Morris A Fisher1. 1. Department of Neurology, Stritch School of Medicine, Hines VAH and Loyola University Chicago, Neurology (127), Hines, IL 60141, USA. morris.fisher@med.va.gov
Abstract
OBJECTIVE: F-waves are well-established clinical neurophysiological studies. F-wave analysis is now cumbersome limiting the usefulness of F-waves. This study evaluates the accuracy and reliability of an automated analysis method for F-wave latencies. METHODS: F-waves following 20 supramaximal stimuli recorded from the extensor digitorum brevis muscle of 80 limbs (55 subjects) were analyzed. F-wave latencies were determined using a computer program developed by NEUROMetrix (Waltham, MA). These results were compared in a blinded fashion with manual measurements of the same datasets by a clinical neurophysiologist with established expertise in F-waves. The manual measurements were repeated once. RESULTS: The yield rate of automated median F-wave latencies was 100% with a correlation coefficient (CC) of 0.996 when compared with manual assignment results. For individual F-wave latency measurements, comparable values were 90% and 0.977, respectively. The repeated manual measurements revealed a yield rate and CC for median latencies of 100% and 0.998, respectively, with comparable values for individual latency measurements of 95% and 0.992. CONCLUSIONS: These results indicate the feasibility of a reliable computerized automated analysis of F-wave latencies. SIGNIFICANCE: A reliable automated analysis of F-waves should add meaningfully to the value of these responses in clinical neurophysiology.
OBJECTIVE: F-waves are well-established clinical neurophysiological studies. F-wave analysis is now cumbersome limiting the usefulness of F-waves. This study evaluates the accuracy and reliability of an automated analysis method for F-wave latencies. METHODS: F-waves following 20 supramaximal stimuli recorded from the extensor digitorum brevis muscle of 80 limbs (55 subjects) were analyzed. F-wave latencies were determined using a computer program developed by NEUROMetrix (Waltham, MA). These results were compared in a blinded fashion with manual measurements of the same datasets by a clinical neurophysiologist with established expertise in F-waves. The manual measurements were repeated once. RESULTS: The yield rate of automated median F-wave latencies was 100% with a correlation coefficient (CC) of 0.996 when compared with manual assignment results. For individual F-wave latency measurements, comparable values were 90% and 0.977, respectively. The repeated manual measurements revealed a yield rate and CC for median latencies of 100% and 0.998, respectively, with comparable values for individual latency measurements of 95% and 0.992. CONCLUSIONS: These results indicate the feasibility of a reliable computerized automated analysis of F-wave latencies. SIGNIFICANCE: A reliable automated analysis of F-waves should add meaningfully to the value of these responses in clinical neurophysiology.
Authors: Rachel E Ward; Paolo Caserotti; Kimberly Faulkner; Robert M Boudreau; Sasa Zivkovic; Christine Lee; Bret H Goodpaster; Peggy M Cawthon; Anne B Newman; Jane A Cauley; Elsa S Strotmeyer Journal: Arch Phys Med Rehabil Date: 2013-12-16 Impact factor: 3.966
Authors: Brittney S Lange-Maia; Jane A Cauley; Anne B Newman; Robert M Boudreau; John M Jakicic; Nancy W Glynn; Sasa Zivkovic; Thuy-Tien L Dam; Paolo Caserotti; Peggy M Cawthon; Eric S Orwoll; Elsa S Strotmeyer Journal: J Aging Phys Act Date: 2016-08-24 Impact factor: 1.961