Neuronal variability during handwriting: lognormal distribution.
We examined time-dependent statistical properties of electromyographic (EMG) signals recorded from intrinsic hand muscles during handwriting. Our analysis showed that trial-to-trial neuronal variability of EMG signals is well described by the lognormal distribution clearly distinguished from the Gau...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2012-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3326033?pdf=render |
| _version_ | 1818334115122905088 |
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| author | Valery I Rupasov Mikhail A Lebedev Joseph S Erlichman Michael Linderman |
| author_facet | Valery I Rupasov Mikhail A Lebedev Joseph S Erlichman Michael Linderman |
| author_sort | Valery I Rupasov |
| collection | DOAJ |
| description | We examined time-dependent statistical properties of electromyographic (EMG) signals recorded from intrinsic hand muscles during handwriting. Our analysis showed that trial-to-trial neuronal variability of EMG signals is well described by the lognormal distribution clearly distinguished from the Gaussian (normal) distribution. This finding indicates that EMG formation cannot be described by a conventional model where the signal is normally distributed because it is composed by summation of many random sources. We found that the variability of temporal parameters of handwriting--handwriting duration and response time--is also well described by a lognormal distribution. Although, the exact mechanism of lognormal statistics remains an open question, the results obtained should significantly impact experimental research, theoretical modeling and bioengineering applications of motor networks. In particular, our results suggest that accounting for lognormal distribution of EMGs can improve biomimetic systems that strive to reproduce EMG signals in artificial actuators. |
| first_indexed | 2024-12-13T14:02:24Z |
| format | Article |
| id | doaj.art-2827056bb92c4a1a898fe9634b60c049 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-13T14:02:24Z |
| publishDate | 2012-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-2827056bb92c4a1a898fe9634b60c0492022-12-21T23:42:42ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0174e3475910.1371/journal.pone.0034759Neuronal variability during handwriting: lognormal distribution.Valery I RupasovMikhail A LebedevJoseph S ErlichmanMichael LindermanWe examined time-dependent statistical properties of electromyographic (EMG) signals recorded from intrinsic hand muscles during handwriting. Our analysis showed that trial-to-trial neuronal variability of EMG signals is well described by the lognormal distribution clearly distinguished from the Gaussian (normal) distribution. This finding indicates that EMG formation cannot be described by a conventional model where the signal is normally distributed because it is composed by summation of many random sources. We found that the variability of temporal parameters of handwriting--handwriting duration and response time--is also well described by a lognormal distribution. Although, the exact mechanism of lognormal statistics remains an open question, the results obtained should significantly impact experimental research, theoretical modeling and bioengineering applications of motor networks. In particular, our results suggest that accounting for lognormal distribution of EMGs can improve biomimetic systems that strive to reproduce EMG signals in artificial actuators.http://europepmc.org/articles/PMC3326033?pdf=render |
| spellingShingle | Valery I Rupasov Mikhail A Lebedev Joseph S Erlichman Michael Linderman Neuronal variability during handwriting: lognormal distribution. PLoS ONE |
| title | Neuronal variability during handwriting: lognormal distribution. |
| title_full | Neuronal variability during handwriting: lognormal distribution. |
| title_fullStr | Neuronal variability during handwriting: lognormal distribution. |
| title_full_unstemmed | Neuronal variability during handwriting: lognormal distribution. |
| title_short | Neuronal variability during handwriting: lognormal distribution. |
| title_sort | neuronal variability during handwriting lognormal distribution |
| url | http://europepmc.org/articles/PMC3326033?pdf=render |
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