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catch22: CAnonical Time-series CHaracteristics - Selected through highly comparative time-series analysis.

, , , , , and . Data Min. Knowl. Discov., 33 (6): 1821-1852 (2019)

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High Specificity IEGM Beat Detection by Combining Morphological and Temporal Classification for a Cardiac Neuromodulation System., , , , and . CinC, page 205-208. www.cinc.org, (2014)catch22: CAnonical Time-series CHaracteristics - Selected through highly comparative time-series analysis., , , , , and . Data Min. Knowl. Discov., 33 (6): 1821-1852 (2019)CompEngine: a self-organizing, living library of time-series data., , , and . CoRR, (2019)Efficient peripheral nerve firing characterisation through massive feature extraction., , , and . NER, page 179-182. IEEE, (2019)The effect of triggered endocardial neuromodulation decreasing elevated heart rate., , , , , , and . NER, page 470-473. IEEE, (2015)Correction to: PyPNS: Multiscale Simulation of a Peripheral Nerve in Python., , , , , , and . Neuroinformatics, 17 (4): 629 (2019)catch22: CAnonical Time-series CHaracteristics., , , , , and . CoRR, (2019)Real-time decoding of bladder pressure from pelvic nerve activity., , , , and . NER, page 617-620. IEEE, (2017)PyPNS: Multiscale Simulation of a Peripheral Nerve in Python., , , , , , and . Neuroinformatics, 17 (1): 63-81 (2019)