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| Titel: |
Classification of familiar motor activity patterns using a cluster method and spectral analysis |
| Auteur: |
Cambras, T. Diez-Noguera, A. Ribot, M. |
| Verschenen in: |
Biological rhythm research |
| Paginering: | Jaargang 19 (1988) nr. 1 pagina's 17-22 |
| Jaar: |
1988-03 |
| Inhoud: |
To study the hereditary nature of the pattern of the motor activity rhythm in rats, an aggregation method has been developped. Rats of 6 different families belonging to 3 different generations were used for the experiment. Animals were born and raised under LL. Motor activity was recorded by means of an optical detecting system for more than 10 days, depending on the family from the 21st day after birth. A spectral analysis was applied to data corresponding with observation periods equal to the tau of each rat. The mean power spectrum, with 20 harmonics, was calculated for each animal. With the 20 harmonics, the mean power spectrum of each animal can be represented as a point in a 20-dimensional space. In this space, euclidian distances among the elements were calculated. Then, this cloud of points was projected in a plane. In this plane, if points are considered to have a mass equal to 1, the force that each element is submitted to, due to the attraction of the others, can be calculated. In this sense, a movement in the direction of the force of each element takes place. This process is repeated as many times as necessary to form groups of elements. The results show that at the end of the process, 3 groups of elements are formed. Each group contains the individuals of the families 1, 2 and 3 respectively. This suggests that each family has a characteristic motor activity pattern. Individuals of the third generation (families 4, 5 and 6) were spreaded at random in the three nuclei. This could be due to the assumption that there are mixed characteristics of the previous generations in each animal. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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