title: How much can we trust the electromechanical delay estimated by using electromyography?
abstract: In this paper different estimation techniques are evaluated for the assessment of electromechanical delay (EMD). The following techniques are compared for benchmarking purposes: envelope estimation and thresholding, with different subjective combinations of filters and thresholds, and a double threshold statistical detector (DTD). Performances are compared in terms of bias, standard deviation and erroneous detections of the estimations. DTD showed higher robustness and repeatability of results, guaranteed by the objective settings based on the statistical characteristics of the algorithm.
authors.affiliation: Department of Applied Electronics, University Roma Tre, Rome, Italy.
authors.forename: S
authors.initials: S
authors.lastname: Conforto
authors.forename: P
authors.initials: P
authors.lastname: Mathieu
authors.forename: M
authors.initials: M
authors.lastname: Schmid
authors.forename: D
authors.initials: D
authors.lastname: Bibbo
authors.forename: J R
authors.initials: JR
authors.lastname: Florestal
authors.forename: T
authors.initials: T
authors.lastname: D'Alessio
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004576:Electromyography / Q000379:methods*; D006801:Humans; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D009431:Neural Conduction / Q000502:physiology*; D011930:Reaction Time / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013314:Stress, Mechanical; D013997:Time Factors