P
Pjm Pierre Cluitmans
Researcher at Eindhoven University of Technology
Publications - 21
Citations - 2701
Pjm Pierre Cluitmans is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: EEG-fMRI & Electroencephalography. The author has an hindex of 11, co-authored 21 publications receiving 2411 citations.
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Journal ArticleDOI
Long-term postoperative cognitive dysfunction in the elderly: ISPOCD1 study
J. T. Moller,Pjm Pierre Cluitmans,Lars S. Rasmussen,Peter J. Houx,H Rasmussen,Jaume Canet,Patrick Rabbitt,Jellemer Jolles,K. Larsen,CD Hanning,Olivier Langeron,T Johnson,PM Lauven,P A Kristensen,A Biedler,H van Beem,O Fraidakis,Jeffrey H. Silverstein,Jew Jan Beneken,JS Gravenstein +19 more
TL;DR: The findings of this international multicentre study have implications for studies of the causes of cognitive decline and, in clinical practice, for the information given to patients before surgery.
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A higher illuminance induces alertness even during office hours: findings on subjective measures, task performance and heart rate measures.
TL;DR: The results demonstrate that even under normal, i.e., neither sleep nor light deprived conditions, more intense light can improve feelings of alertness and vitality, as well as objective performance and physiological arousal.
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Detection of muscle artefact in the normal human awake EEG
TL;DR: Results indicate a 1 s epoch length as optimal for detection of muscle artefact, and analysis using a slope threshold or absolute 'high beta' power showed the best results in sensitivity and specificity, matching the expert's performance.
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Clinical evaluation of a method for automatic detection and removal of artifacts in auditory evoked potential monitoring
TL;DR: The described method of automatic detection and removal of artifacts in AEP recordings effectively improves the quality of the resulting AEP waveform, without excessive rejection of artifact-free signal periods.
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Context related artefact detection in prolonged EEG recordings
TL;DR: Results indicate that a relatively short period (20-40 s) provides sufficient context information for the methods used, and the combined AR and Slope detection parameters yielded good performance, detecting approximately 90% of the artefacts as indicated by the consensus score of the human observers.