Human Pulse Waveform Sample Dataset
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Resource Overview
A collection of 30 human pulse waveform samples including both healthy individuals and drug users, ideal for pattern recognition research with feature extraction and classification algorithm implementations
Detailed Documentation
This dataset provides 30 human pulse waveform samples comprising both normal subjects and drug users. These samples are particularly valuable for pattern recognition researchers and practitioners. The data can be utilized to extract time-domain and frequency-domain features using signal processing techniques, implement classification algorithms (such as SVM, Random Forest, or Neural Networks), and develop models for pulse pattern differentiation. Through analysis of these samples, researchers can better understand the characteristics and variations in human pulse waveforms, providing substantial support and reference for related medical research and diagnostic applications. The dataset structure supports both supervised learning (with labeled categories) and unsupervised pattern discovery approaches.
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