Automated quantification of low amplitude rhythmic contractions (LARC) during real-world urodynamics identifies a potential detrusor overactivity subgroup.

Zachary E CullingsworthBrooks B KellyNicholas A DeebelAndrew F ColhounAnna S NagleAdam P KlausnerJohn E Speich

Published in: PloS one (2018)

An FFT algorithm can be applied to "real-world" UDS to automatically characterize the frequency and amplitude of underlying LARC. This algorithm identified a potential subgroup of DO patients with LARC.

Keyphrases

machine learning
deep learning
botulinum toxin
human health
genome wide
randomized controlled trial
high throughput
clinical trial
phase iii
neural network
gene expression