Pywayne Plotv0.1.0

Analyze PPG and ECG signals from wearable devices to visualize heart rate variability and respiration patterns in real-time. Use frequency scaling to bpm for intuitive heart rate displays and local normalization to track changes over time.

Monitor machinery vibrations using accelerometer data to detect faults like bearing wear or imbalance. Apply global normalization to compare intensity across operational cycles and use high-resolution spectrograms for precise frequency identification.

Process speech or music signals for applications like noise reduction or audio feature extraction. Utilize kHz scaling for audio frequencies and dB scaling to handle large dynamic ranges in sound spectra.

Analyze IMU data from accelerometers and gyroscopes to study human movement patterns or gait analysis. Employ get_specgram_params to optimize parameters for varying signal lengths and sampling rates.

Offer cloud-based spectrogram analysis tools with automated parameter recommendations and collaborative features. Charge monthly fees based on usage tiers, targeting research labs and engineering firms.

Provide tailored solutions for specific industries, such as developing custom visualization pipelines for medical device companies or vibration analysis for industrial clients. Revenue comes from project-based fees and ongoing support contracts.

License the skill package to universities and training institutions for courses in signal processing or data visualization. Include tutorials and example datasets to facilitate learning and practical application.