积描记空间图谱（retinal photoplethysmographic spatial maps）与视网膜神经纤维层（retinal nerve fiber layer）厚度的比较分析。
所有数据文件均采用Matlab内存格式（*.MAT）存储，可通过MATLAB计算软件直接加载，也可借助Python编程软件读取。
文件说明如下：
1. PAA_original_maps_plosone.mat —— 图像矩阵（格式：双精度型），对应研究中的每名受试者
2. Blood_vessels_BW_templates_plosone.mat —— 图像矩阵（格式：二值型），对应研究中的每名受试者
3. ONH_BW_templates_plosone.mat —— 图像矩阵（格式：二值型），对应研究中的每名受试者（ONH为视神经头（Optic Nerve Head）的缩写）
4. RNFL_circular_OCT_scans_plosone.mat —— 矩阵（格式：双精度型），存储研究中单名受试者的视网膜神经纤维层（retinal nerve fiber layer, RNFL）环形光学相干断层扫描（Optical Coherence Tomography, OCT）数据
5. Diagnoses_key_plosone.mat —— 诊断标签——研究中单名受试者的诊断分组整数向量

如需获取更多信息，请参阅《PLOS ONE》期刊的对应论文，或联系本文作者。