JPH1176185A - Cerebral induced electric potential diagnosing device - Google Patents
Cerebral induced electric potential diagnosing deviceInfo
- Publication number
- JPH1176185A JPH1176185A JP9248975A JP24897597A JPH1176185A JP H1176185 A JPH1176185 A JP H1176185A JP 9248975 A JP9248975 A JP 9248975A JP 24897597 A JP24897597 A JP 24897597A JP H1176185 A JPH1176185 A JP H1176185A
- Authority
- JP
- Japan
- Prior art keywords
- cerebral
- evoked potential
- waveform
- wavelet
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Links
- 230000002490 cerebral effect Effects 0.000 title claims abstract description 60
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 40
- 201000010099 disease Diseases 0.000 claims abstract description 39
- 230000000007 visual effect Effects 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 22
- 206010015037 epilepsy Diseases 0.000 claims abstract description 14
- 201000000980 schizophrenia Diseases 0.000 claims abstract description 14
- 230000000638 stimulation Effects 0.000 claims abstract description 13
- 230000004936 stimulating effect Effects 0.000 claims abstract description 9
- 230000000763 evoking effect Effects 0.000 claims description 126
- 230000006870 function Effects 0.000 claims description 38
- 230000003238 somatosensory effect Effects 0.000 claims description 17
- 208000020925 Bipolar disease Diseases 0.000 claims description 12
- 208000028683 bipolar I disease Diseases 0.000 claims description 12
- 230000035807 sensation Effects 0.000 claims description 6
- 208000020016 psychiatric disease Diseases 0.000 claims description 5
- 239000002131 composite material Substances 0.000 claims description 3
- 210000004720 cerebrum Anatomy 0.000 abstract description 11
- 238000006243 chemical reaction Methods 0.000 abstract description 4
- 210000001617 median nerve Anatomy 0.000 abstract description 3
- 210000001364 upper extremity Anatomy 0.000 abstract description 3
- 230000000392 somatic effect Effects 0.000 abstract 2
- 208000028017 Psychotic disease Diseases 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 16
- 238000003745 diagnosis Methods 0.000 description 11
- 238000000034 method Methods 0.000 description 11
- 238000005259 measurement Methods 0.000 description 10
- 238000001514 detection method Methods 0.000 description 6
- 230000004044 response Effects 0.000 description 6
- 230000005856 abnormality Effects 0.000 description 4
- 238000002405 diagnostic procedure Methods 0.000 description 4
- 230000001953 sensory effect Effects 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 210000000133 brain stem Anatomy 0.000 description 3
- 238000009125 cardiac resynchronization therapy Methods 0.000 description 3
- 230000003902 lesion Effects 0.000 description 3
- 210000005036 nerve Anatomy 0.000 description 3
- 238000003909 pattern recognition Methods 0.000 description 3
- 210000004761 scalp Anatomy 0.000 description 3
- 206010028980 Neoplasm Diseases 0.000 description 2
- 208000012902 Nervous system disease Diseases 0.000 description 2
- 238000000692 Student's t-test Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 210000003710 cerebral cortex Anatomy 0.000 description 2
- 208000026106 cerebrovascular disease Diseases 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000001965 increasing effect Effects 0.000 description 2
- 230000001936 parietal effect Effects 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 238000012353 t test Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 208000003174 Brain Neoplasms Diseases 0.000 description 1
- 206010053942 Cerebral haematoma Diseases 0.000 description 1
- 208000032843 Hemorrhage Diseases 0.000 description 1
- 208000000386 Hypertensive Intracranial Hemorrhage Diseases 0.000 description 1
- 208000025966 Neurological disease Diseases 0.000 description 1
- 206010042928 Syringomyelia Diseases 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 210000003984 auditory pathway Anatomy 0.000 description 1
- 230000000740 bleeding effect Effects 0.000 description 1
- 210000003461 brachial plexus Anatomy 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 210000003169 central nervous system Anatomy 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
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- 238000010606 normalization Methods 0.000 description 1
- 210000001328 optic nerve Anatomy 0.000 description 1
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- 238000012360 testing method Methods 0.000 description 1
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Complex Calculations (AREA)
Abstract
Description
【０００１】[0001]
【発明の属する技術分野】本発明は、大脳誘発電位を用
いて精神分裂病、躁鬱病、てんかん等の精神神経科疾患
を含む疾患を診断する診断装置に関するもので、詳しく
は被験者（又は患者）から記録された体性感覚誘発電
位、視覚性誘発電位および聴覚性誘発電位などの大脳誘
発電位の波形から、当該被験者の疾患の有無、あるいは
当該被験者（患者）の罹患している、精神神経科疾患を
含む疾患を診断する診断装置に関するものである。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a diagnostic device for diagnosing psychiatric disorders including schizophrenia, manic depression, epilepsy and the like using cerebral evoked potentials, and more particularly to a subject (or patient). From the waveforms of cerebral evoked potentials such as somatosensory evoked potentials, visual evoked potentials, and auditory evoked potentials recorded from, the presence or absence of disease in the subject, or the subject (patient) affected, The present invention relates to a diagnostic device for diagnosing a disease including a disease.
【０００２】[0002]
【従来の技術】大脳誘発電位の測定波形は、例えば、高
血圧性脳出血、脊髄空洞症、脳内血腫など神経系の疾患
を特定するために広く用いられており、精神神経科疾患
を含む疾患の診断への応用も試みられている。2. Description of the Related Art Measured waveforms of cerebral evoked potentials are widely used to identify nervous system diseases such as hypertensive cerebral hemorrhage, syringomyelia, and cerebral hematoma. Application to diagnosis is also being attempted.
【０００３】大脳誘発電位は電気、視覚、音などの感覚
刺激を生体に与え、感覚受容器を経由し脳幹、大脳で誘
発される微小電位変化のことで、それを誘発する刺激に
よって、体性感覚誘発電位（Somatosensory Evoked Pot
ential：ＳＥＰ）、視覚性誘発電位（Visual Evoked Po
tential ：ＶＥＰ）、および聴覚性誘発電位（Auditory
Evoked Potential ：ＡＥＰ）などがある。[0003] Cerebral evoked potential is a minute potential change induced in the brain stem and cerebrum via sensory receptors by applying sensory stimuli such as electricity, sight, and sound to a living body. Somatosensory Evoked Pot
ential: SEP), Visual Evoked Po
tential: VEP) and auditory evoked potential (Auditory)
Evoked Potential (AEP).
【０００４】体性感覚誘発電位は、例えば上肢の正中神
経を、刺激電極を介してパルス電流で刺激したときに、
その刺激への反応が神経を上行して大脳に誘発される電
位である。このため上腕神経叢から大脳皮質に到るま
で、および中枢神経の病変の診断に利用されている。視
覚性誘発電位は、目を光刺激装置で刺激したときに、そ
の刺激への反応として大脳に誘発される電位である。通
常、例えば視覚神経路の障害の検査に利用されている。
聴覚性誘発電位、例えば耳を音響刺激装置を介してクリ
ック、トーンバースト等の音刺激を与えた時に、その刺
激への反応として大脳に誘発される電位である。聴覚機
能の客観的検査として用いられ、また脳幹内の聴覚伝導
路の活動が頭皮上から記録できるので、例えば脳幹の機
能状態を捉えることができる。[0004] The somatosensory evoked potential is, for example, when the median nerve of the upper limb is stimulated by a pulse current through a stimulation electrode.
The response to that stimulus is the potential evoked by the cerebrum ascending the nerve. For this reason, it is used for diagnosis from the brachial plexus to the cerebral cortex and the pathology of the central nervous system. The visual evoked potential is the potential evoked in the cerebrum as a response to the stimulation of the eye with a photostimulator. It is usually used, for example, for examining disorders of the optic nerve tract.
An auditory evoked potential, for example, a potential evoked in the cerebrum as a response to a stimulus such as a click or a tone burst applied to the ear via an acoustic stimulator. It is used as an objective test of the auditory function, and the activity of the auditory pathway in the brain stem can be recorded from above the scalp, so that, for example, the functional state of the brain stem can be captured.
【０００５】これらの大脳誘発電位は、頭皮上の記録電
極を介して記録される。そして、人体の内外からのノイ
ズを除くために、複数回の測定結果を加算平均してSign
al／Noise 比の高いアベレージ波形として記録される。
このように複数回の測定結果を加算平均してSignal／No
ise 比を高めて記録された大脳誘発電位も、被験者の個
人差、記録条件の差異によって、なおバラツキの大きい
波形である。[0005] These cerebral evoked potentials are recorded via recording electrodes on the scalp. Then, in order to remove noise from inside and outside of the human body, multiple measurement results are averaged and
Recorded as an average waveform with a high al / Noise ratio.
In this way, the signal / No is calculated by averaging the results of multiple measurements.
The cerebral evoked potentials recorded by increasing the ise ratio are still waveforms that vary greatly due to individual differences between subjects and differences in recording conditions.
【０００６】従来の大脳誘発電位記録装置は、記録され
たこれらの大脳誘発電位、即ち、体性感覚誘発電位、視
覚性誘発電位および聴覚性誘発電位などを、アナログ波
形としてＣＲＴやサーマルアレイレコーダなどにより表
示し、さらにアナログ波形やディジタルのデータとして
随時外部装置へ出力する。また、測定データは、加算、
減算、スムージング、スーパーインポーズ、高速フーリ
エ変換による周波数分析などの波形処理により、また各
波形成分の潜時や振幅などの詳細な波形計測が行えるよ
うに、より観察し易いデータとして提供される。A conventional cerebral evoked potential recording apparatus uses these recorded cerebral evoked potentials, ie, somatosensory evoked potentials, visual evoked potentials, and auditory evoked potentials, as analog waveforms such as CRTs and thermal array recorders. And output it to an external device as needed as an analog waveform or digital data. Also, the measurement data is added,
It is provided as data that is easier to observe so that waveform processing such as frequency analysis by subtraction, smoothing, superimposition, and fast Fourier transform, and detailed waveform measurement such as the latency and amplitude of each waveform component can be performed.
【０００７】大脳誘発電位、即ち、体性感覚誘発電位、
視覚性誘発電位および聴覚性誘発電位などの波形は、脳
血管障害や脳腫瘍など、当該神経路に障害を及ぼす疾患
によって異常を呈するものであり、医師がかかる精神神
経科疾患の有無を判断するに当たって、かかる大脳誘発
電位の波形を直接目視により観察し、またはデータ処理
装置による波形解析の結果を見て、疾患の有無、病巣の
所在を判断している。波形成分の分析は、通常、注目す
る波形成分の潜時、成分間の伝導時間、および各成分の
振幅の観察、さらに特定の成分の有無などにより行われ
る。波形の陽性成分および陰性成分がともに観察の対象
となる。しかしながら、まだ器質的病変が認められない
精神分裂病や躁鬱病、多様な病因や病変をもつてんかん
等についてはそれらの大脳誘発電位の差異について、波
形解析による報告はあるが、一般的に認められているも
のはない。まして、個人間で大きなバラツキを持つ大脳
誘発電位の波形を医師が目視して、それらの波形からこ
れらの疾患の有無を判断し診断するなどは、医師の目視
による主観的な判断能力の限界を超えるものであった。Cerebral evoked potentials, ie somatosensory evoked potentials,
Waveforms such as visual evoked potentials and auditory evoked potentials are abnormal due to diseases that affect the nerve tract, such as cerebrovascular disorders and brain tumors. The presence or absence of a disease and the location of a lesion are determined by directly observing the waveform of the cerebral evoked potential by visual observation or by observing the result of waveform analysis by a data processing device. The analysis of the waveform component is usually performed by observing the latency of the waveform component of interest, the conduction time between components, the amplitude of each component, and the presence or absence of a specific component. Both the positive and negative components of the waveform are to be observed. However, for schizophrenia and manic depression, for which no organic lesion has yet been identified, and for epilepsy with various etiologies and lesions, differences in their cerebral evoked potentials have been reported by waveform analysis, but are generally recognized. There is nothing. Furthermore, doctors visually observe the waveforms of cerebral evoked potentials, which vary greatly between individuals, and judge the presence or absence of these diseases based on those waveforms. Exceeded.
【０００８】[0008]
【発明が解決しようとする課題】従来の、このような大
脳誘発電位の目視による判断は、医師の個人的判断に依
存するため、医師間で判断が相違する場合が生ずるとい
う問題点があった。脳血管障害や濃腫瘍などを診断する
場合にも、大脳誘発電位の波形の異常は、特定の出血
部、腫瘍部等からの特異な信号としてその疾患、あるい
はその疾患部位に規則的に対応して現われるわけではな
く、複数の要因に基づいて複数の波形成分に発生した異
常に基づき、その疾患に特有の異常を抽出して総合的に
判断する必要があるため、同じ医師においても判断にバ
ラツキが生ずる可能性があるという問題点があった。さ
らに大きな個人差の中に埋没している精神分裂病や躁鬱
病、てんかん等の大脳誘発電位の波形の差異を判断する
ことは、医師の目視による主観的な判断の限界を超える
ものであり、データ処理装置による波形解析の結果か
ら、疾患の有無、疾患の種類を判断することも、まだ試
行の段階にあった。Conventionally, such a visual judgment of the cerebral evoked potential depends on the personal judgment of the doctor, and thus there is a problem that the judgment may differ between doctors. . Even when diagnosing a cerebrovascular disorder or a dense tumor, abnormalities in the cerebral evoked potential waveforms correspond to the disease or the disease site as a unique signal from a specific bleeding site or tumor site. It is not necessary to extract abnormalities that are specific to the disease based on abnormalities that have occurred in multiple waveform components based on multiple factors. However, there is a problem that the problem may occur. Determining the differences in cerebral evoked potential waveforms such as schizophrenia, manic depression, and epilepsy buried in larger individual differences is beyond the limits of the subjective judgment of physicians visually, It was still at the trial stage to determine the presence or absence of a disease and the type of a disease from the results of waveform analysis by the data processing device.
【０００９】人為的判断のバラツキを改善するため、お
よび主観的な目視による判断の限界を超えて大脳誘発電
位の波形の異常を特定するためには、観測された波形を
デジタル化しパターン認識することが従来より行われて
いる。信号波形のパターン認識には、例えば、観測波形
から高速フーリエ変換を利用してスペクトルパターンを
抽出し標準的なパターンと比較する方法、特に、時間軸
上のある部分的な空間のみを取出し短時間のスペクトル
を求める方法、信号の相互の順序関係を崩さずに波形を
局所的に伸縮しつつ比較する伸縮マッチング法、線形予
測係数（LinearPrediction Coefficient ：ＬＰＣ）を
求める方法、およびテンプレートマッチングなどを用い
ることができる。しかし、上記一般的なパターン認識技
術では、主要な波形パターンの特徴を抽出し識別するこ
とは容易であっても、本願の目的とするような、その信
号の特徴を示す正常者のパターンに付加される比較的振
幅の小さい多種類の異常パターンの特徴を抽出し、その
異常パターンの組合わせから総合的な判断を必要とする
精神神経科的疾患の有無を高い精度で識別することは困
難ないしは不可能であった。In order to improve the variability of artificial judgments and to identify abnormalities in the cerebral evoked potential waveform beyond the limits of subjective visual judgment, digitize the observed waveforms and perform pattern recognition. Has been performed conventionally. For pattern recognition of signal waveforms, for example, a method of extracting a spectrum pattern from an observed waveform using fast Fourier transform and comparing it with a standard pattern, in particular, extracting only a certain partial space on the time axis, , A method of estimating the linear prediction coefficient (LPC), a method of obtaining a linear prediction coefficient (LPC), and a method of template matching. Can be. However, with the above-mentioned general pattern recognition technology, it is easy to extract and identify the characteristics of the main waveform pattern, but it is added to the pattern of the normal person indicating the characteristics of the signal as intended for the present application. It is difficult or difficult to extract the characteristics of various types of abnormal patterns with relatively small amplitude, and to identify with high accuracy the presence or absence of a psychiatric neurological disease that requires comprehensive judgment from the combination of the abnormal patterns. It was impossible.
【００１０】本発明は、上記従来の問題点に鑑みてなさ
れたもので、被験者の精神神経科疾患を含む疾患の有
無、あるいは当該被験者の罹患している精神神経科疾患
を含む疾患の種類を、体性感覚誘発電位、視覚性誘発電
位および聴覚性誘発電位などの大脳誘発電位の測定結果
に基づき、高い検出率で診断できる診断装置を提供する
ことを、その目的とする。The present invention has been made in view of the above-mentioned conventional problems, and is intended to determine the presence or absence of a disease including a neuropsychiatric disease in a subject, or the type of a disease including a neuropsychiatric disease in which the subject is affected. It is an object of the present invention to provide a diagnostic device capable of diagnosing at a high detection rate based on the measurement results of cerebral evoked potentials such as somatosensory evoked potentials, visual evoked potentials, and auditory evoked potentials.
【００１１】[0011]
【課題を解決するための手段】本発明は、各被験者から
記録された大脳誘発電位、即ち、体性感覚誘発電位、視
覚性誘発電位および聴覚性誘発電位の波形について、Wa
velet 関数、特にHarrWavelet関数により固有値分解
し、その数値を波形のWavelet 値とし、これらのWavele
t 値を、正常者、精神分裂病、躁鬱病、てんかん等の各
被験者群の間で計測し、その差異をｔ−検定により統計
検定するものである。SUMMARY OF THE INVENTION The present invention relates to a method for measuring cerebral evoked potentials recorded from each subject, namely, somatosensory evoked potentials, visual evoked potentials, and auditory evoked potentials.
The eigenvalue is decomposed by the velet function, especially the HarrWavelet function, and the numerical value is used as the wavelet value of the waveform.
The t value is measured among each group of subjects, such as a normal person, schizophrenia, manic depression, and epilepsy, and the difference is statistically tested by a t-test.
【００１２】本発明は精神神経科疾患等の所定の疾患を
罹患する患者の示す所定の各感覚に対する大脳誘発電位
の波形についてWavelet 関数を用いて処理した第１の処
理値を記録する記録手段と、被験者の所定の感覚を刺激
する手段と、前記所定の刺激により誘発された各大脳誘
発電位を測定する手段と、前記測定された各大脳誘発電
位の波形をWavelet 関数を用いて処理しその結果得られ
た第２の処理値を記録する手段と、前記第１の処理値と
対応する前記第２の処理値を比較する手段と、前記比較
結果に基づき当該被験者の疾患の有無あるいは当該被験
者の罹患している精神神経科疾患を含む疾患の種類を出
力する手段を具備する診断装置である。そして、前記所
定の各感覚の刺激による誘発電位は体性感覚誘発電位、
視覚性誘発電位および聴覚性誘発電位のいずれか、また
は体性感覚誘発電位、視覚性誘発電位および聴覚性誘発
電位のうち少なくとも２つの組み合わせである診断装置
であり、前記各大脳誘発電位の波形をWavelet 関数を用
いて処理する手段は、測定された各大脳誘発電位の波形
とWavelet 関数との合成積を数値積分する手段と各階層
のWavelet 値を決定する手段を含むことを特徴とする診
断装置であり、前記Wavelet 関数はHarr Wavelet関数で
あることを特徴とする診断装置である。The present invention relates to recording means for recording a first processing value obtained by processing using a Wavelet function with respect to a waveform of a cerebral evoked potential for each predetermined sensation shown by a patient suffering from a predetermined disease such as a neuropsychiatric disease. Means for stimulating a predetermined sensation of the subject, means for measuring each cerebral evoked potential evoked by the predetermined stimulus, and processing the measured waveform of each cerebral evoked potential using a Wavelet function, and as a result Means for recording the obtained second processing value, means for comparing the second processing value corresponding to the first processing value, presence / absence of disease of the subject based on the comparison result, The diagnostic apparatus includes means for outputting a type of a disease including an affected neuropsychiatric disease. And the evoked potential by the stimulation of each of the predetermined sensations is a somatosensory evoked potential,
A diagnostic device that is any one of a visual evoked potential and an auditory evoked potential, or a combination of at least two of a somatosensory evoked potential, a visual evoked potential, and an auditory evoked potential. Means for processing using the wavelet function includes means for numerically integrating a composite product of the measured cerebral evoked potential waveforms and the wavelet function, and means for determining the wavelet value of each layer. Wherein the Wavelet function is a Harr Wavelet function.
【００１３】[0013]
【発明の実施の形態】以下、本発明の実施の形態を添付
図面に示す具体例に基づいて詳細に説明する。なお、以
下説明する実施の形態は本発明の実施の１例を示すもの
に過ぎず、本発明の実施には、本発明の範囲内において
行われる多様の実施が含まれることはいうまでもない。DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments of the present invention will be described below in detail with reference to specific examples shown in the accompanying drawings. It should be noted that the embodiment described below is merely an example of the embodiment of the present invention, and it goes without saying that the embodiment of the present invention includes various embodiments performed within the scope of the present invention. .
【００１４】本発明の大脳誘発電位診断装置は、各被験
者から、大脳誘発電位記録手段によってディジタル信号
として記録されたこれらの大脳誘発電位、即ち体性感覚
誘発電位、視覚性誘発電位および聴覚性誘発電位の波形
を、さらにHarr Wavelet関数を利用して判別関数により
信号処理し、当該被験者の大脳誘発電位により当該被験
者の疾患の有無、あるいは当該被験者の罹患している精
神神経科疾患を含む疾患の種類を、高い検出率で診断で
きる診断装置を提供するものである。本発明において上
記３種類の大脳誘発電位うち任意の１種類を又は２種類
の組合せを用いて診断することも可能である。しかし、
好ましくは上記３種類の組合せを用いることにより精度
の高い診断を行うことができる。The cerebral evoked potential diagnosing apparatus of the present invention provides the cerebral evoked potentials recorded as digital signals from each subject by the cerebral evoked potential recording means, ie, somatosensory evoked potentials, visual evoked potentials, and auditory evoked potentials. The waveform of the potential is further processed by a discriminant function using the Harr Wavelet function, and the presence or absence of the disease of the subject by the cerebral evoked potential of the subject, or the presence or absence of a disease including a neuropsychiatric disease of the subject. An object of the present invention is to provide a diagnostic device capable of diagnosing types with a high detection rate. In the present invention, it is also possible to make a diagnosis using any one of the above three types of cerebral evoked potentials or a combination of two types. But,
Preferably, a highly accurate diagnosis can be made by using the above three combinations.
【００１５】このように構成された本発明による診断装
置を図１、乃至図６に基づいて説明する。まず大脳誘発
電位として体性感覚誘発電位、視覚性誘発電位および聴
覚性誘発電位の３種類の誘発電位を測定する。The diagnostic apparatus according to the present invention thus constructed will be described with reference to FIGS. First, three types of evoked potentials are measured as cerebral evoked potentials: somatosensory evoked potential, visual evoked potential, and auditory evoked potential.
【００１６】体性感覚誘発電位の測定は、例えば、上肢
の正中神経を、感覚刺激手段である刺激電極１を介して
パルス電流で刺激し、その刺激への反応が神経を上行し
て大脳を刺激し大脳に誘発される電位を誘発電位測定手
段により測定することにより行う。正常者の波形には例
えば刺激から40msec以内に出現する短潜時ＳＥＰと40ms
ec以降に出現する中〜長潜時ＳＥＰとがある。患者の波
形はこれにその疾病特有の波形が重畳されて出力され
る。The somatosensory evoked potential is measured, for example, by stimulating the median nerve of the upper limb with a pulse current through a stimulation electrode 1 which is a sensory stimulating means, and the response to the stimulus ascends the nerve to the cerebrum. The stimulation is performed by measuring the potential induced in the cerebrum by the evoked potential measuring means. In the waveform of a normal person, for example, the short latency SEP appearing within 40 msec from the stimulation and 40 ms
There is a medium to long latency SEP appearing after ec. The waveform of the patient is superimposed on the waveform specific to the disease and output.
【００１７】視覚性誘発電位の測定は、目を感覚刺激手
段である光刺激装置２（フラッシュ・ライト、またはＬ
ＥＤ内蔵ゴーグルなど）で刺激し、その刺激への反応と
して大脳に誘発される電位を誘発電位測定手段により測
定する。約500msec 以内に反応波形が認められる。The measurement of the visual evoked potential is performed by using the light stimulator 2 (flash light or L
(E.g., goggles with built-in ED), and the potential induced in the cerebrum as a response to the stimulation is measured by an evoked potential measuring means. A reaction waveform is observed within about 500 msec.
【００１８】聴覚性誘発電位の測定は、例えば耳を感覚
刺激手段である音刺激装置３（スピーカーまたはイヤホ
ーン）を介してクリック、トーンバースト等の音刺激を
与えた時に、その刺激への反応として大脳に誘発される
電位を誘発電位測定手段により測定する。聴覚性誘発電
位は、潜時の短いものから長いものまで数多くの成分を
含んでいる。The measurement of the auditory evoked potential is, for example, when a sound stimulus such as a click or a tone burst is given to the ear via a sound stimulating device 3 (speaker or earphone) as a sensory stimulating means, as a response to the stimulus. The potential induced in the cerebrum is measured by an evoked potential measuring means. Auditory evoked potentials contain many components, from short to long latencies.
【００１９】これらの大脳誘発電位は、頭皮上の記録電
極４を介して記録される。記録電極４は例えば大脳皮質
の各感覚領域付近、頭頂部傍矢状線上、後頭部、頭頂な
ど測定される誘発電位の種類に応じて最適の場所に設置
される。必要な場合記録電極は複数箇所に設置される。These cerebral evoked potentials are recorded via recording electrodes 4 on the scalp. The recording electrode 4 is placed at an optimum location depending on the type of evoked potential measured, for example, near each sensory region of the cerebral cortex, on the parasagittal line of the parietal region, the occipital region, the parietal region. If necessary, the recording electrodes are installed at a plurality of locations.
【００２０】記録電極４は大脳誘発電位記録手段５と接
続されており大脳誘発電位は記録手段５に記録される。
大脳誘発電位記録手段５は記録されたこれらの大脳誘発
電位、即ち体性感覚誘発電位、視覚性誘発電位および聴
覚性誘発電位をディジタルデータに変換する。その後、
人体の内外からのノイズ、例えば背景脳波など刺激とは
因果関係のない電位変化を除くために、一般的には大脳
誘発電位記録手段５の中で、通常、約１００回の測定結
果を加算平均して、Signal／Noise 比の高いアベレージ
波形として記録する。一般には、誘発電位の方がノイズ
より振幅が小さいことが多く、刺激を与えた時間でトリ
ガーして記録された誘発電位の１００回程度の加算を必
要とする。The recording electrode 4 is connected to the cerebral evoked potential recording means 5, and the cerebral evoked potential is recorded in the recording means 5.
The cerebral evoked potential recording means 5 converts these recorded cerebral evoked potentials, that is, somatosensory evoked potentials, visual evoked potentials, and auditory evoked potentials, into digital data. afterwards,
Generally, in the cerebral evoked potential recording means 5, about 100 measurement results are averaged in order to remove noise from the inside and outside of the human body, for example, potential changes that are not related to stimulation such as background brain waves. Then, it is recorded as an average waveform having a high signal / noise ratio. Generally, the amplitude of the evoked potential is often smaller than that of the noise, and it is necessary to add about 100 times of the evoked potential recorded by triggering at the time of applying the stimulus.
【００２１】それぞれ加算平均化された上記３種類の誘
発電位は大脳誘発電位診断手段６に送られる。大脳誘発
電位診断手段６は、診断のための論理演算および数値計
算その他の処理を行うコンピュータ手段および演算およ
び計算結果などの記録手段（図示せず）、そして診断過
程および診断結果などを表示するＣＲＴ、プリンターを
具備する。The above three types of evoked potentials, each of which has been averaged, are sent to the cerebral evoked potential diagnostic means 6. The cerebral evoked potential diagnostic means 6 is a computer means for performing logical operations and numerical calculations and other processes for diagnosis and a recording means (not shown) for calculating and calculating results, and a CRT for displaying a diagnostic process and diagnostic results. , A printer.
【００２２】大脳誘発電位診断手段６による診断処理は
Wavelet関数、さらに望ましくはHarr Wavelet関数を用
いて次の手順で実施される。ここで、 Wavelet関数ψ
（ｘ）は、時間的、周波数的に局在した特有の基底関数
であり、一般的に図２ａのように表現される。即ち、平
均値が零で原点ｘ＝０のまわりにΔｘの幅で局在する関
数であり、そのフーリエ変換は、図２ｂに示すようにΩ
＝（ΩL ＋ΩH ）／２を中心にΔΩ＝ΩL −ΩH で局在
する関数である。また、以下の実施例に用いたHarr Wav
elet関数は図２ｃのように表現される関数である。The diagnostic processing by the cerebral evoked potential diagnostic means 6
The following procedure is performed using a Wavelet function, more preferably a Harr Wavelet function. Where the Wavelet function ψ
(X) is a specific basis function localized in time and frequency, and is generally expressed as shown in FIG. 2A. That is, it is a function whose average value is zero and is localized around the origin x = 0 with a width of Δx, and its Fourier transform is Ω as shown in FIG.
= (Ω L + Ω H ) / 2 is a function localized at ΔΩ = Ω L −Ω H. Also, Harr Wav used in the following examples
The elet function is a function expressed as shown in FIG. 2c.
【００２３】ここで、ここでψ（ｘ）について、実数ａ
とｂを用いて、下記 Wavelet基底関数ψab（ｘ）を定義
する。Here, for ψ (x), a real number a
The following Wavelet basis function ψ ab (x) is defined by using b and b.
【００２４】 ψab（ｘ）＝（１／｜ａ｜1/2 ）・ψ（（ｘ−ｂ）／ａ） (1) ここで、ａはψ（ｘ）を拡大・縮小するスケール係数で
あり、ｂは時間的な移動量を決定するシフト係数であ
る。そして、｜ａ｜1/2 は正規化のための係数である。Ψ ab (x) = (1 / | a | 1/2 ) · ψ ((x−b) / a) (1) where a is a scale coefficient for enlarging / reducing ψ (x). And b is a shift coefficient that determines the amount of temporal movement. | A | 1/2 is a coefficient for normalization.
【００２５】次に、誘発電位の測定結果である波形を示
す時間に関する信号ｆ（ｘ）と、 Wavelet基底関数ψab
（ｘ）の内積として、下記のように関数（Ｗψn ｆ）
（ｂ，ａ）を定義する。Next, a signal f (x) relating to time indicating a waveform as a measurement result of the evoked potential, and a wavelet basis function ψ ab
As the inner product of (x), as follows function (Wψ n f)
(B, a) is defined.
【００２６】[0026]
【数１】 (Equation 1)
【００２７】ここでψn は階数ｎの Wavelet関数であ
る。Here, ψ n is a Wavelet function of rank n.
【００２８】Harr Wavelet関数を用いて、単一正弦波の
時間周波数解析を行った結果を、図３に示す。図３ａは
Spline ｍ＝４の場合であり、図３ｂはSpline ｍ＝２
の場合である。ｊ＝−０は分析対象の単一正弦波であ
り、ｊ＝−１〜−５は各階層について得られた Wavelet
値である。FIG. 3 shows the result of time-frequency analysis of a single sine wave using the Harr Wavelet function. FIG. 3a
FIG. 3B shows a case where Spline m = 4 and Spline m = 2.
Is the case. j = -0 is a single sine wave to be analyzed, and j = -1 to -5 are Wavelet obtained for each layer.
Value.
【００２９】本発明は式(2) を用いて大脳誘発電位のう
ち体性感覚誘発電位、視覚性誘発電位および聴覚性誘発
電位のいずれかまたはこれらの組合わせにより波形分析
を行うものである。According to the present invention, waveform analysis is performed by using any one of the somatosensory evoked potential, the visual evoked potential, and the auditory evoked potential, or a combination thereof among the cerebral evoked potentials using the equation (2).
【００３０】本実施例では、特に、分析を容易にするた
めHarr Wavelet関数を用いて大脳誘発電位波形の波形分
析を行った。分析手順を以下に示す。In the present embodiment, in particular, in order to facilitate the analysis, the waveform analysis of the cerebral evoked potential waveform was performed using the Harr Wavelet function. The analysis procedure is shown below.
【００３１】図４は、Harr Wavelet関数を用いた大脳誘
発電位の波形分析のフローチャートである。このフロー
チャートのうち、各階数の Wavelet値の決定の部分のフ
ローチャートを図５に示す。各階数の Wavelet値の決定
は、 Wavelet関数により大脳誘発電位の波形ｆ（ｘ）を
固有値に分解することにより行う。FIG. 4 is a flowchart of the waveform analysis of the cerebral evoked potential using the Harr Wavelet function. FIG. 5 shows a flowchart of a part for determining the wavelet value of each floor in the flowchart. The determination of the wavelet value of each rank is performed by decomposing the waveform f (x) of the cerebral evoked potential into eigenvalues using the Wavelet function.
【００３２】まず、大脳誘発電位の各波形のデータ値ｆ
（ｘ）とHarr Wavelet関数｛Ｈn ｝との合成積を下記の
式 ｆ（ｘ）Ｈn （（ｘ−ｂ）／ａ） (3) を用いて数値積分する。その積分値を、各解像度での W
avelet値とする。各数値ａ，ｂ，ｘは、正の実数であ
り、これは、各階数でのHarr Wavelet関数による固有値
分解を与えている。この数値は、各解像度での誘発電位
波形を定量的に表すものである。解像度は例えば６〜１
４程度でも解析可能であるが、解析精度と解析時間の関
係から特に１０程度とするのが実際的である。本実施例
では、解像度を１０とした。この数値の組を、各波形の
Wavelet値という。したがって大脳誘発電位の各波形の
Wavelet値は１０個の数値の組である。First, the data value f of each waveform of the cerebral evoked potential
The composite product of (x) and the Harr Wavelet function {H n } is numerically integrated using the following equation f (x) H n ((x−b) / a) (3). The integral value is calculated as W at each resolution.
The avelet value. Each numerical value a, b, x is a positive real number, which gives the eigenvalue decomposition by the Harr Wavelet function at each rank. This numerical value quantitatively represents the evoked potential waveform at each resolution. Resolution is 6-1
Although it is possible to analyze even about four, it is practical to set it especially about ten from the relationship between the analysis accuracy and the analysis time. In this embodiment, the resolution is set to 10. This set of numbers is
Wavelet value. Therefore, each waveform of the cerebral evoked potential
The Wavelet value is a set of ten numerical values.
【００３３】次に Wavelet値の統計解析を行う。解析実
行に先だって、精神分裂病、躁鬱病、てんかん等の診断
すべき精神神経科疾患、および正常者のそれぞれのサン
プルの体性感覚誘発電位、視覚性誘発電位および聴覚性
誘発電位について、上記の計算処理をそれぞれ行い、上
記各疾患および正常者のサンプル標準値として１０階数
の Wavelet値をそれぞれ決定し記録しておく。Next, a statistical analysis of the wavelet value is performed. Prior to performing the analysis, the psychiatric disorders to be diagnosed, such as schizophrenia, manic depression, and epilepsy, and somatosensory evoked potentials, visual evoked potentials, and auditory evoked potentials in the respective samples of normal subjects are described above. Calculation processing is performed, and Wavelet values of 10 floors are determined and recorded as sample standard values of the above-mentioned respective diseases and normal persons.
【００３４】被験者から測定された各波形の１０個の数
値の組からなる Wavelet値を決定し記録し、精神分裂
病、躁鬱病、てんかん等の精神神経科疾患患者、および
正常被験者の誘発電位から求められた上記１０階数の W
avelet値と比較する。比較は、例えば、各解像度の Wav
elet値に対して、その個々の Wavelet値の差の２乗和を
指標として、平均値及び標準偏差を計算する統計処理に
より行う。統計処理は、精神分裂病、躁鬱病、てんかん
等、および正常者の各被験者群ごとに、その各解像度１
０組ごとの Wavelet値の平均、標準偏差を計算するもの
で、この処理により被験者群間での有意差を求める。A Wavelet value consisting of a set of 10 numerical values of each waveform measured from a subject is determined and recorded, and the wavelet value is determined from the evoked potentials of patients with psychiatric disorders such as schizophrenia, manic depression, epilepsy, and normal subjects. W of the 10 floors obtained above
Compare with avelet value. For comparison, for example, Wav of each resolution
For the elet value, the average value and the standard deviation are calculated using the sum of squares of the differences between the individual wavelet values as an index. Statistical processing was performed for each subject group of schizophrenia, manic depression, epilepsy, etc.
The average and standard deviation of the wavelet values for each set of 0 are calculated, and a significant difference between the subject groups is obtained by this processing.
【００３５】以上の統計解析により、各疾患群での Wav
elet値の分布を求める。According to the above statistical analysis, Wav in each disease group was
Find the distribution of elet values.
【００３６】次に、各被験者群における Wavelet値の分
布から、精神分裂病、躁鬱病、てんかん、正常者等の特
定（診断）を行う。特定の方法としては種々の方法が考
えられるが、例えば、図６に示すように各波形の各階数
の Wavelet値の分布から、各被験者群で、ｔ−検定によ
り、９５％の信頼区間に入るものの数が一番多いもの
を、その波形の疾患（または正常）と診断することによ
り行う。なお、この９５％の信頼区間は、あらかじめ標
準的な疾患群の患者、および正常被験者群のサンプルを
取り、各被験者群１０組の Wavelet値のそれぞれについ
て標本平均と標本分散を計算して作成しておく。Next, schizophrenia, manic depression, epilepsy, normal subjects, etc. are specified (diagnosed) from the distribution of Wavelet values in each subject group. Various methods can be considered as a specific method. For example, as shown in FIG. 6, from the distribution of the wavelet value of each rank of each waveform, a 95% confidence interval is obtained for each subject group by a t-test. The diagnosis is performed by diagnosing the object having the largest number as a disease (or normal) having the waveform. The 95% confidence interval was created by taking samples of patients in the standard disease group and normal subjects in advance and calculating the sample mean and sample variance for each of the 10 wavelet values in each subject group. Keep it.
【００３７】診断の一例を以下に述べる。例えばある被
験者の１０組の Wavelet値のうち、精神分裂病群に６組
が該当し、てんかん患者群に３組が該当し、正常群に１
組が該当するという場合には、この被験者は精神分裂病
群に該当すると診断する。もし該当数が同数の場合に
は、各１０組の Wavelet値と、各疾患群の標準から、先
に計算しておいた標本平均値との差の２乗和の差の小さ
い方をその被験者の診断とする。An example of the diagnosis will be described below. For example, out of 10 Wavelet values of a subject, 6 correspond to the schizophrenia group, 3 correspond to the epilepsy patient group, and 1 correspond to the normal group.
If the set falls, the subject is diagnosed as falling into the schizophrenia group. If the number of hits is the same, the subject with the difference of the sum of squares of the difference between the wavelet value of each of the 10 sets and the sample mean value previously calculated from the standard of each disease group is used as the subject. Diagnosis.
【００３８】当該被験者の大脳誘発電位についての上記
診断の結果をＣＲＴ上に表示しさらにプリンターにより
印字する。The result of the above-mentioned diagnosis on the cerebral evoked potential of the subject is displayed on a CRT and printed by a printer.
【００３９】以上の方法による診断を正常者（男性１０
０人、女性１００人）、精神分裂病の患者（男性１００
人、女性８１人）、躁鬱病の患者（男性２０人、女性２
０人）、およびてんかんの患者（男性９９人、女性６５
人）について実施した結果、下記の検出率が得られた。The diagnosis by the above-mentioned method is performed for a normal person (male 10
0, 100 women), Schizophrenic patients (100 men)
People, 81 women), patients with manic depression (20 men, 2 women)
0) and epilepsy patients (99 men, 65 women)
As a result, the following detection rates were obtained.
【００４０】 正常者 精神分裂病 躁鬱病 てんかん 男子 ８８％ ８４％ ７５％ ８６％ 女子 ８６％ ８４％ ８０％ ８７％ この検出率は大脳誘発電位の測定結果からのみ得られる
検出率としては極めて高い検出率であり、上記診断方法
が精神分裂病、躁鬱病、およびてんかんの診断方法とし
て臨床的に十分利用できる値であることを示している。Normal person Schizophrenia Manic depression Epilepsy Male 88% 84% 75% 86% Female 86% 84% 80% 87% This detection rate is extremely high as a detection rate obtained only from the measurement result of the cerebral evoked potential. Rate, indicating that the above diagnostic method is a clinically useful value as a diagnostic method for schizophrenia, manic depression, and epilepsy.
【００４１】以上、大脳誘発電位の波形をWavelet 解析
を利用した信号処理により、被験者の疾患の有無、ある
いは被験者の罹患している精神神経科疾患を含む疾患の
種類を検出（診断）する実施の態様について説明した
が、ここに記載された本発明の実施の態様は単なる例示
であり、本発明の技術的範囲を逸脱せずに、種々の変形
が可能であることはいうまでもない。As described above, the waveform of the cerebral evoked potential is subjected to signal processing using Wavelet analysis to detect (diagnose) the presence or absence of the subject's disease or the type of disease including the neuropsychiatric disease in which the subject is affected. Although the embodiments have been described, the embodiments of the present invention described herein are merely examples, and it is needless to say that various modifications can be made without departing from the technical scope of the present invention.
【００４２】[0042]
【発明の効果】本発明により、高い検出率で、当該被験
者について精神神経科疾患を含む疾患の有無、あるい
は、当該被験者の罹患している疾患の種類を診断するこ
とが、初めて可能となった。According to the present invention, it has become possible for the first time to diagnose, with a high detection rate, the presence or absence of a disease including a psychiatric disorder, or the type of disease that the subject has. .
【００４３】従来の各医師による大脳誘発電位の波形の
目視による診断に比較して、医師間の判断の個人差を少
なくすると共に、判断の確度を著しく高めることできる
などの効果が得られる。Compared with the conventional visual diagnosis of the cerebral evoked potential waveform by each doctor, there are obtained such effects that individual differences in judgment between doctors can be reduced and the accuracy of the judgment can be significantly increased.
【図１】本発明の実施例の大脳誘発電位診断装置を示す
ブロック図。FIG. 1 is a block diagram showing a cerebral evoked potential diagnostic device according to an embodiment of the present invention.
【図２】Wavelet 関数およびHarr Wavelet関数を示す図FIG. 2 is a diagram showing a Wavelet function and a Harr Wavelet function.
【図３】Wavelet 関数による単一正弦波の解析例Fig. 3 Analysis example of single sine wave by Wavelet function
【図４】本発明の大脳誘発電位診断装置による診断処理
のフローチャート図FIG. 4 is a flowchart of a diagnostic process performed by the cerebral evoked potential diagnostic device of the present invention.
【図５】Wavelet値の計算のフローチャート図FIG. 5 is a flowchart for calculating a Wavelet value.
【図６】Wavelet値による判別のフローチャート図FIG. 6 is a flowchart of determination based on a Wavelet value.
１…刺激電極 ２…光刺激装置 ３…音刺激装置 ４…記録電極 ５…大脳誘発電位記録手段 ６…大脳誘発電位診断手段 DESCRIPTION OF SYMBOLS 1 ... Stimulation electrode 2 ... Light stimulator 3 ... Sound stimulator 4 ... Recording electrode 5 ... Cerebral evoked potential recording means 6 ... Cerebral evoked potential diagnostic means
Claims (4)
神経科疾患を含む所定の各疾患を罹患する患者群、およ
び正常被験者群の示す所定の各感覚に対する各大脳誘発
電位の波形についてWavelet 関数を用いて処理した第１
の処理値を記録する記録手段と、 被験者の所定の各感覚を刺激する手段と、 前記刺激により誘発された各大脳誘発電位を測定する手
段と、 前記測定された各大脳誘発電位の波形をWavelet 関数を
用いて処理しその結果得られた第２の処理値を記録する
手段と、 前記第１の処理値と対応する前記第２の処理値とを比較
する手段と、 前記比較結果に基づき当該被験者の疾患の有無あるいは
当該被験者の罹患している精神神経科疾患を含む疾患の
種類を出力する手段を具備することを特徴とする診断装
置。1. A Wavelet function for the waveform of each cerebral evoked potential for each predetermined sensation shown by a group of patients suffering from various psychiatric disorders including schizophrenia, manic depression, and epilepsy, and a group of normal subjects. The first processed using
Recording means for recording the processing value of the above, means for stimulating each predetermined sensation of the subject, means for measuring each cerebral evoked potential induced by the stimulus, Wavelet the waveform of each measured cerebral evoked potential Means for processing using a function, and recording a second processing value obtained as a result; means for comparing the first processing value with the corresponding second processing value; A diagnostic apparatus comprising: means for outputting the presence or absence of a disease of a subject or the type of a disease including a neuropsychiatric disease affected by the subject.
電位は、体性感覚誘発電位、視覚性誘発電位および聴覚
性誘発電位のいずれか、または体性感覚誘発電位、視覚
性誘発電位および聴覚性誘発電位のうち少なくとも２つ
の組み合わせである請求項１記載の診断装置。2. The cerebral evoked potential due to the stimulation of each of the predetermined sensations is one of a somatosensory evoked potential, a visual evoked potential and an auditory evoked potential, or a somatosensory evoked potential, a visual evoked potential and an auditory auditory potential. The diagnostic device according to claim 1, wherein the diagnostic device is a combination of at least two of the sex evoked potentials.
数を用いて処理する手段は、測定された各大脳誘発電位
の波形とWavelet 関数との合成積を数値積分する手段と
各階層のWavelet 値を決定する手段を含むことを特徴と
する請求項１または請求項２に記載の診断装置。3. The means for processing the waveform of each cerebral evoked potential using a Wavelet function includes means for numerically integrating a composite product of the measured waveform of each cerebral evoked potential and the Wavelet function, and a Wavelet value of each hierarchy. The diagnostic device according to claim 1 or 2, further comprising means for determining
あることを特徴とする請求項１乃至請求項３のいずれか
１項に記載の診断装置。4. The diagnostic apparatus according to claim 1, wherein the Wavelet function is a Harr Wavelet function.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP9248975A JPH1176185A (en) | 1997-09-12 | 1997-09-12 | Cerebral induced electric potential diagnosing device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP9248975A JPH1176185A (en) | 1997-09-12 | 1997-09-12 | Cerebral induced electric potential diagnosing device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH1176185A true JPH1176185A (en) | 1999-03-23 |
Family
ID=17186178
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP9248975A Pending JPH1176185A (en) | 1997-09-12 | 1997-09-12 | Cerebral induced electric potential diagnosing device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH1176185A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001309898A (en) * | 2000-04-28 | 2001-11-06 | Takumi Ikuta | Method of neural waveform diagnosis with wavelet function and its equipment |
| JP2009518076A (en) * | 2005-12-01 | 2009-05-07 | レキシコル メディカル テクノロジー エルエルシー | System and method for analyzing and evaluating depression and other mood disorders using electroencephalogram (EEG) measurements |
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| CN112515687A (en) * | 2020-12-03 | 2021-03-19 | 中国科学院深圳先进技术研究院 | Method for measuring mental disease index and related product |
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| US11963775B2 (en) | 2017-03-22 | 2024-04-23 | Safeop Surgical, Inc. | Medical systems and methods for detecting changes in electrophysiological evoked potentials |
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-
1997
- 1997-09-12 JP JP9248975A patent/JPH1176185A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001309898A (en) * | 2000-04-28 | 2001-11-06 | Takumi Ikuta | Method of neural waveform diagnosis with wavelet function and its equipment |
| JP2009518076A (en) * | 2005-12-01 | 2009-05-07 | レキシコル メディカル テクノロジー エルエルシー | System and method for analyzing and evaluating depression and other mood disorders using electroencephalogram (EEG) measurements |
| JP2012529344A (en) * | 2009-06-09 | 2012-11-22 | セーフオーピー サージカル インコーポレイテッド | System, method, apparatus, device and computer program product for automatically detecting the influence of positioning |
| US10342443B2 (en) | 2009-06-09 | 2019-07-09 | Safeop Surgical, Inc. | System, method, apparatus, device and computer program product for automatically detecting positioning effect |
| US10073280B2 (en) | 2012-05-30 | 2018-09-11 | Tokai Optical Co., Ltd. | Method for assessing spectacle lens by evoked activity in visual cortex of brain or the like, and method for designing spectacle lens using said method for assessment |
| US11963784B2 (en) | 2013-11-07 | 2024-04-23 | Safeop Surgical, Inc. | Systems and methods for detecting nerve function |
| US11986321B2 (en) | 2016-09-22 | 2024-05-21 | Safeop Surgical, Inc. | System and method for detecting and removing periodic non-physiological artifact from evoked potentials |
| US11963775B2 (en) | 2017-03-22 | 2024-04-23 | Safeop Surgical, Inc. | Medical systems and methods for detecting changes in electrophysiological evoked potentials |
| CN112515687A (en) * | 2020-12-03 | 2021-03-19 | 中国科学院深圳先进技术研究院 | Method for measuring mental disease index and related product |
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