Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi
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 p...
Published in: | Electronics |
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Main Authors: | , , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2016
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Subjects: | |
Online Access: | http://hdl.handle.net/11590/309066 https://doi.org/10.3390/electronics5030058 http://www.mdpi.com/2079-9292/5/3/58/pdf http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=19&SID=R1w9Z9ZOXjCjtjjHnCi&page=1&doc=1 https://www.scopus.com/record/display.uri?src=s&origin=cto&ctoId=CTODS_734851850&stateKey=CTOF_734851851&eid=2-s2.0-84990062647 |
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author | Pasquali, Vittorio Gualtieri, Riccardo D’Alessandro, Giuseppe Granberg, Maria Hazlerigg, David Cagnetti, Marco LECCESE, Fabio |
author2 | Pasquali, Vittorio Gualtieri, Riccardo D’Alessandro, Giuseppe Granberg, Maria Hazlerigg, David Cagnetti, Marco Leccese, Fabio |
author_facet | Pasquali, Vittorio Gualtieri, Riccardo D’Alessandro, Giuseppe Granberg, Maria Hazlerigg, David Cagnetti, Marco LECCESE, Fabio |
author_sort | Pasquali, Vittorio |
collection | Anagrafe della Ricerca d'Ateneo (Universitá degli studi Roma Tre) |
container_issue | 4 |
container_start_page | 58 |
container_title | Electronics |
container_volume | 5 |
description | 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 |
genre | Arctic |
genre_facet | Arctic |
geographic | Arctic |
geographic_facet | Arctic |
id | ftunivroma3iris:oai:iris.uniroma3.it:11590/309066 |
institution | Open Polar |
language | English |
op_collection_id | ftunivroma3iris |
op_doi | https://doi.org/10.3390/electronics5030058 |
op_relation | info:eu-repo/semantics/altIdentifier/wos/WOS:000385490400007 volume:5 issue:3 firstpage:1 lastpage:15 numberofpages:15 journal:ELECTRONICS http://hdl.handle.net/11590/309066 doi:10.3390/electronics5030058 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84990062647 http://www.mdpi.com/2079-9292/5/3/58/pdf http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=19&SID=R1w9Z9ZOXjCjtjjHnCi&page=1&doc=1 https://www.scopus.com/record/display.uri?src=s&origin=cto&ctoId=CTODS_734851850&stateKey=CTOF_734851851&eid=2-s2.0-84990062647 |
publishDate | 2016 |
record_format | openpolar |
spelling | ftunivroma3iris:oai:iris.uniroma3.it:11590/309066 2025-01-16T20:17:20+00:00 Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi Pasquali, Vittorio Gualtieri, Riccardo D’Alessandro, Giuseppe Granberg, Maria Hazlerigg, David Cagnetti, Marco LECCESE, Fabio Pasquali, Vittorio Gualtieri, Riccardo D’Alessandro, Giuseppe Granberg, Maria Hazlerigg, David Cagnetti, Marco Leccese, Fabio 2016 http://hdl.handle.net/11590/309066 https://doi.org/10.3390/electronics5030058 http://www.mdpi.com/2079-9292/5/3/58/pdf http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=19&SID=R1w9Z9ZOXjCjtjjHnCi&page=1&doc=1 https://www.scopus.com/record/display.uri?src=s&origin=cto&ctoId=CTODS_734851850&stateKey=CTOF_734851851&eid=2-s2.0-84990062647 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000385490400007 volume:5 issue:3 firstpage:1 lastpage:15 numberofpages:15 journal:ELECTRONICS http://hdl.handle.net/11590/309066 doi:10.3390/electronics5030058 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84990062647 http://www.mdpi.com/2079-9292/5/3/58/pdf http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=19&SID=R1w9Z9ZOXjCjtjjHnCi&page=1&doc=1 https://www.scopus.com/record/display.uri?src=s&origin=cto&ctoId=CTODS_734851850&stateKey=CTOF_734851851&eid=2-s2.0-84990062647 Data-logger I/O (Input/Output) board Locomotor activity Raspberry-Pi Single-board computer Control and Systems Engineering Signal Processing Hardware and Architecture Computer Networks and Communications Electrical and Electronic Engineering info:eu-repo/semantics/article 2016 ftunivroma3iris https://doi.org/10.3390/electronics5030058 2024-01-24T17:37:08Z 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 Anagrafe della Ricerca d'Ateneo (Universitá degli studi Roma Tre) Arctic Electronics 5 4 58 |
spellingShingle | Data-logger I/O (Input/Output) board Locomotor activity Raspberry-Pi Single-board computer Control and Systems Engineering Signal Processing Hardware and Architecture Computer Networks and Communications Electrical and Electronic Engineering Pasquali, Vittorio Gualtieri, Riccardo D’Alessandro, Giuseppe Granberg, Maria Hazlerigg, David Cagnetti, Marco LECCESE, Fabio Monitoring and analyzing of circadian and ultradian locomotor activity based on Raspberry-Pi |
title | 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_short | 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 |
topic | Data-logger I/O (Input/Output) board Locomotor activity Raspberry-Pi Single-board computer Control and Systems Engineering Signal Processing Hardware and Architecture Computer Networks and Communications Electrical and Electronic Engineering |
topic_facet | Data-logger I/O (Input/Output) board Locomotor activity Raspberry-Pi Single-board computer Control and Systems Engineering Signal Processing Hardware and Architecture Computer Networks and Communications Electrical and Electronic Engineering |
url | http://hdl.handle.net/11590/309066 https://doi.org/10.3390/electronics5030058 http://www.mdpi.com/2079-9292/5/3/58/pdf http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=19&SID=R1w9Z9ZOXjCjtjjHnCi&page=1&doc=1 https://www.scopus.com/record/display.uri?src=s&origin=cto&ctoId=CTODS_734851850&stateKey=CTOF_734851851&eid=2-s2.0-84990062647 |