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Connection

David Simpson to Signal Processing, Computer-Assisted

This is a "connection" page, showing publications David Simpson has written about Signal Processing, Computer-Assisted.

 
Connection Strength
 
 
 
1.571
 
  1. Fisher AC, McCulloch DL, Borchert MS, Garcia-Filion P, Fink C, Eleuteri A, Simpson DM. Comparison of human expert and computer-automated systems using magnitude-squared coherence (MSC) and bootstrap distribution statistics for the interpretation of pattern electroretinograms (PERGs) in infants with optic nerve hypoplasia (ONH). Doc Ophthalmol. 2015 Aug; 131(1):25-34.
    View in: PubMed
    Score: 0.458
  2. Simpson DM, De Stefano A, Allen R, Lutman ME. Demystifying biomedical signals: a student centred approach to learning signal processing. Med Eng Phys. 2005 Sep; 27(7):583-9.
    View in: PubMed
    Score: 0.237
  3. Simpson DM, Tierra-Criollo CJ, Leite RT, Zayen EJ, Infantosi AF. Objective response detection in an electroencephalogram during somatosensory stimulation. Ann Biomed Eng. 2000 Jun; 28(6):691-8.
    View in: PubMed
    Score: 0.164
  4. Zanotelli T, Antunes F, Simpson DM, Mazoni Andrade Mar?al Mendes E, Felix LB. Faster automatic ASSR detection using sequential tests. Int J Audiol. 2020 08; 59(8):631-639.
    View in: PubMed
    Score: 0.161
  5. Lioi G, Bell SL, Smith DC, Simpson DM. Directional connectivity in the EEG is able to discriminate wakefulness from NREM sleep. Physiol Meas. 2017 Aug 22; 38(9):1802-1820.
    View in: PubMed
    Score: 0.136
  6. Nikolic D, Birch AA, Panerai RB, Simpson DM. Assessing cerebral blood flow control from variability in blood pressure and arterial CO2 levels. Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug; 2015:1785-8.
    View in: PubMed
    Score: 0.118
  7. Schlindwein FS, Vieira MH, Vasconcelos CF, Simpson DM. Real-time digital processing of Doppler ultrasound signals and calculation of flow parameters. Med Prog Technol. 1994; 20(1-2):81-9.
    View in: PubMed
    Score: 0.105
  8. Simpson DM, Panerai RB, Evans DH, Garnham J, Naylor AR, Bell PR. Estimating normal and pathological dynamic responses in cerebral blood flow velocity to step changes in end-tidal pCO2. Med Biol Eng Comput. 2000 Sep; 38(5):535-9.
    View in: PubMed
    Score: 0.042
  9. Katsogridakis E, Simpson DM, Bush G, Fan L, Birch AA, Allen R, Potter JF, Panerai RB. Coherent averaging of pseudorandom binary stimuli: is the dynamic cerebral autoregulatory response symmetrical? Physiol Meas. 2017 Nov 30; 38(12):2164-2175.
    View in: PubMed
    Score: 0.035
  10. Oliveira LF, Simpson DM, Nadal J. Calculation of area of stabilometric signals using principal component analysis. Physiol Meas. 1996 Nov; 17(4):305-12.
    View in: PubMed
    Score: 0.032
  11. Katsogridakis E, Simpson DM, Bush G, Fan L, Birch AA, Allen R, Potter JF, Panerai RB. Revisiting the frequency domain: the multiple and partial coherence of cerebral blood flow velocity in the assessment of dynamic cerebral autoregulation. Physiol Meas. 2016 07; 37(7):1056-73.
    View in: PubMed
    Score: 0.031
  12. Meel-van den Abeelen AS, Simpson DM, Wang LJ, Slump CH, Zhang R, Tarumi T, Rickards CA, Payne S, Mitsis GD, Kostoglou K, Marmarelis V, Shin D, Tzeng YC, Ainslie PN, Gommer E, M?ller M, Dorado AC, Smielewski P, Yelicich B, Puppo C, Liu X, Czosnyka M, Wang CY, Novak V, Panerai RB, Claassen JA. Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure-flow relation: the CARNet study. Med Eng Phys. 2014 May; 36(5):620-7.
    View in: PubMed
    Score: 0.027
  13. Ramos EG, Simpson DM, Panerai RB, Nadal J, Lopes JM, Evans DH. Objective selection of signals for assessment of cerebral blood flow autoregulation in neonates. Physiol Meas. 2006 Jan; 27(1):35-49.
    View in: PubMed
    Score: 0.015
  14. Panerai RB, Simpson DM, Deverson ST, Mahony P, Hayes P, Evans DH. Multivariate dynamic analysis of cerebral blood flow regulation in humans. IEEE Trans Biomed Eng. 2000 Mar; 47(3):419-23.
    View in: PubMed
    Score: 0.010
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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