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C13 Physical activity monitoring of transgenic minipigs using telemetric accelerometer
  1. Matous Pokorny1,
  2. Stefan Juhas2,
  3. Jana Juhasova2,
  4. Jiri Klima2,
  5. Jan Motlik2,
  6. Jiri Klempir3,
  7. Jan Havlik1
  1. 1Faculty of Electrical Engineering of Czech Technical University in Prague, Prague, Czech Republic
  2. 2Institute of Animal Physiology and Genetics, Academy of Sciences, Libechov, Czech Republic
  3. 3Department of Neurology and Centre of Clinical Neuroscience, 1st Faculty of Medicine and General University Hospital in Prague, Charles University in Prague, Prague, Czech Republic; Institute of Anatomy, 1st Faculty of Medicine, Charles University in Prague, Prague, Czech Republic


Background Animal models are very useful tool for research in the field of Huntington’s disease (HD). In the last years large animal models were developed to improve understanding of HD because the complexity of their brain. Transgenic (TgHD) minipig expressing N-terminal part of human huntingtin with 124 CAG/CAA repeats seems to be very promising model of HD.

Aims The aim of study was to find and measure the physical activity disturbances by three-years-old boars using telemetric accelerometer. The disturbances could be characterised by deficit in sleep and circadian organisation of TgHD boars expressing human mutated huntingtin in comparison with wild type boars (WT).

Methods/techniques The physical activity was continuously measured by five TgHD and five WT animals during the six days. RodentPACK2 transmitter was used as telemetric accelerometer. Every pig wore the collar with one accelerometer. Measured data was statistically processed in the software ecgAUTO provided by accelerometer manufacturer – emka TECHNOLOGIES.

Results/outcome The analysis have shown significant decrease of physical activity of TgHD boars between 4:40 and 5:30 a.m. (after night sleep and before morning feeding) in comparison with WT boars which could be explained with disturbed energy metabolism.

Conclusions Telemetric accelerometers will play an important role in the study of physical activity because it is precise, objective and automatic method for a classification of physical activity disturbances. It will lead to deeper characterisation of large animal HD models in preclinical and clinical phase.

Acknowledgements This work was supported by the 7 F – EEA/Norwegian Financial Mechanism (2008–2017) 7F14308, CHDI Foundation (A-5378, A-8248), ExAM – CZ.1.05./2.1.00/03.0124, RVO: 67985904 and SGS14/191/OHK3/3T/13 – Advanced algorithms of digital signal processing and their applications.

  • physical activity
  • minipig
  • telemetry
  • accelerometer

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