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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorVeltkamp, Remco
dc.contributor.authorBelksma, Rick
dc.date.accessioned2025-08-29T00:02:24Z
dc.date.available2025-08-29T00:02:24Z
dc.date.issued2025
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/50117
dc.description.abstractThis study examined the temporal dynamics of ultra-weak photon emission (UPE) from the hands and the effect of transient blood flow restriction on emission patterns. Photon counts from dorsal and palmar surfaces were analysed using frequency distribution, Fano factor, spectral analysis, and recurrence quantification analysis. Results indicated that UPE exhibits predominantly stochastic, right-skewed distributions with variability exceeding that of a Poisson process. While Fano factor and spectral analyses provided limited evidence of persistent structure, recurrence analysis revealed occasional short-lived deterministic patterns, particularly in palmar regions. A significant decrease in photon emission (~15.8%) followed blood flow restriction, demonstrating UPE’s sensitivity to physiological changes. However, reproducibility and within-subject consistency varied widely (wsCV: 37–53%), highlighting the need for improved measurement protocols. Overall, UPE appears to be governed largely by random processes but remains responsive to acute physiological interventions, supporting its potential as a non-invasive biomarker for metabolic and vascular status.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectThe study investigates the temporal variability of ultra-weak photon emission from the human hands, exploring its statistical properties and physiological significance.
dc.titleTemporal Variability in Ultra-weak Photon Emission: A Time Series Analysis of Photon Count Data
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsUltra-weak photon emission, Photon count data, Time series analysis, Non-linear dynamics
dc.subject.courseuuApplied Data Science
dc.thesis.id53218


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