Carl H Lubba

The paper introduces catch22, a set of 22 time-series features that balance computational efficiency and classification performance across diverse biomedical and other time-series datasets.

The paper introduces a feature-based analysis method to characterize peripheral nerve firing by unsupervised dimensionality reduction, aiming to improve decoding in bioelectronic medicine devices.

The paper presents a multiscale simulator for peripheral nerve signaling that integrates biophysical axon models with extracellular space models to predict signal shapes and stimulation thresholds.

The paper demonstrates real-time decoding of bladder pressure from pelvic nerve activity using spectral analysis and linear filtering techniques.