Depression sub-health-state scoring with modified Lempel-Ziv algorithm on auricular point NIRS image
In: 9th IEEE International Conference on Cognitive Informatics (ICCI'10), 2010-07-01
Online
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Zugriff:
This paper presents a practical signature algorithm Lock-Key (LK) for depression sub-health-state scoring. The LK in formula of LKn/LKp is one kind of modified Lempel-Ziv compression algorithm with bi-threshold values of multi-fractal mean ± μ. Based on quiet mind balance criterion LKn/LKp equals to 1, with the tandem methods of LK multi-fractal and db3 wavelet (sub-2, j=1, 10) embedded into our instrument named auricular point near infrared spectroscopy (Chinese appraisal certificate No.1017), one male master student burdened slight depressive disorder in 10-subject had been successfully forecast and further verified by the psychotherapist in Hamilton depression questionnaire. Through combining the auricular point brain mapping theory with the low frequency oxygenic hemodynamics, the in vivo biomeasurement keys aim at the brain neurotransmitters' biochemistry features of supper slow spontaneous oscillations and nonlinear time-space couplings. The high detection validity of total interaction between the brain neurotransmitters had been confirmed in contrast tests of the mobile phone radiation and of the medical Calcium ion inducement. Our method-based future SoC will monitor conveniently depression in family compared with expensive instruments of MRS and ET (Encephalofluctuograph Technology) in hospital.
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Depression sub-health-state scoring with modified Lempel-Ziv algorithm on auricular point NIRS image
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Autor/in / Beteiligte Person: | Wenshi, Li |
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Zeitschrift: | 9th IEEE International Conference on Cognitive Informatics (ICCI'10), 2010-07-01 |
Veröffentlichung: | IEEE, 2010 |
Medientyp: | unknown |
DOI: | 10.1109/coginf.2010.5599772 |
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