References
36 sources across 7 domains
Cardiac Rhythm & Pacing
Bettermann, H., Amponsah, D., Cysarz, D. & Van Leeuwen, P. (1999). Musical rhythms in heart period dynamics: a cross-cultural and interdisciplinary approach to cardiac rhythms.
American Journal of Physiology — Heart and Circulatory Physiology, 277(5), H1762–H1770
cardiac rhythmethnomusicologyadditive meter
Shanks, J., Paton, J. F. R., Ramchandra, R. et al. (2022). Reverse re-modelling chronic heart failure by reinstating heart rate variability.
Basic Research in Cardiology, 117(1), 5
heart failurehrv
Task Force of the European Society of Cardiology (1996). Heart rate variability: standards of measurement, physiological interpretation and clinical use.
Circulation, 93(5), 1043–1065
hrvstandards
Piskorski, J. & Guzik, P. (2007). Geometry of the Poincaré plot of RR intervals and its asymmetry in healthy adults.
Physiological Measurement, 28(3), 287–300
poincaré plotasymmetry
Chew, E. (2018). Notating disfluencies and temporal deviations in music and arrhythmia.
Music & Science, 1, 1–22
musicarrhythmia
Ceryx Medical (2022–2025). Cysoni bionic pacemaker: preclinical and clinical trial data.
University of Auckland / Ceryx Medical Ltd.
bionic pacemakerrsa pacing
Graves, M. (1941–2021). Research on cardiac rhythm, percussive entrainment, and adaptive rhythmic capacity.
Bennington College (1973–2012). Documented in: Meginsky & Young (dirs.), Milford Graves: Full Mantis (2018); Christman (curator), A Mind-Body Deal (2020–2023). Grand Unification, Tzadik Records (1998). Guggenheim Fellow (2000). Doris Duke Impact Award (2015).
drummingadaptive rhythmbody of work
Retinal Vasculature & Cardiovascular Diagnostics
Wong, T. Y. & Mitchell, P. (2004). Hypertensive retinopathy.
New England Journal of Medicine, 351(22), 2310–2317
retinalcardiovascular
McGeechan, K., Liew, G., Macaskill, P. et al. (2009). Meta-analysis: retinal vessel caliber and risk for coronary heart disease.
Annals of Internal Medicine, 151(6), 404–413
retinalmeta-analysischd
Liew, G., Wang, J. J., Mitchell, P. & Wong, T. Y. (2008). Retinal vascular imaging: a new tool in microvascular disease research.
Circulation: Cardiovascular Imaging, 1(2), 156–161
retinal imagingmicrovascular
Liu, R., Jian, W., Zhao, Y. et al. (2020). Retinal oxygen saturation and vessel diameter in patients with chronic kidney disease.
Acta Ophthalmologica, 99(3), e352–e359
retinalrenal
Kanbay, M., Guldan, M., Ozbek, L. et al. (2024). Unveiling the intricacies of chronic kidney disease: from ocular manifestations to therapeutic frontiers.
European Journal of Clinical Investigation, 55(1), e14324
ckdocular
Periodontal & Cardiovascular Correlation
Lockhart, P. B., Bolger, A. F., Papapanou, P. N. et al. (2012). Periodontal disease and atherosclerotic vascular disease: does the evidence support an independent association?
AHA Scientific Statement. Circulation, 125(20), 2520–2544
periodontalcardiovascularaha
Tran, A. H., Zaidi, A. H., Bolger, A. F. et al. (2026). Periodontal disease and atherosclerotic cardiovascular disease: a scientific statement from the American Heart Association (updated).
Circulation, 153, e73–e88
periodontalaha
Cardiac Interoception & Heartbeat-Evoked Potentials
Critchley, H. D. & Garfinkel, S. N. (2017). Interoception and emotion.
Current Opinion in Psychology, 17, 7–14
interoceptionemotion
Garfinkel, S. N., Seth, A. K., Barrett, A. B., Suzuki, K. & Critchley, H. D. (2015). Knowing your own heart: distinguishing interoceptive accuracy from interoceptive awareness.
Biological Psychology, 104, 65–74
interoceptionaccuracy
Garfinkel, S. N. & Critchley, H. D. (2016). Threat and the body: how the heart supports fear processing.
Trends in Cognitive Sciences, 20(1), 34–46
cardiac cyclefear
Edwards, L., Ring, C., McIntyre, D., Winer, J. B. & Martin, U. (2009). Sensory detection thresholds are modulated across the cardiac cycle.
Psychophysiology, 46(2), 252–256
systolediastoleperception
Arterial Stiffness & Vascular Remodelling
Laurent, S., Cockcroft, J., Van Bortel, L. et al. (2006). Expert consensus document on arterial stiffness: methodological issues and clinical applications.
European Heart Journal, 27(21), 2588–2605
arterial stiffnesspwvconsensus
Boutouyrie, P., Laurent, S. & Briet, M. (2008). Importance of arterial stiffness as cardiovascular risk factor for future development of new type of drugs.
Fundamental & Clinical Pharmacology, 22(3), 241–246
arterial stiffnessrisk factor
Roustit, M. & Cracowski, J. (2012). Non-invasive assessment of skin microvascular function in humans: an insight into methods.
Microcirculation, 19(1), 47–64
capillaroscopymicrovascular
Anyfanti, P., Gkaliagkousi, E., Triantafyllou, A. et al. (2018). Dermal capillary rarefaction as a marker of microvascular damage.
Microcirculation, 25(5), e12451
capillarycardiovascular
Epilepsy, SUDEP & Brain-Heart Coupling
Nashef, L., So, E. L., Ryvlin, P. & Tomson, T. (2012). Unifying the definitions of sudden unexpected death in epilepsy.
Epilepsia, 53(2), 227–233
sudepdefinition
Ryvlin, P., Nashef, L., Lhatoo, S. D. et al. (2013). Incidence and mechanisms of cardiorespiratory arrests in epilepsy monitoring units (MORTEMUS).
Lancet Neurology, 12(10), 966–977
sudepcardiac arrestmortemus
Lotufo, P. A., Valiengo, L., Bensenor, I. M. & Brunoni, A. R. (2012). A systematic review and meta-analysis of heart rate variability in epilepsy and antiepileptic drugs.
Epilepsia, 53(2), 272–282
hrvepilepsymeta-analysis
Cryptography & Side-Channel Analysis
IACR ePrint 2024/1869. COSIC, KU Leuven.
perceptual hashingneuralhash
IACR Communications in Cryptology, 2(3). COSIC.
anonymous credentialskvac
arXiv, 26pp
side-channelpower analysis
International Association for Cryptologic Research
cryptography
Computer Security and Industrial Cryptography — KU Leuven
ku leuven
Color Science & Perception
Li, Xu & Luo (2026). Helmholtz-Kohlrausch effect — bimodal hue dependency.
Color Research & Application, 51(2). DOI: 10.1002/col.70057
h-k effectperception
Stolitzka, Agahian & Poynton (2025). Modeling the HDR display with XCR.
Information Display, 41(4). DOI: 10.1002/msid.1596
hdrdisplay
Avendano Martinez, Zuena & Pytlarz (2024). Perceived brightness of chromatic stimuli with backgrounds of varying luminance.
Color Research & Application, 50(1). DOI: 10.1002/col.22949
brightnesscam16
High, Green & Nussbaum (2023). The Helmholtz-Kohlrausch effect on display-based light colors.
Color Research & Application, 48(2). DOI: 10.1002/col.22839
h-k effectdisplay
AI Training & Model Behavior
Shumailov et al. (2023–2024). Model collapse in recursive training.
Nature. Model autophagy disorder.
model collapsesynthetic data
Rong (2024). AI color palette bias in generated posters.
Color Research & Application. 120 AI-generated vs 120 human-designed.
color biasai generation
Distributional convergence in generative AI outputs.
Anthropic Applied AI team — documented in Claude Code frontend design skill
distributional convergence