Surgery – Diagnostic testing – Detecting brain electric signal
Reexamination Certificate
2007-06-12
2007-06-12
Hindenburg, Max F. (Department: 3735)
Surgery
Diagnostic testing
Detecting brain electric signal
C600S545000
Reexamination Certificate
active
10886485
ABSTRACT:
The invention relates to detection of encephalopathy based on EEG signal data obtained from a patient. A first signal component is derived from the EEG signal data, the first signal component representing low frequencies of the EEG signal data. A first parameter indicative of disorder in the first signal component and a second parameter indicative of disorder in EEG signal data representing a first frequency band are then computed, wherein the first frequency band includes higher frequencies than said low frequencies. An indicator of encephalopathy is then determined based on the first parameter and the second parameter, the indicator of encephalopathy being indicative of encephalopathy.
REFERENCES:
patent: 5857979 (1999-01-01), Ryu et al.
patent: 6731975 (2004-05-01), Viertio-Oja et al.
patent: WO-02/32305 (2002-04-01), None
al Naqeeb et al. “Assessment of Neonatal Encephalopathy by Amplitude-integrated Electroencephalography”. 1999; 103:1263-1271. Accessed at http://www.pedatrics.org/cgi/content/full/103/6/1263.
Objective Measurement of Hepatic Encephalopathy by means of Automated EEG Analysis, Carin et al., Electroencaphalography and clinical Neurophysiology, 1984, 47: 423-426.
Prognosis Significance of EEG Triphasic Waves in Patients with Altered State of Consciousness, Bahamon-Dussan et al., Journal of Clinical Neurophysiology 6(4):313-319, 1984.
The EEG in systemic disorders: the encephalopathies, MacGillivray, Clinical Neurophysiology, vol. 2, EEG, Paediatric Neurophysiology, Special Techniques and Applications, 2003, pp. 308-354.
EP Search Report dated Oct. 24, 2005.
The EEG Signal in Hepatic Encephalopathy: from a Time-Domain Statistical Analysis Towards Fractional Brownian Processes, D. Pascoli et al., Fractuals in Biology and Medicine, vol. 3, 2002, pp. 137-146, XP008053424.
Nonlinear EEG Changes in Postanoxic Encephalopathy, Cornelis J. Stam, et al., Theory Biosci. (1999) 118: 209-218.
Comparison of Human Ictal ,Interictal and Normal Non-linear Component Analyses, Honghui Jin et al., Clinical Neurophysiology 111 (2000) 1282-1292.
Rautee Riina Anniina
Särkelä Mika
Andrus Sceales Starke & Sawall LLP
GE Healthcare Finland Oy
Hindenburg Max F.
Mallari Patricia
LandOfFree
Detection of encephalopathy does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Detection of encephalopathy, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detection of encephalopathy will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3855419