Data · dataset · 2021
Data for: SPiQE: an automated analytical tool for detecting and characterising fasciculations in amyotrophic lateral sclerosis
Listed in Teesside University Research Data Repository
Four files: 1.
Description
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.
Links
Where it is published
- DOI doi.org/10.17632/tnxt77tf9g.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science
Provenance · 1 source records, 5 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/tnxt77tf9g.1 | 23 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |