2026-10-16T08:43:45Z https://data.mendeley.com/oai

oai:data.mendeley.com/tnxt77tf9g.1 2021-04-26T20:27:23Z

Bashford, James Data for: SPiQE: an automated analytical tool for detecting and characterising fasciculations in amyotrophic lateral sclerosis Mendeley Data Four files: 1. Mean noise bands and optimal amplitude inclusion thresholds for 599 one-minute recordings. 2. Sensitivity, specificity and classification accuracy scores for 80 one-minute recordings across multiple thresholds for each model (1 and 2). 3. Sensitivity, specificity and classification accuracy scores for 80 one-minute recordings for different thresholds of amplitude exclusion threshold 4. Comparison of manual and automated fasciculation counts using optimal model. Testing and Validation Model Validation Dataset doi:10.17632/tnxt77tf9g.1 oai:data.mendeley.com/tnxt77tf9g.1 Attribution-NonCommercial 3.0 Unported https://creativecommons.org/licenses/by-nc/3.0 https://data.mendeley.com/datasets/tnxt77tf9g 2021-04-26T20:27:23Z