Xiao Meng, Xiaokaiti Sulidan, Shang Meng, Xu Pan, Zhu Xiaofen
Quzhou KeCheng People's Hospital, Quzhou, China.
The Fourth People's Hospital of Urumqi, Urumqi, China.
Sci Rep. 2025 Aug 5;15(1):28487. doi: 10.1038/s41598-025-14015-x.
In this study, serum Raman spectra are introduced into the screening of schizophrenia. We collect serum Raman spectra from schizophrenic and healthy individuals, classified them based on four convolutional neural networks, and developed an assisted screening method for schizophrenia based on serum Raman spectra. We also introduce Markov transition field (MTF), which is commonly used in time-series signal processing, into Raman spectral analysis, and convert 1D Raman spectral sequences into 2D spectrograms to enrich the method of Raman spectral analysis. The experimental results show that the performance of the model trained based on MTF is overall better than that of the model trained based on 1D spectral sequences.
在本研究中，血清拉曼光谱被引入到精神分裂症的筛查中。我们收集了精神分裂症患者和健康个体的血清拉曼光谱，基于四个卷积神经网络对其进行分类，并开发了一种基于血清拉曼光谱的精神分裂症辅助筛查方法。我们还将常用于时间序列信号处理的马尔可夫转移场（MTF）引入拉曼光谱分析中，将一维拉曼光谱序列转换为二维光谱图，以丰富拉曼光谱分析方法。实验结果表明，基于MTF训练的模型性能总体上优于基于一维光谱序列训练的模型。
