Coma patient analepsia prediction method

A prediction method and patient technology, applied in the directions of diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of inability to detect advanced functions of people, inability to judge subjectivity, and time-consuming measurement, and achieve high specificity and detection specificity. The effect of high, high prediction sensitivity

Inactive Publication Date: 2015-05-13
GUANGZHOU RAINJET MEDICAL EQUIP CO LTD
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0010] The present invention aims at the drawbacks of existing clinical diagnosis, such as long time-consuming scale measurement, too much subjectivity, and the inability of the existing coma physical detection technology to judge the good prognosis of coma, the inability to detect human advanced functions, and low specificity, etc., and provides a scientific method. A reliable method for predicting the awakening of comatose patients. This method integrates stimulation programs such as TON-MMN and SON-P300, and uses event-related potential technology to monitor the recovery of consciousness in comatose patients caused by brain injury, hypoxia, and metabolism in real time. And use N100, MMN, P3a and other indicators to comprehensively predict the possibility of coma patients waking up, so as to provide confidence for continuous active treatment of coma patients

Method used

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Embodiment 1

[0036] The method for predicting the awakening of coma patients described in this embodiment can monitor brain damage, hypoxia, metabolism, etc. The recovery of consciousness of the coma patient caused by the coma can be predicted more accurately for the coma patient; the specific situation is as follows:

[0037] 1) Stimulus choreography

[0038] 1.1) TON-MMN

[0039] TON-MMN, pure tone mismatch negative (MMN for short), all sound stimuli used are pure tones, including two stimuli: one is the standard stimulus 1200Hz, the probability is 90%; the other is the deviation stimulus 1300Hz, the probability is 10% , the degree of deviation is 10%, and the deviation stimulus is different in one of the five attributes of frequency, sound length, spatial position, sound intensity, and stimulus interval; the sound intensity of the two stimuli is 80dB, the duration is 75ms, and the rise / fall The time is 10ms, the stimulation interval is 600ms, and the deviation stimulus cannot be prese...

Embodiment 2

[0053] The method for predicting the awakening of a coma patient described in the present embodiment is as follows:

[0054] 1) Stimulus choreography

[0055] 1.1) TON-MMN

[0056] TON-MMN, pure tone mismatch negative (MMN for short), all the sound stimuli used are pure tones, including two stimuli: one is the standard stimulus 1500Hz, the probability is 80%; the other is the deviation stimulus 2000Hz, the probability is 20% , the degree of deviation is 150%, and the deviation stimulus is different in one of the five attributes of frequency, sound length, spatial position, sound intensity, and stimulus interval; the sound intensity of the two stimuli is 80dB, the duration is 30ms, and the rise / fall The time is 10ms, the stimulation interval is 600ms, and the deviation stimulus cannot be presented continuously. There are at least two standard stimuli between the deviation stimuli, and the total number of stimuli is 1500;

[0057] 1.2)SON-P300

[0058] SON-P300, the novel sti...

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Abstract

The invention discloses a coma patient analepsia prediction method. The method comprises the steps of 1, stimulation arrangement, 2, event related potential (ERP) detection, 3, waveform treatment, and 4, waveform recognition. According to the method, stimulation schemes including TON-MMN and SON-P300 are integrated, by means of the ERP technique, the consciousness recovery condition of a patient suffering from coma caused by cerebral injury, anoxia and metabolism can be monitored in real time, and the probability of analepsia of the coma patient is predicted comprehensively by means of indexes including N100, MMN and P3a, so that the coma patient has confidence in continuous and positive treatment. Compared with other nerve electrophysiology examination (BAEP, SEP) methods, the method has the advantage of being high in prediction sensitivity, high in specificity and high in prediction accuracy.

Description

technical field [0001] The invention relates to the technical field of event evoked potentials (ERPs), belongs to the field of neurophysiology, and in particular refers to a method for predicting the awakening of coma patients, which is used to monitor the recovery of consciousness of coma patients caused by brain injury, hypoxia, metabolism and other reasons degree, and to predict awakening in comatose patients. Background technique [0002] Going from coma to conscious consciousness requires several major functions: firstly, basic auditory function, secondly, perception function of changes in physical properties of auditory stimuli in sensory memory, and then high-level discrimination function between self and environment at low consciousness level. Because many sensory abilities of coma patients are limited under the condition of disturbance of consciousness, only auditory stimuli can easily enter the patient's brain. Sensitive components such as event-related potential N...

Claims

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Application Information

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IPC IPC(8): A61B5/04A61B5/0476
CPCA61B5/38
Inventor 杨杰
Owner GUANGZHOU RAINJET MEDICAL EQUIP CO LTD
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