Multimodal stress detection pipeline fusing EEG, PPG, and temperature signals through a bidirectional LSTM classifier. Three biosensor modalities are synchronized via temporal sorting, segmented into 1199 windows of 256 timesteps, and normalized before feeding into a BiLSTM-LSTM stack with dropout and batch normalization. The architecture demonstrates best practices for handling asynchronous physiological data streams and preventing overfitting in time-series classification. Fork this diagram to customize layer sizes, window parameters, or add additional modalities like GSR or respiration rate.