Computer Science
4 years ago

New method detects noise in signals, improving accuracy for heart monitoring.

上海交通大学学报(英文版)
APPLICATION OF FRACTAL THEORY IN TRANSIENT CHAOTIC SIGNAL DETECTION
He Wan

Paper Summary

Related papers

Theme background image
Computer Science
8 years ago

Unlocking Chaos: Neural Networks Decode Chaotic Signals for Revolutionary Applications

Neural Networks
Chaos Synchronization
1 view
Theme background image
Computer Science
8 years ago

Chaos Theory Unlocks Motor Faults, Revolutionizing Maintenance Efficiency.

Spatial Data Mining
Expert Systems
Smart Grid
Theme background image
Computer Science
8 years ago

New method accurately measures chaos in noisy time series.

Neural Networks
1 view

The article explores using fractal theory to detect and reduce noise in transient chaotic signals, focusing on heart period signals. By analyzing chaotic heart period signals, the researchers found a method to assess and decrease noise in detected signals. They also delved into the attractor dimension of heart period signals for different age groups.