Structured Representation of a Deep CNN for PPG Signal Analysis

A structured representation of a deep convolutional neural network architecture designed for Photoplethysmogram signal analysis. The dataset was authored by Amjed Al Fahoum and is shared under a CC-BY-4.0 license. It was last updated on May 15, 2026.

Use Cases

• Benchmarking CNN architectures based on the described structured representation.
• Reproducing or extending the PPG signal analysis methodology detailed in the description.
• Educational purposes for understanding the design of deep networks for time-series physiological data.

Strengths

• The dataset is shared under a permissive CC-BY-4.0 license.
• It has a specific last update timestamp of 2026-05-15 17:38:37.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope or content.
• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-15 17:38:37