JP4224935B2 - Sleep state determination method - Google Patents
Sleep state determination method Download PDFInfo
- Publication number
- JP4224935B2 JP4224935B2 JP2000271456A JP2000271456A JP4224935B2 JP 4224935 B2 JP4224935 B2 JP 4224935B2 JP 2000271456 A JP2000271456 A JP 2000271456A JP 2000271456 A JP2000271456 A JP 2000271456A JP 4224935 B2 JP4224935 B2 JP 4224935B2
- Authority
- JP
- Japan
- Prior art keywords
- sleep
- determination method
- sleep state
- state determination
- envelope
- 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.)
- Expired - Fee Related
Links
Images
Landscapes
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Description
【0001】
【発明の属する技術分野】
本発明は、生体から計測された脈波に基づいて生体の睡眠状態を判定する睡眠状態判定方法に関する。
【0002】
【従来の技術】
従来より、人間の睡眠状態(眠りの深さ)は、脳波をはじめ眼球運動、筋電、心電などの生体信号を同時に測定する睡眠ポリグラフィーにて判定することができる。しかし、睡眠ポリグラフィーによる測定は装置が大掛かりなため、入院が必要となる。しかも、頭部および顔面等にセンサーを装着する必要があるため、装着感が悪く、センサーを付けることによって睡眠が妨げられ、正確な検査ができないといった問題があった。
そこで、睡眠ポリグラフィーに代わる手段として、睡眠中の呼吸数や脈拍数に着目し、その変化から睡眠状態を判定する方法が提案されている(特開平3−41926号公報参照)。
【0003】
【発明が解決しようとする課題】
ところが、睡眠中の呼吸数や脈拍数から睡眠状態を検出する方法では、心電図のRR間隔に相当する脈拍間隔を求め、その脈拍間隔の変動(揺らぎ)から睡眠状態(レム睡眠とノンレム睡眠)を判定している。この場合、脈拍間隔を求めるためには、1拍毎の脈波のピーク(トップまたはボトム)を正確に検出する必要がある。しかし、脈波が安定している時には比較的正確に脈波のピークを検出することができるが、睡眠時の体動等によって脈波が乱れると、脈波のピークは血流以外の要因でずれが生じるため、脈波のピークを誤検出する可能性がある。
このため、正確な脈拍間隔を求めるためには複雑な計算処理が必要となり、簡便に睡眠状態を判定することが困難であった。
【0004】
また、健康な人間の場合は、レム睡眠とノンレム睡眠に伴う脈拍間隔の揺らぎが生じるが、健康を害している人間や老人の場合は、脈拍間隔の揺らぎが小さくなるため、レム睡眠とノンレム睡眠を判定することが困難である。
本発明は、上記事情に基づいて成されたもので、その目的は、脈拍間隔の変動による判定方法に比べて計算処理が容易であり、且つ体動等に伴うノイズの影響を受け難く、より正確に睡眠状態(レム睡眠とノンレム睡眠)を判定できる睡眠状態判定方法を提供することにある。
【0006】
【課題を解決するための手段】
(請求項1の手段)
本発明の睡眠状態判定方法は、生体から計測された脈波の1拍毎の高さを波高として求め、その波高の変動状態が略一定な時をノンレム睡眠とし、波高の変動状態が揺らいでいる時をレム睡眠として判定することを特徴とする。この判定方法では、脈波の頂点または底点の抽出が多少不正確になっても、波高の変動状態が大きく変化することはないので、従来の脈拍間隔の変動から睡眠状態を判定する方法と比較して計算処理が圧倒的に簡素であり、簡便に睡眠状態を判定することができる。
【0009】
(請求項2の手段)
請求項1に記載した睡眠状態判定方法において、
波高の変動状態を示す指標を統計処理によって求める。
【0011】
(請求項3の手段)
請求項2に記載した睡眠状態判定方法において、
一定時間に計測される各データの平均値、最大値、最小値、分散値、偏差の少なくとも1つを前記指標として求める。
【0012】
(請求項4の手段)
請求項1〜3に記載した何れかの睡眠状態判定方法において、
人間の手首または前腕部で計測された脈波から波高を作成する。
【0013】
【発明の実施の形態】
次に、本発明の実施形態を図面に基づいて説明する。
(第1実施例)
図1は脈波の計測データである。
本実施例の睡眠状態判定方法は、生体(人間)から計測された脈波の包絡線、波高、基線の何れか1つまたは2つ以上を作成し、その包絡線、波高、基線の変動状態が略一定な時をノンレム睡眠とし、包絡線、波高、基線の変動状態が揺らいでいる時をレム睡眠として判定するものである。なお、図1に示す様に、包絡線とは、脈波の1拍毎の頂点または底点を結んだ線であり、波高とは、個々の脈波の高さであり、基線とは、波高の中心を結んだ線を言う。
この睡眠状態の判定は、CPU(マイクロプロセッサ)を内蔵する睡眠状態判定装置1(図2参照)によって行われる。
【0014】
以下に、睡眠状態を判定する睡眠状態判定装置1の処理手順を図3に示すフローチャートに基づいて説明する。
Step10…睡眠中に脈波センサ2で検出された脈波情報(電気信号)から脈波を計測する(図1参照)。なお、脈波センサ2は、例えば図2に示す様に、発光素子2aと受光素子2bを有する周知の光学式、あるいは超音波式、ドップラー式、圧力式等でも良い。この脈波センサ2は、人間の手首または指等に装着され、検出した脈波を電気信号(例えば電圧信号)に変換して睡眠状態判定装置1へ出力している。
【0015】
Step20…Step10で計測した脈波データをデジタルフィルタに通して不要な周波数成分をカットする。
Step30…脈波データから1拍毎のピークを検出する。
Step40…包絡線、波高、基線の何れか1つまたは2つ以上を作成する。ここでは、包絡線を作成する場合について説明する。包絡線は、上記の様に、計測された脈波の1拍毎のピークを結んで作成される。なお、脈波の頂点同士を結んで作成される包絡線Aと、脈波の底点同士を結んで作成される包絡線Bの何方か一方を使用すれば良い。
【0016】
Step50…包絡線の変動状態を検出する。ここでは、一定時間(例えば20秒間)における包絡線の平均値、最大値、最小値、分散値、偏差等、統計処理によって求められる少なくとも1つを指標とし、その値の変動を検出する。
Step60…包絡線の変動状態から睡眠状態を判定する。ここでは、Step50の統計処理によって求めた指標の変動がある範囲内(例えば25%以内の変動)の場合はノンレム睡眠とし、それ以上の場合はレム睡眠として判定する。
Step70…Step60で判定した睡眠状態を表示する。
【0017】
(本実施例の作用及び効果)
睡眠中に計測した脈波の包絡線、波高、基線の変動状態と、脈拍間隔の変動状態とを照らし合わせると、図4に示す様に、包絡線、波高、基線の変動状態が略一定の時は、脈拍間隔の変動状態も略一定となる。しかし、図5に示す様に、包絡線、波高、基線の変動状態が揺らいでいる時は、脈拍間隔の変動状態も揺らいでいることが分かる。
脈拍間隔の変動状態が略一定な時はノンレム睡眠であり、脈拍間隔の変動状態が揺らいでいる時はレム睡眠であることは既に知られている。
従って、図4及び図5に示した様に、包絡線、波高、基線の変動状態と脈拍間隔の変動状態とに相関があることから、包絡線、波高、基線の変動状態によって睡眠状態(レム睡眠とノンレム睡眠)を判定することができる。
【0018】
実際に、レム睡眠時とノンレム睡眠時とで包絡線データを比較すると、図6に示す様に、レム睡眠時の方がノンレム睡眠時より包絡線の変動状態が大きいことが分かる。この包絡線データから20秒ずつの標準偏差を求めると、ノンレム睡眠時には、0〜20秒で0.15、20〜40秒で0.16、40〜60秒で0.16と殆ど変化していない。しかし、レム睡眠時には、0〜20秒で0.16、20〜40秒で0.09、40〜60秒で0.10と大きく低下し、60〜80秒で0.15とまた上昇している。即ち、標準偏差が大幅に変化している(揺らいでいる)。従って、包絡線の変動状態が略一定の時(統計処理によって求めた指標の変動がある範囲内の場合)はノンレム睡眠と判定し、包絡線の変動状態が揺らいでいる時(統計処理によって求めた指標の変動がある範囲を超えている場合)はレム睡眠と判定するができる。
【0019】
本実施例の判定方法によれば、計測された脈波の頂点または底点の抽出が多少不正確になっても、それによって包絡線の変動状態が大きく変化することはないので、従来の脈拍間隔の変動から睡眠状態を判定する方法と比較して計算処理が圧倒的に簡素であり、簡便に睡眠状態を判定することができる。
また、この判定方法では、正確な脈拍間隔を必要としないので、時間軸の測定精度があまり要求されないため、外乱に強く、極めて良好なS/N比を得ることができる。
更に、包絡線、波高、基線は呼吸状態を表していることから、本実施例の判定方法を睡眠時無呼吸症等の診断に応用することもできる。
【0020】
なお、図3は、包絡線の変動状態によって睡眠状態を判定するフローチャートであるが、図7及び図8に示す様に、波高及び基線の場合でも同様の処理手順で睡眠状態を判定することができる。
【図面の簡単な説明】
【図1】脈波の計測データである。
【図2】脈波センサの装着状態を示す断面図である。
【図3】睡眠状態判定装置の処理手順を示すフローチャートである。
【図4】包絡線、波高、基線の変動状態と脈拍間隔の変動状態を表すグラフである(変動状態が略一定の時)。
【図5】包絡線、波高、基線の変動状態と脈拍間隔の変動状態を表すグラフである(変動状態が揺らいでいる時)。
【図6】レム睡眠時とノンレム睡眠時の包絡線データを表すグラフである。
【図7】睡眠状態判定装置の処理手順を示すフローチャートである。
【図8】睡眠状態判定装置の処理手順を示すフローチャートである。
【符号の説明】
1 睡眠状態判定装置
2 脈波センサ
A 包絡線
B 包絡線[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a sleep state determination method for determining a sleep state of a living body based on a pulse wave measured from the living body.
[0002]
[Prior art]
Conventionally, a human sleep state (sleeping depth) can be determined by polysomnography which simultaneously measures biological signals such as electroencephalogram, eye movement, myoelectricity, and electrocardiogram. However, measurement by polysomnography requires a large amount of equipment and requires hospitalization. In addition, since it is necessary to wear sensors on the head and face, there is a problem that the wearing feeling is bad, sleep is hindered by attaching the sensors, and accurate inspection cannot be performed.
In view of this, as a means for replacing sleep polygraphy, a method has been proposed in which the sleep state is determined based on changes in the respiratory rate and pulse rate during sleep (see JP-A-3-41926).
[0003]
[Problems to be solved by the invention]
However, in the method of detecting the sleep state from the respiratory rate and pulse rate during sleep, the pulse interval corresponding to the RR interval of the electrocardiogram is obtained, and the sleep state (REM sleep and non-REM sleep) is determined from the fluctuation (fluctuation) of the pulse interval. Judgment. In this case, in order to obtain the pulse interval, it is necessary to accurately detect the peak (top or bottom) of the pulse wave for each beat. However, when the pulse wave is stable, the peak of the pulse wave can be detected relatively accurately.However, if the pulse wave is disturbed due to body movements during sleep, the peak of the pulse wave is caused by factors other than blood flow. Since the deviation occurs, the peak of the pulse wave may be erroneously detected.
For this reason, in order to obtain | require an exact pulse interval, complicated calculation processing was required and it was difficult to determine a sleep state simply.
[0004]
In addition, fluctuations in the pulse interval associated with REM sleep and non-REM sleep occur in healthy humans, but fluctuations in the pulse interval are reduced in humans and elderly people who are detrimental to health, so REM sleep and non-REM sleep Is difficult to determine.
The present invention has been made based on the above circumstances, and its purpose is easier to calculate than the determination method based on fluctuations in pulse interval, and is less susceptible to noise associated with body movement, etc. It is in providing the sleep state determination method which can determine a sleep state (REM sleep and non-REM sleep) correctly.
[0006]
[Means for Solving the Problems]
(Means of Claim 1 )
In the sleep state determination method of the present invention, the height of each beat of the pulse wave measured from a living body is obtained as the wave height. It is characterized in that it is determined as REM sleep. In this determination method, even if the extraction of the peak or bottom of the pulse wave becomes somewhat inaccurate, the fluctuation state of the wave height does not change greatly, so the sleep state is determined from the fluctuation of the conventional pulse interval. In comparison, the calculation process is overwhelmingly simple, and the sleep state can be easily determined.
[0009]
(Means of Claim 2 )
In the sleep state determination method according to
An index indicating the fluctuation state of the wave height is obtained by statistical processing.
[0011]
(Means of claim 3 )
In the sleep state determination method according to
At least one of an average value, a maximum value, a minimum value, a variance value, and a deviation of each data measured in a certain time is obtained as the index.
[0012]
(Means of claim 4 )
The sleep state determination method according to any one of
Creating a pulse wave or al height measured in human wrist or forearm.
[0013]
DETAILED DESCRIPTION OF THE INVENTION
Next, embodiments of the present invention will be described with reference to the drawings.
(First embodiment)
FIG. 1 shows pulse wave measurement data.
The sleep state determination method of the present embodiment creates one or more of an envelope, wave height, and baseline of a pulse wave measured from a living body (human), and changes the envelope, wave height, and baseline. Is determined as non-REM sleep, and when the fluctuation of the envelope, wave height, and baseline is fluctuating, it is determined as REM sleep. As shown in FIG. 1, the envelope is a line connecting the vertices or bottom points of each beat of the pulse wave, the wave height is the height of each individual pulse wave, and the baseline is Says a line connecting the centers of wave heights.
This sleep state determination is performed by a sleep state determination device 1 (see FIG. 2) incorporating a CPU (microprocessor).
[0014]
Below, the process sequence of the sleep
[0015]
Step20… The pulse wave data measured in Step10 is passed through a digital filter to cut unnecessary frequency components.
Step30 ... A peak for each beat is detected from the pulse wave data.
Step40 ... Create one or more of envelope, wave height, baseline. Here, a case where an envelope is created will be described. As described above, the envelope is created by connecting the peaks of the measured pulse waves for each beat. One of the envelope A created by connecting the vertices of the pulse wave and the envelope B created by connecting the bottoms of the pulse wave may be used.
[0016]
Step 50: Detect the fluctuation state of the envelope. Here, at least one obtained by statistical processing such as an average value, a maximum value, a minimum value, a variance value, and a deviation of an envelope over a fixed time (for example, 20 seconds) is used as an index, and a change in the value is detected.
Step 60: The sleep state is determined from the fluctuation state of the envelope. Here, when the variation of the index obtained by the statistical processing of
Step70 ... Displays the sleep state determined in Step60.
[0017]
(Operation and effect of this embodiment)
When comparing the fluctuation state of the pulse wave envelope, wave height, and baseline measured during sleep with the fluctuation state of the pulse interval, the fluctuation state of the envelope, wave height, and baseline is substantially constant as shown in FIG. At times, the fluctuation state of the pulse interval is also substantially constant. However, as shown in FIG. 5, when the fluctuation state of the envelope, the wave height, and the baseline is fluctuating, it can be seen that the fluctuation state of the pulse interval is also fluctuating.
It is already known that when the fluctuation state of the pulse interval is substantially constant, it is non-REM sleep, and when the fluctuation state of the pulse interval is fluctuating, it is REM sleep.
Therefore, as shown in FIG. 4 and FIG. 5, since there is a correlation between the fluctuation state of the envelope, wave height, and baseline and the fluctuation state of the pulse interval, the sleep state (REM) depends on the fluctuation state of the envelope, wave height, and baseline. Sleep and non-REM sleep).
[0018]
Actually, when the envelope data is compared between REM sleep and non-REM sleep, as shown in FIG. 6, it can be seen that the variation state of the envelope is larger during REM sleep than during non-REM sleep. When the standard deviation for each 20 seconds is obtained from the envelope data, during non-REM sleep, 0.15 at 0 to 20 seconds, 0.16 at 20 to 40 seconds, and 0.16 at 40 to 60 seconds are almost changed. Absent. However, during REM sleep, 0.16 at 0-20 seconds, 0.09 at 20-40 seconds, 0.10 at 40-60 seconds, and 0.15 at 60-80 seconds. Yes. That is, the standard deviation has changed significantly (fluctuated). Therefore, when the fluctuation state of the envelope is substantially constant (when the fluctuation of the index obtained by statistical processing is within a range), it is determined as non-REM sleep, and when the fluctuation state of the envelope is fluctuating (obtained by statistical processing) If the fluctuation of the index exceeds a certain range), it can be determined as REM sleep.
[0019]
According to the determination method of the present embodiment, even if the extraction of the peak or bottom of the measured pulse wave becomes somewhat inaccurate, the fluctuation state of the envelope does not change greatly, so that the conventional pulse Computation processing is overwhelmingly simple compared with the method of determining a sleep state from the fluctuation | variation of an interval, and can determine a sleep state easily.
In addition, since this determination method does not require an accurate pulse interval, measurement accuracy on the time axis is not so required, so that it is resistant to disturbances and an extremely good S / N ratio can be obtained.
Furthermore, since the envelope, wave height, and baseline represent the respiratory state, the determination method of this embodiment can also be applied to the diagnosis of sleep apnea and the like.
[0020]
FIG. 3 is a flowchart for determining the sleep state based on the fluctuation state of the envelope. However, as shown in FIGS. 7 and 8, the sleep state can be determined by the same processing procedure even in the case of the wave height and the baseline. it can.
[Brief description of the drawings]
FIG. 1 shows pulse wave measurement data.
FIG. 2 is a cross-sectional view showing a mounted state of a pulse wave sensor.
FIG. 3 is a flowchart showing a processing procedure of a sleep state determination apparatus.
FIG. 4 is a graph showing a fluctuation state of an envelope, a wave height, a baseline, and a fluctuation state of a pulse interval (when the fluctuation state is substantially constant).
FIG. 5 is a graph showing a fluctuation state of an envelope, a wave height, a baseline, and a fluctuation state of a pulse interval (when the fluctuation state fluctuates).
FIG. 6 is a graph showing envelope data during REM sleep and non-REM sleep.
FIG. 7 is a flowchart showing a processing procedure of the sleep state determination apparatus.
FIG. 8 is a flowchart showing a processing procedure of the sleep state determination apparatus.
[Explanation of symbols]
DESCRIPTION OF
Claims (4)
前記波高の変動状態を示す指標を統計処理によって求めることを特徴とする睡眠状態判定方法。In the sleep state determination method according to claim 1 ,
The sleep state determination method characterized by calculating | requiring the parameter | index which shows the fluctuation state of the said wave height by statistical processing.
一定時間に計測される各データの平均値、最大値、最小値、分散値、偏差の少なくとも1つを前記指標として求めることを特徴とする睡眠状態判定方法。In the sleep state determination method according to claim 2 ,
A sleep state determination method, wherein at least one of an average value, a maximum value, a minimum value, a variance value, and a deviation of each data measured in a certain time is obtained as the index.
人間の手首または前腕部で計測された脈波から前記波高を作成することを特徴とする睡眠状態判定方法。 The sleep state determination method according to any one of claims 1 to 3 ,
Sleeping state determination method characterized by creating a pulse wave or al the wave height measured by the human wrist or forearm.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2000271456A JP4224935B2 (en) | 2000-09-07 | 2000-09-07 | Sleep state determination method |
US09/935,678 US6856829B2 (en) | 2000-09-07 | 2001-08-24 | Method for detecting physiological condition of sleeping patient based on analysis of pulse waves |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2000271456A JP4224935B2 (en) | 2000-09-07 | 2000-09-07 | Sleep state determination method |
Publications (2)
Publication Number | Publication Date |
---|---|
JP2002078690A JP2002078690A (en) | 2002-03-19 |
JP4224935B2 true JP4224935B2 (en) | 2009-02-18 |
Family
ID=18757740
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2000271456A Expired - Fee Related JP4224935B2 (en) | 2000-09-07 | 2000-09-07 | Sleep state determination method |
Country Status (1)
Country | Link |
---|---|
JP (1) | JP4224935B2 (en) |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100571811B1 (en) * | 2003-05-09 | 2006-04-17 | 삼성전자주식회사 | Ear type measurement apparatus for bio signal |
JP4581480B2 (en) * | 2004-05-21 | 2010-11-17 | ソニー株式会社 | Respiratory information measuring method and apparatus |
JP4636860B2 (en) * | 2004-11-25 | 2011-02-23 | 株式会社デルタツーリング | Evaluation system for human body support structure |
JP4636861B2 (en) * | 2004-11-25 | 2011-02-23 | 株式会社デルタツーリング | Comfort evaluation device |
KR101962812B1 (en) * | 2017-10-13 | 2019-03-28 | 아주대학교산학협력단 | Method and apparatus for detecting REM sleep based on PPG |
CN108143406A (en) * | 2018-02-12 | 2018-06-12 | 宜春学院 | A kind of Portable human health detector |
JP6723622B1 (en) * | 2019-08-01 | 2020-07-15 | エーエムイー株式会社 | Apnea state detection device, apnea state avoidance system, apnea state detection method and apnea state detection device operating method |
JP7088153B2 (en) * | 2019-09-19 | 2022-06-21 | カシオ計算機株式会社 | CAP (Periodic EEG Activity) Detection Device, CAP (Periodic EEG Activity) Detection Method and Program |
JPWO2021124749A1 (en) * | 2019-12-19 | 2021-06-24 |
-
2000
- 2000-09-07 JP JP2000271456A patent/JP4224935B2/en not_active Expired - Fee Related
Also Published As
Publication number | Publication date |
---|---|
JP2002078690A (en) | 2002-03-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP7303854B2 (en) | Evaluation device | |
US6856829B2 (en) | Method for detecting physiological condition of sleeping patient based on analysis of pulse waves | |
EP3334337B1 (en) | Monitoring of sleep phenomena | |
US6450957B1 (en) | Respiratory disease monitoring system | |
JP4469746B2 (en) | Heart rate measuring device and method of operating heart rate measuring device | |
US10729332B2 (en) | Apparatus, system, and method for monitoring physiological signs | |
EP3174458B1 (en) | Method and system for monitoring stress | |
US8177720B2 (en) | Apparatus for detecting vital functions, control unit and pulse wave sensor | |
JP4645259B2 (en) | Blood pressure measurement device | |
JP5070701B2 (en) | Method and apparatus for analyzing respiratory signal obtained by changing load of test subject applied to bedding | |
US20070083125A1 (en) | Apparatus and method of measuring biological information | |
WO2005082252A1 (en) | Method for judging stage of sleep | |
JP2008006005A (en) | Biological information measurement instrument, method and program | |
US20210282668A1 (en) | Non-invasive determination of airway resistance | |
WO2016018906A1 (en) | Method and apparatus for assessing respiratory distress | |
JP4224935B2 (en) | Sleep state determination method | |
KR101019764B1 (en) | Method for detecting heart beat based on ppg | |
KR101276973B1 (en) | Pulse frequency measurement method and apparatus | |
JP2000102515A (en) | Physical condition detector | |
JP4731031B2 (en) | Sleep analysis device, program, and recording medium | |
JP2018033795A (en) | Depressive state determination method and depressive state determination device | |
JP7180776B2 (en) | Provision of temporal information of the subject | |
JP6474299B2 (en) | Pulse wave measuring device | |
JP2007151979A (en) | Subject's health condition monitoring device | |
JP2019136526A (en) | Sleeping state determination device and sleeping state determination method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20060921 |
|
A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20080623 |
|
A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20080701 |
|
A521 | Written amendment |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20080808 |
|
TRDD | Decision of grant or rejection written | ||
A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20081104 |
|
A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 |
|
A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20081117 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20111205 Year of fee payment: 3 |
|
R150 | Certificate of patent or registration of utility model |
Free format text: JAPANESE INTERMEDIATE CODE: R150 Ref document number: 4224935 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20121205 Year of fee payment: 4 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20131205 Year of fee payment: 5 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
LAPS | Cancellation because of no payment of annual fees |