Medical and biological engineering

, Volume 11, Issue 3, pp 340–347 | Cite as

Computer acquisition of multiunit nerve-spike signals

  • David Stagg
Article

Abstract

Two methods are described for the computer acquisition of multichannel, multiunit nervespike sequences. Both methods retain the spike peak-amplitude information, so that separation of the component single-unit populations can be carried out by the computer using this information. The first method uses analogue peak tracking to determine the spike amplitude, while in the second method the spike shape is reconstituted from the continuously sampled signal, and the peak amplitude is determined digitally. The performance and implementation requirements of the two systems are compared.

Keywords

Computer acquisition nerve spike peak amplitude spike shape 

Sommaire

Nous décrivons deux méthodes pour l'acquisition par le calculateur de séuqences à voies et éléments multiples de pointes nerveuses. Les deux méthodes retiennent l'information d'amplitude maximum de la pointes de façon que la séparation des populations d'éléments simples constituantes peut être réalisée par le calculateur en utilisant cette information. La première méthode utilise un indice de voie analogique pour la crête, en vue de déterminer l'amplitude de la pointe, tandis que dans la seconde méthode, la forme de la pointe est reconstituée à partir du signal continuellement prélevé, et l'amplitude de crête est déterminée numériquement. Les conditions de fonctionnement et d'exécution des deux systèmes sont comparées.

Zusammenfassung

Zwei Verfahren der Computererfassung von Mehrkanal-Nerven-Impulsserien werden beschrieben. Beide Verfahren bewahren den Informationsinhalt der Impulse als Spitzenamplituden, so dass eine Trennung der Teilserien der Populationen durch den mit der betreffenden Information versorgten Rechner erfolgen kann. Das erste Verfahren macht von der analogen Verfolgung der Spitzen Gebrauch, um die Impulsamplituden zu messen, während im zweiten Verfahren die Impulsform aus dem laufend geprobten Signal aufgebaut wird, wobei die Spizenamplituden digital ermittelt werden. Leistungsfähigkeit und Ausführungsbedarf beider Systeme werden verglichen.

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References

  1. Cooper, G. R. andMcgillem, C. D. (1967)Methods of signal and system analysis. Holt, Rinehart & Winston Inc., New York.MATHGoogle Scholar
  2. Gerstein, G. L. andPerkel, D. H. (1972) Mutual temporal relationships among neuronal spike trains. Statistical techniques for display and analysis.Biophys. J. 12, 453–473.Google Scholar
  3. Moore, G. P., Perkel, D. H. andSegundo, J. P. (1966) Statistical analysis and functional interpretation of neuronal spike data.Ann. Rev. Physiol. 28, 493–522.CrossRefGoogle Scholar
  4. Perkel, D. H., Gerstein, G. L. andMoore, G. P. (1967a) Neuronal spike trains and, stochastic point processes. I—the single train.Biophys. J. 7, 393–418.Google Scholar
  5. Perkel, D. H., Gerstein, G. L. andMoore, G. P. (1967b) Neuronal spike trains and stochastic point processes. II—simultaneous spike trains.ibid., 419–440.CrossRefGoogle Scholar
  6. Rasminsky, M. andSears, T. A. (1971) Internodal conduction in normal and demyelinated mammalian single nerve fibres.J. Physiol. 217, 66–67P.Google Scholar
  7. Schmidt, E. M. (1971) Unit activity from peripheral nerve bundles utilizing correlation techniques.Med. Biol. Engng. 9, 665–674.Google Scholar
  8. Sears, T. A. andStagg, D. (1967) Methods used for the recording and subsequent analysis of spontaneous efferent and afferent activity in intact intercostal nerve filaments.J. Physiol. 191, 108–109P.Google Scholar
  9. Stagg, D. (1970) The control of mammalian muscle spindles studied by analysis of neuroelectric signals. Ph.D. thesis, University of London.Google Scholar

Copyright information

© International Federation for Medical & Biological Engineering 1973

Authors and Affiliations

  • David Stagg
    • 1
    • 2
  1. 1.Department of NeurophysiologyInstitute of NeurologyLondonEngland
  2. 2.Engineering in Medicine Laboratory Department of Electrical EngineeringImperial CollegeLondon

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