Why the study?
Does an artificial neural network improve diagnostic accuracy for detecting lower limb arterial disease from PPG pulse waveforms compared to other classification techniques?
Population
Patients attending a vascular measurement laboratory being evaluated for lower limb arterial disease. Data…
Comparison
Artificial neural network classification of… vs k-nearest neighbour classifier and linear…
Design
Other
Authors
Loading...
May support ANN for PPG-based arterial disease detection; hypothesis-generating and requires prospective validation before practice change.
Does an artificial neural network improve diagnostic accuracy for detecting lower limb arterial disease from PPG pulse waveforms compared to other classification techniques?
Artificial neural networks provide superior diagnostic accuracy for detecting lower limb arterial disease from PPG pulse waveforms compared to traditional linear discriminant and k-nearest neighbour classifiers.
Allen et al. (1996) studied this question.
Synapse has enriched one closely related paper. Consider it for comparative context: