118
Views
2
CrossRef citations to date
0
Altmetric
Research Article

The development of a novel high-precision major depressive disorder screening system using transient autonomic responses induced by dual mental tasks

, &
Pages 121-127 | Received 23 Aug 2017, Accepted 28 Jan 2018, Published online: 23 Mar 2018

References

  • Ginley MK, Bagge CL. Psychiatric heterogeneity of recent suicide attempters: a latent class analysis. Psychiatry Res. 2017;251:1–7.
  • Lépine JP, Gastpar M, Mendlewicz J, et al. Depression in the community: the first pan-European study DEPRES (Depression Research. In European Society). Int Clin Psychopharmacol. 1997;12:19–29.
  • Numata S, Ishii K, Tajima A, et al. Blood diagnostic biomarkers for major depressive disorder using multiplex DNA methylation profiles: discovery and validation. Epigenetics. 2015;10:135–141.
  • Pu S, Yamada T, Yokoyama K, et al. A multi-channel near-infrared spectroscopy study of prefrontal cortex activation during working memory task in major depressive disorder. Neurosci Res. 2011;70:91–97.
  • Yao Y, Sun G, Matsui T, et al. Multiple vital-sign-based infection screening outperforms thermography independent of the classification algorithm. IEEE Trans Biomed Eng. 2016;63:1025–1033.
  • Sun G, Matsui T, Hakozaki Y, et al. An infectious disease/fever screening radar system which stratifies higher-risk patients within ten seconds using a neural network and the fuzzy grouping method. J Infect. 2015;70:230–236.
  • Matsui T, Hakozaki Y, Suzuki S, et al. A novel screening method for influenza patients using a newly developed non-contact screening system. J Infect. 2010;60:271–727.
  • Matsui T, Hagisawa K, Ishizuka T, et al. A novel method to prevent secondary exposure of medical and rescue personnel to toxic materials under biochemical hazard conditions using microwave radar and infrared thermography. IEEE Trans Biomed Eng. 2004;51:2184–2188.
  • Shinba T. Altered autonomic activity and reactivity in depression revealed by heart-rate variability measurement during rest and task conditions. Psychiatry Clin Neurosci. 2014;68:225–233.
  • Malik M, Cripps T, Farrell T. Long-term spectral analysis of heart rate variability–an algorithm based on segmental frequency distributions of beat-to-beat intervals. Int J Biomed Comput. 1989;24:89–110.
  • Goldstein DS, Bentho O, Park MY. Low-frequency power of heart rate variability is not a measure of cardiac sympathetic tone but may be a measure of modulation of cardiac autonomic outflows by baroreflexes. Exp Physiol. 2011;96:1255–1266.
  • Sun G, Shinba T, Matsui T. An objective screening method for major depressive disorder using logistic regression analysis of heart rate variability data obtained in a mental task paradigm. Front Psychiatry. 2016;7:e180.
  • Homan P, Vermathen P, Van Swam C. Magnetic resonance spectroscopy investigations of functionally defined language areas in schizophrenia patients with and without auditory hallucinations. Neuroimage. 2014;94:23–32.
  • Rau S, Fesl G, Bruhns P, et al. Reproducibility of activations in Broca area with two language tasks: a functional MR imaging study. AJNR Am J Neuroradiol. 2007;28:1346–1353.
  • Liang CS, Lee JF, Chen CC. Reactive heart rate variability in male patients with first-episode major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry. 2015;56:52–57.
  • Dantas EM, Sant'Anna ML, Andreão RV. Spectral analysis of heart rate variability with the autoregressive method: what model order to choose? Comput Biol Med. 2012;42:164–170.
  • Yasin OZ, Attia Z, Dillon JJ. Noninvasive blood potassium measurement using signal-processed, single-lead ecg acquired from a handheld smartphone. J Electrocardiol. 2017;17:30182–30286.
  • Chan NY, Choy CC. Screening for atrial fibrillation in 13 122 Hong Kong citizens with smartphone electrocardiogram. Heart. 2017;103:24–31.
  • Worringham C, Rojek A, Stewart I. Development and feasibility of a smartphone, ECG and GPS based system for remotely monitoring exercise in cardiac rehabilitation. PLoS One. 2011;9:e14669.
  • Peng RC, Zhou XL, Lin W. Extraction of heart rate variability from smartphone photoplethysmograms. Comput Math Methods Med. 2015;2015:516826.
  • Guede-Fernandez F, Ferrer-Mileo V, Ramos-Castro JF. Real time heart rate variability assessment from Android smartphone camera photoplethysmography. Postural and device influences. Conf Proc IEEE Eng Med Biol Soc. 2015;7332–7335.
  • Koenig N, Seeck A, Eckstein J. Validation of a new heart rate measurement algorithm for fingertip recording of video signals with smartphones. Telemed J E Health. 2016;22:631–636.
  • Huang R, Y, Dung L, R. Measurement of heart rate variability using off-the-shelf smart phones. Biomed Eng Online. 2016;15:e11.
  • Plews DJ, Scott B, Altini M. Comparison of heart rate variability recording with smart phone photoplethysmographic, Polar H7 chest strap and electrocardiogram methods. Int J Sports Physiol Perform. 2017;14:1–17.
  • Heathers JA. Smartphone-enabled pulse rate variability: an alternative methodology for the collection of heart rate variability in psychophysiological research. Int J Psychophysiol. 2013;89:297–304.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.