AI algorithm program development solicitation （AI 算法程序开发征集 ）

We collected a large amount of pulsation signal data through the PPG sensor at a frequency of 400HZ. I need you to develop feature recognition programs by using the classic AI algorithms. Using the original data provided by us and analyzing their common features. Mining the common rules of these pulsating data, and establishing the feature database, training the model,so that we can use it to compare the similarity between new data and feature database. 1. The data is original data of PPG, which needs to be transformed by yourself; 2. The AI model needs to be established to be able to self-learn and continuously improve the accuracy of identification 3. Wide frequency support is required. When the data is collected at a frequency lower than 400Hz or higher than 50HZ, it can also be identified. 4. There is no limit to the development language. It should be designed for concurrency and run on LINUX. 我们通过PPG传感器采集了大量的脉动信号数据，采集频率为400HZ。需要你用经典的AI算法开发特征识别程序。利用我们提供的原始数据，分析出他们的共同特征点。挖掘这些脉动数据的共同规律，并建立特征库，训练模型。用于后续新数据与特征库相似度的比较。 1.数据为PPG原始数据，需要自行变换处理； 2.需要建立AI模型，能够自学习，不断提升识别的准确度。 3.需要做宽频率支持，当采集到频率低于400hz高于50HZ的数据时，也能够识别。 4.开发语言不限，需设计为并发，运行环境为LINUX。