Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi
Source: doi:10.3390/electronics5030058 A new device based on the Raspberry-Pi to monitor the locomotion of Arctic marine invertebrates and to analyze chronobiologic data has been made, tested and deployed. The device uses infrared sensors to monitor and record the locomotor activity of the animals,...
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Online Access: | https://hdl.handle.net/10037/10518 https://doi.org/10.3390/electronics5030058 |
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ftunivtroemsoe:oai:munin.uit.no:10037/10518 2023-05-15T14:45:32+02:00 Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi Pasquali, Vittorio Gualtieri, Riccardo D'Alessandro, Giuseppe Granberg, Maria Erika Hazlerigg, David Cagnetti, Marco Leccese, Fabio 2016-09-15 https://hdl.handle.net/10037/10518 https://doi.org/10.3390/electronics5030058 eng eng MDPI Electronics Pasquali, Gualtieri, D'Alessandro, Granberg ME, Hazlerigg D, Cagnetti, Leccese. Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi. Electronics. 2016;5(3) FRIDAID 1401262 doi:10.3390/electronics5030058 2079-9292 https://hdl.handle.net/10037/10518 openAccess VDP::Teknologi: 500::Elektrotekniske fag: 540 VDP::Technology: 500::Electrotechnical disciplines: 540 Journal article Tidsskriftartikkel Peer reviewed 2016 ftunivtroemsoe https://doi.org/10.3390/electronics5030058 2021-06-25T17:55:05Z Source: doi:10.3390/electronics5030058 A new device based on the Raspberry-Pi to monitor the locomotion of Arctic marine invertebrates and to analyze chronobiologic data has been made, tested and deployed. The device uses infrared sensors to monitor and record the locomotor activity of the animals, which is later analyzed. The software package consists of two separate scripts: the first designed to manage the acquisition and the evolution of the experiment, the second designed to generate actograms and perform various analyses to detect periodicity in the data (e.g., Fourier power spectra, chi-squared periodograms, and Lomb–Scargle periodograms). The data acquisition hardware and the software has been previously tested during an Arctic mission with an arctic marine invertebrate Article in Journal/Newspaper Arctic University of Tromsø: Munin Open Research Archive Arctic Electronics 5 4 58 |
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Open Polar |
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University of Tromsø: Munin Open Research Archive |
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ftunivtroemsoe |
language |
English |
topic |
VDP::Teknologi: 500::Elektrotekniske fag: 540 VDP::Technology: 500::Electrotechnical disciplines: 540 |
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VDP::Teknologi: 500::Elektrotekniske fag: 540 VDP::Technology: 500::Electrotechnical disciplines: 540 Pasquali, Vittorio Gualtieri, Riccardo D'Alessandro, Giuseppe Granberg, Maria Erika Hazlerigg, David Cagnetti, Marco Leccese, Fabio Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi |
topic_facet |
VDP::Teknologi: 500::Elektrotekniske fag: 540 VDP::Technology: 500::Electrotechnical disciplines: 540 |
description |
Source: doi:10.3390/electronics5030058 A new device based on the Raspberry-Pi to monitor the locomotion of Arctic marine invertebrates and to analyze chronobiologic data has been made, tested and deployed. The device uses infrared sensors to monitor and record the locomotor activity of the animals, which is later analyzed. The software package consists of two separate scripts: the first designed to manage the acquisition and the evolution of the experiment, the second designed to generate actograms and perform various analyses to detect periodicity in the data (e.g., Fourier power spectra, chi-squared periodograms, and Lomb–Scargle periodograms). The data acquisition hardware and the software has been previously tested during an Arctic mission with an arctic marine invertebrate |
format |
Article in Journal/Newspaper |
author |
Pasquali, Vittorio Gualtieri, Riccardo D'Alessandro, Giuseppe Granberg, Maria Erika Hazlerigg, David Cagnetti, Marco Leccese, Fabio |
author_facet |
Pasquali, Vittorio Gualtieri, Riccardo D'Alessandro, Giuseppe Granberg, Maria Erika Hazlerigg, David Cagnetti, Marco Leccese, Fabio |
author_sort |
Pasquali, Vittorio |
title |
Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi |
title_short |
Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi |
title_full |
Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi |
title_fullStr |
Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi |
title_full_unstemmed |
Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi |
title_sort |
monitoring and analyzing of circadian and ultradian locomotor activity based on raspberry-pi |
publisher |
MDPI |
publishDate |
2016 |
url |
https://hdl.handle.net/10037/10518 https://doi.org/10.3390/electronics5030058 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
Electronics Pasquali, Gualtieri, D'Alessandro, Granberg ME, Hazlerigg D, Cagnetti, Leccese. Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi. Electronics. 2016;5(3) FRIDAID 1401262 doi:10.3390/electronics5030058 2079-9292 https://hdl.handle.net/10037/10518 |
op_rights |
openAccess |
op_doi |
https://doi.org/10.3390/electronics5030058 |
container_title |
Electronics |
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5 |
container_issue |
4 |
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58 |
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1766316938474029056 |