Τίτλος:
Laser Doppler spectroscopy towards the detection of spontaneous muscle activity
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Objective: We used laser Doppler spectroscopy to detect hyperactivity of muscle fibers caused by the presence of fibrillations, positive waves and fasciculations. Methods: The proposed method relies upon the dynamic scattering of light by moving particles, which causes a Doppler shift of the original frequency. For resolution of small alterations in frequency the heterodyne detection was used. One hundred seventy-three normal and 109 EMG diagnosed denervated first dorsal interosseous muscles were examined. Results: Denervated muscles with fasciculations showed significant differentiation from control muscles, whereas denervated muscles without fasciculations were not significantly differentiated. The smallest differentiation compared to controls was seen in chronic denervated muscles without spontaneous activity. Conclusions: Presence of fasciculations in denervated muscles allowed Doppler spectroscopy to differentiate them from normal muscles. Presence of atrophy reduced the diagnostic potential of the method. Significance: Our findings can be used as a basis for further improving painless and noninvasive laser Doppler spectroscopy to be used clinically as an alternative to painful and invasive EMG. © 2006 International Federation of Clinical Neurophysiology.
Συγγραφείς:
Stambouli, D.
Stamboulis, E.
Papazoglou, T.G.
Siafakas, A.
Fotakis, C.
Περιοδικό:
Clinical Neurophysiology
Λέξεις-κλειδιά:
adult; article; controlled study; diagnostic accuracy; diagnostic value; Doppler flowmetry; electromyography; elementary particle; fasciculation; female; human; laser doppler spectroscopy; light scattering; major clinical study; male; muscle atrophy; muscle contraction; muscle denervation; non invasive procedure; priority journal; spectroscopy; technique; waveform, Adolescent; Aged; Electromyography; Fasciculation; Female; History, 16th Century; Humans; Laser-Doppler Flowmetry; Male; Middle Aged; Muscle Denervation; Muscle, Skeletal; Spectrum Analysis
DOI:
10.1016/j.clinph.2006.07.133
