April 17, 2019

1-D Convolutional Neural Networks for Signal Processing Applications

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Comparison

1D CNNs vs conventional 2D deep CNNs

Design

Review

Authors

SKSerkan KıranyazElectrophysiology TİTürker İnceResearch Council of Finland OAOsama AbdeljaberLinnaeus University

Discussion

Member takes

Implication

Supports 1D CNN exploration for efficient ECG monitoring in constrained settings; leaves open prospective clinical validation.

Structured PICO

Intervention

1D Convolutional Neural Networks (CNNs)

Comparator

Conventional (2D) deep CNNs

1D CNNs provide a compact, efficient, and low-cost approach for signal processing applications such as ECG classification compared to traditional 2D deep learning models.

Cite This Study

Kıranyaz et al. (2019) studied this question.

synapsesocial.com/papers/69d769adf44a16d01ef30dd0 https://doi.org/10.1109/icassp.2019.8682194

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1-D Convolutional Neural Networks for Signal Processing Applications

Discussion

Member takes

Implication

Structured PICO

Cite This Study

1-D Convolutional Neural Networks for Signal Processing Applications

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider