Why the study?
Unlike EEG, ECG, and EMG signals, there is no standardization for digitalizing and analyzing arterial pulse waves from traditional Chinese medicine sphygmopalpation methods.
Population
A selected group of subjects
Comparison
Pulse sensing platform with tactile robotic fingers and an ANN for pulse pattern recognition
Authors
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Robotic platform classifies three fundamental TCM pulse patterns at >97% accuracy; leaves open standardization and clinical translation pending prospective validation.
A novel robotic finger system with an artificial neural network can accurately classify traditional Chinese medicine arterial pulse patterns, potentially standardizing sphygmopalpation.
Kong et al. (2022) studied this question.
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