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Multimodal 1D-to-2D Signal Transformation and Pulse disease Recognition

Published: 14 June 2024 Publication History

Abstract

Pulse signals, vital indicators of intrinsic health information, hold diverse applications in computer-aided pulse diagnosis in traditional Chinese medicine. However, conventional one-dimensional pulse disease recognition methods face challenges of resemblance, ambiguity, low accuracy, and instability in identifying multiple diseases. To address these issues, this study presents a novel approach that uses multiple methods to transform one-dimensional signals into two-dimensional representations. Initially, original signals are segmented into periods, treating single-period signals as samples. Then, employing short-time Fourier transform, Gram angle field, Markov variation field, and recurrence map, 2D matrices, and corresponding image representations are derived across time, frequency, and time-frequency domains. An integrated model is established to classify multiple images as features. Experiments utilize a pulse dataset from 211 hospitals for training and testing. Results reveal that devoid of manual preprocessing, signal upscaling enhances disease classification accuracy by capturing both temporal and periodic/non-periodic signal information. This approach achieves an average accuracy of up to 92%. The synergy of signal upscaling and an integrated CNN classifier demonstrates promising potential in pulse disease recognition.

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AIPR '23: Proceedings of the 2023 6th International Conference on Artificial Intelligence and Pattern Recognition
September 2023
1540 pages
ISBN:9798400707674
DOI:10.1145/3641584
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 14 June 2024

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Author Tags

  1. Convolutional neural network,Pancreatitis
  2. Pulse signal, Disease recognition, Signal upscaling

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