Pywayne Dspv0.1.0

Analyze ECG or EEG signals by applying Butterworth filters to remove noise and using peak detection to identify heartbeats or brainwave patterns. This is crucial for medical diagnostics and health monitoring devices.

Process vibration or temperature data from machinery using detrending and sliding window extrema detection to identify anomalies or wear patterns. Enables predictive maintenance and reduces downtime in manufacturing.

Apply signal smoothing with OneEuroFilter and curve similarity with DTW to compare stock price trends or detect market patterns. Supports algorithmic trading and risk assessment.

Filter and analyze sensor data from weather stations or pollution sensors using WelfordStd for real-time standard deviation tracking and peak detection for event identification.

Use Butterworth filters for noise suppression in audio recordings and detrending to remove baseline drift, improving clarity for applications like speech recognition or music processing.

Offer a cloud-based platform where users upload sensor data for automated processing and visualization. Charge subscription fees based on data volume or number of analyses, targeting small to medium enterprises.

License the toolkit for integration into hardware devices like medical monitors or industrial IoT sensors. Provide SDKs and technical support, generating revenue through upfront licensing fees and maintenance contracts.

Provide tailored solutions for specific client needs, such as developing custom signal processing pipelines or integrating the toolkit into existing systems. Charge on a project basis or hourly rates.