2015
DOI: 10.1017/s1751731114002596
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Indicators used in livestock to assess unconsciousness after stunning: a review

Abstract: Assessing unconsciousness is important to safeguard animal welfare shortly after stunning at the slaughter plant. Indicators that can be visually evaluated are most often used when assessing unconsciousness, as they can be easily applied in slaughter plants. These indicators include reflexes originating from the brain stem (e.g. eye reflexes) or from the spinal cord (e.g. pedal reflex) and behavioural indicators such as loss of posture, vocalisations and rhythmic breathing. When physically stunning an animal, … Show more

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Cited by 79 publications
(97 citation statements)
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References 68 publications
(85 reference statements)
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“…While time to loss of posture may be affected by a range of factors including ambient temperature, there is a need for brain and behavioural measures in the same bird to allow a more robust assessment of the welfare impact of the process and corroborate indicators of loss of consciousness [51].…”
Section: Accepted M Manuscriptmentioning
confidence: 99%
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“…While time to loss of posture may be affected by a range of factors including ambient temperature, there is a need for brain and behavioural measures in the same bird to allow a more robust assessment of the welfare impact of the process and corroborate indicators of loss of consciousness [51].…”
Section: Accepted M Manuscriptmentioning
confidence: 99%
“…In this way, we ensured good visibility of birds for observations while controlling for social isolation which might otherwise affect the behaviour of birds killed individually, while maximising the size of the behavioural data set. To interpret EEG responses in relation to loss of consciousness, we applied a range of methods including spectral analysis which has been recently widely adopted [7,20,25,50,51]. In particular, we determined latencies to recently validated species-specific thresholds for different clinical states of consciousness [32,33,47].…”
Section: Accepted M Manuscriptmentioning
confidence: 99%
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