PMID- 12043809
OWN - NLM
STAT- MEDLINE
DCOM- 20020624
LR  - 20191210
IS  - 0140-0118 (Print)
IS  - 0140-0118 (Linking)
VI  - 40
IP  - 2
DP  - 2002 Mar
TI  - Motor unit conduction velocity distribution estimation: assessment of two 
      short-term processing methods.
PG  - 253-9
AB  - Muscle fibre conduction velocity (MFCV) can be used as an index of the structural 
      and/or functional modifications that can occur during fatigue or pathological 
      processes. Current evaluation of MFCV from surface electromyography (SEMG) 
      classically produces an average value. However, a single mean value is not 
      sufficient when modifications affect only a small part of the conduction velocity 
      distribution. In such a case, an estimation of the whole motor unit conduction 
      velocity distribution (MUCV) would be advantageous. The aim of this study was the 
      evaluation of the quality of two short-term methods based on cross-correlation 
      (CC) and peak-to-peak (PP) estimation. A comprehensive simulation program was 
      used to generate signals with known MUCV distributions. The Dmax statistic of 
      Kolmogorov-Smirnov was used as an error criterion to quantify the estimation 
      error and to optimise the MUCV distribution computation algorithms. The minimum 
      error was observed for an analysing window of 10ms for PP and 15ms for CC. Dmax 
      was significantly lower for PP (0.195+/-0.054) than for CC (0.343+/-0.073). 
      Various simulations showed the strong effect of the variance of the true 
      distribution on the features of the estimated ones. Clinical data measured on the 
      abductor pollicis brevis were studied. MUCV was estimated on a healthy subject 
      (3.63+/-0.87ms(-1)), a patient suffering from a myopathy (2.73+/-0.51ms(-1)) and 
      one suffering from a neuropathy (4.38+/-0.23ms(-1)). The results demonstrate the 
      overall superiority of a peak-to-peak approach.
FAU - Hogrel, J Y
AU  - Hogrel JY
AD  - Institut de Myologie, Groupe Hospitalier Pitie-Salpetriere, Paris, France. 
      jy.hogrel@myologie.chups.jussieu.fr
FAU - Duchene, J
AU  - Duchene J
LA  - eng
PT  - Case Reports
PT  - Evaluation Study
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Med Biol Eng Comput
JT  - Medical & biological engineering & computing
JID - 7704869
SB  - IM
MH  - Adult
MH  - Amyotrophic Lateral Sclerosis/physiopathology
MH  - Analysis of Variance
MH  - Case-Control Studies
MH  - *Computer Simulation
MH  - Electromyography
MH  - Female
MH  - Humans
MH  - Male
MH  - Muscle Fibers, Skeletal/*physiology
MH  - Muscular Dystrophies/physiopathology
MH  - *Neural Conduction
MH  - *Signal Processing, Computer-Assisted
EDAT- 2002/06/05 10:00
MHDA- 2002/06/25 10:01
CRDT- 2002/06/05 10:00
PHST- 2002/06/05 10:00 [pubmed]
PHST- 2002/06/25 10:01 [medline]
PHST- 2002/06/05 10:00 [entrez]
AID - 10.1007/BF02348133 [doi]
PST - ppublish
SO  - Med Biol Eng Comput. 2002 Mar;40(2):253-9. doi: 10.1007/BF02348133.