TW201143715A - Sleeping efficiency analyzer and analyzing method thereof - Google Patents

Sleeping efficiency analyzer and analyzing method thereof Download PDF

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TW201143715A
TW201143715A TW99118905A TW99118905A TW201143715A TW 201143715 A TW201143715 A TW 201143715A TW 99118905 A TW99118905 A TW 99118905A TW 99118905 A TW99118905 A TW 99118905A TW 201143715 A TW201143715 A TW 201143715A
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time
state
sleep
posture
unit
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TW99118905A
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Chinese (zh)
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TWI478695B (en
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Jeen-Shing Wang
Che-Wei Lin
Wei-Chun Chiang
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Univ Nat Cheng Kung
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Abstract

A sleeping efficiency analyzer, which is disclosed, detects the posture and motion of a dynamic detector on several time points by the dynamic detector itself, generates a set of acceleration data and a set of posture data for each time point and stores them into a memory device, respectively generates a state signal and a posture signal by a state-determining unit and a posture-determining unit according to the acceleration data and posture data, and analyses the state signal and posture signal by a quality analyzing unit to obtain a analyzing result.

Description

201143715 六、發明說明: 【發明所屬之技術領域】 本發明係有關於一種睡眠效率分析方法及其裝置, 特別是一種透過感測使用者之動態所產生的加速度,以推 知其睡眠效率的睡眠效率分析方法及其裝置。 【先前技術】 一禋省用之睡眠效率分析裝置,如中華民國專利第 ㈣逃號之「睡眠品質分析裳置」所揭示,其包含數 個電極貼片、-心電量測單元及一分析單元,該數個電極 貼片係供貼合於-使用者之體表,該心電量測單元連接該 數個電極貼片以根據該數個電極貼片所感測之訊號產生一 心電訊號’而該分析單觸連接該心電 心電訊號’關斷該使用者之睡眠品f。 眠^二,!使用上述習用之睡眠效率分析裝置進行睡 刀斤日,仍存在缺點為:該數個電極貼片必須設置 #近於使用者之胸口處的髀 _ 影響使用者的睡眠姿置方式勢必 ,也將導祕ί 此縛使用者的睡眠 無法與使用者在未賴此睡眠品質分 析裳置時的實際睡眠情 貝刀 效率分μ 相合。此外,此龍之睡眠 斤裝:置亦無法用於判斷 ~ 針對睡眠姿勢哺用者之睡妥,因此亦無法 。其;^ &amp;㈣之間的關連性分減供參考資料 分=迷原因’有必要進-步改良上述習用之睡眠效率 201143715 【發明内容】 、本發明目的乃提供眠效率分析方法及 二便降低偵測裝置對使用者之睡眠姿態的影變,達到 咼分析正確性之目的。 θ 運巧徒 本發明另一目的係提供一種睡眠 裝置,其铜時侧使用者之睡鴨勢,^ 及其 勢與慢性疾病之間的關連性之參考^之$鬼集睡眠姿 本發明之技術手段為:—獅_率分析裝置,其 包含一動態感測單元、—訊號儲存單元、-狀態判料 兀、-姿勢判斷單it及-品質分析單元。 元係供感測該動態感測單元本身在—段感測^= 個時間點的運動狀態,並針對各該時_分職生一电 j度Γ號及—組姿態訊號;該簡儲存單元減該動 態感測早g接收讀存各該時間點之加速度訊號及姿 態訊號;錄關斷單元連接該訊號儲存單元且接收該 加速度訊號及錢斷法關斷該動 態感測單元在各該時間點時係呈—靜止狀態或一運動狀 態以產生-狀態㈣;該姿勢判斷單元連接該訊號儲 存單元且減該姿態城’並_料態減判斷該動 態感測單元在立體空财的絲,以產生—姿勢資訊; 該品質分析單元連接該狀態判斷單元及姿勢判斷單元以 接叹該狀訊及姿勢資訊’並根據該二資訊分析獲得 一睡眠品質分析結果。 此外,本發明之技術手段另包含—種睡眠效率分析 方法。該種睡眠效率分析方法包含:以—動態感測單元 201143715 偵測其本身在一感測時間内之數個時間點的運動情形, 並針對各該時間點分別產生一組加速度訊號及一組姿態 訊號,以一訊號儲存單元接收並儲存該感測時間内之所 有時間點的該加速度訊號及姿態訊號;以一狀態判斷單 元透過該加速度訊號、該姿態訊號及一狀態判斷法則產 生一狀態資訊,其中該狀態資訊包含該動態感測單元在 所有時間點所呈現的狀態;以一姿勢判斷單元根據該姿 態訊號判斷一使用者之姿勢,進而產生一姿勢資訊;以 一品質分析單元分析該狀態資訊及姿勢資訊產生數種評 估參數;以一結果顯示單元顯示該數種評估參數。 【實施方式】 為讓本發明上述及其他目的、特徵及優點能更明顯 易懂’下文特舉本發明的較佳實施例,並配合所附圖式, 作詳細說明如下: 請參照第1及2圖所示,其係繪示本發明較佳實施 例之睡眠效率分析裝置的系統架構圖及使用示意圖。該睡 眠效率分析裝置包含一動態感測單元1、一訊號儲存單元 2、一狀態判斷單元3、一姿勢判斷單元4、一品質分析單 元5及一結果顯示單元6。該動態感測單元1係供配戴固 疋於一使用者之配戴部位’以於一段感測時間内感測該配 戴部位之移動’並據以為該感測時間内的數個時間點分別 產生一組加速度訊號及一組姿態訊號;該訊號儲存單元2 與該動態感測單元1相耦接,以接收並儲存該加速度訊號 及姿態訊號;該狀態判斷單元3係連接該訊號儲存單元2 201143715 ,並利用一狀態判斯法 判斷該動祕測單元丨速度訊號及姿態訊號, 巧去,* ^ 在各該時間點時係呈一靜止狀態或 一運動狀態,進而產生—办&amp;放 狀悲資訊;該姿勢判斷單元4亦 連接該訊说儲存早元2,廿扭上占 測單元1在立^據該姿態訊號判斷該動態感 !^凡1在立體空間中的姿丨態,進而產生-姿勢資訊;該 刀析料5連接她_斷單元3及姿㈣斷單元4 二以根據綠態#訊轉勢資訊分體得—魏品質分析201143715 VI. Description of the Invention: [Technical Field] The present invention relates to a sleep efficiency analysis method and apparatus thereof, and more particularly to an acceleration generated by sensing a user's dynamics to infer sleep efficiency of sleep efficiency Analytical methods and devices. [Prior Art] A sleep-utilizing sleep efficiency analysis device, such as the "Sleep Quality Analysis Dress" of the Republic of China Patent (4), which includes several electrode patches, a cardiac power measurement unit, and an analysis. The unit, the plurality of electrode patches are attached to the body surface of the user, and the cardiac power measuring unit is connected to the plurality of electrode patches to generate an ECG signal according to the signal sensed by the plurality of electrode patches. The analysis is connected to the ECG signal by one touch to turn off the sleep product f of the user. Sleep ^ two,! There is still a disadvantage in using the sleep efficiency analysis device of the above-mentioned conventional sleep efficiency analysis device: the plurality of electrode patches must be set to be close to the chest of the user _ _ affecting the user's sleep posture is inevitable, and will also Guideline ί This user's sleep can't match the user's actual sleep efficiency. In addition, this dragon sleeps the load: it can't be used for judgment. ~ It is not easy for the sleep posture to sleep. The relationship between ^ &amp; (4) is reduced for reference data points = the cause of the problem is necessary to improve the sleep efficiency of the above-mentioned conventional use 201143715 [Invention content], the object of the present invention is to provide a method for analyzing sleep efficiency and two Reduce the influence of the detection device on the user's sleep posture, and achieve the purpose of analyzing the correctness. θ 运巧徒 Another object of the present invention is to provide a sleep device, the copper-time side user's sleeping duck potential, and the relationship between its potential and chronic diseases. The technical means is: a lion_rate analysis device, which comprises a dynamic sensing unit, a signal storage unit, a state judgment 兀, a posture judgment list it and a quality analysis unit. The meta-system is configured to sense the motion state of the dynamic sensing unit itself at the time of the sensing period, and for each of the times, the electric-powered j-degree nickname and the group-group attitude signal; the simple storage unit Subtracting the dynamic sensing, the g receiving and storing the acceleration signal and the attitude signal at each time point; the recording and closing unit is connected to the signal storage unit and receiving the acceleration signal and the money breaking method is used to turn off the dynamic sensing unit at each time. When the point is a static state or a motion state to generate a state (four); the posture determining unit is connected to the signal storage unit and subtracts the attitude city and determines the dynamic sensing unit in the three-dimensional empty money, The quality analysis unit is connected to the state determination unit and the posture determination unit to sigh the gesture and posture information ' and obtain a sleep quality analysis result according to the second information analysis. In addition, the technical means of the present invention further includes a sleep efficiency analysis method. The sleep efficiency analysis method includes: detecting, by the dynamic sensing unit 201143715, a motion situation of the plurality of time points within a sensing time, and generating a set of acceleration signals and a set of postures for each of the time points respectively. The signal receiving and storing the acceleration signal and the attitude signal at all time points in the sensing time by a signal storage unit; and generating, by the state determining unit, the status information through the acceleration signal, the attitude signal and a state determination rule, The status information includes a state that the dynamic sensing unit presents at all time points; a posture determining unit determines a user's posture according to the posture signal, thereby generating a posture information; and analyzing the status information by using a quality analysis unit. And the posture information generates a plurality of evaluation parameters; the plurality of evaluation parameters are displayed by a result display unit. The above and other objects, features, and advantages of the present invention will become more <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; 2 is a system architecture diagram and a usage diagram of a sleep efficiency analysis apparatus according to a preferred embodiment of the present invention. The sleep efficiency analyzing device comprises a dynamic sensing unit 1, a signal storage unit 2, a state determining unit 3, a posture determining unit 4, a quality analyzing unit 5 and a result display unit 6. The dynamic sensing unit 1 is configured to wear a wearing portion of a user to sense the movement of the wearing portion during a sensing time and to be a plurality of time points in the sensing time. And generating a set of acceleration signals and a set of attitude signals; the signal storage unit 2 is coupled to the dynamic sensing unit 1 to receive and store the acceleration signal and the attitude signal; the state determining unit 3 is connected to the signal storage unit 2 201143715, and use a state judgment method to judge the speed signal and attitude signal of the motion detection unit, and go to, at each time point, a static state or a motion state, thereby generating - running &amp; The posture judgment unit 4 is also connected to the message storage early element 2, and the measurement unit 1 determines the dynamic feeling according to the attitude signal! ^1 is a posture in the three-dimensional space And then generate - posture information; the knife material 5 is connected to her_breaking unit 3 and posture (four) breaking unit 4 to obtain the information according to the green state

…果;該結果顯示單元6鱗接該品質分析單元5,以接 收並顯示該睡眠品質分析結果。 請再參照第1 ’示,該動態感測單元1包含-加 速度計11及—陀螺儀12。該加速度計η係供在該動態 感測單元1受到移動時’分別沿該動態感測單s丨的三個 相互垂直之軸向各測得-加速度值,以便由該三個加速度 ,構成該加速度訊號;該陀螺儀12則供辨識該動態感測 單兀1之該三個軸向相對於大地座標的旋轉角,並由該三 個旋轉角構成該姿態訊號,以供測知在該三軸向上之重力 加速度分該訊號儲存單it 2係儲存該感測時間内之各 該時間點職加速度訊號及絲職,且該訊號儲存單元 2與該動態制單元1之祕方式係可湘無線方式或有 線方式進行傳輸,而該無線方式係可選擇為射頻傳輸方式 、紅外線傳輸方式或藍芽傳輸方式。 該狀態判斷單兀3之狀態判斷法則的實施方式係可 包含如下步驟:一選取步驟,其係根據一取樣 欲進行狀態判斷之時間點,選取在該取樣時間範圍内之數 個時間點;-取值步驟,其係將所選取之各時間點的加速 201143715 度訊號之三個加速度值中 絕對值並加總,進而獲得』2逮度分量移除之後,取 及一判斷步驟,其係招播^才a點之一總加速度量;以 ' Γ〜取樣時間範圍内的各時間點與 該欲械態觸之時間點 _ 總加速度量乘以-權重信、77腳各該時間點的 較該判斷指數與-門檀值二數’並比 數大於該門檻值時,即可判 '、中’ “判斷指 點日##叙π β、目π w疋在該欲進行狀態判斷之時間 &quot;沾時該動恕感測早兀丨係呈 用者應處於清_情況下,^目屬㈣,故可推知該使 斷之時門軸外1 rV 可欺㈣欲進行狀態判 1:! 態感測單元1係呈現該靜止狀態,進而 推t該使用者係處於_中的纽1,當錄態判斷單 :$:對:感測時間内的所有時間點以該狀態判斷法則進 灯r之$ ’即輸出該狀態資訊。該狀態資訊不僅可包含 各時間點之狀態,亦可包含所有總加速度量時間之波形 ^此外’則述之選取步驟及取值步驟之執行順序亦可相互 對調’首先以該取值步驟計算獲得該感測時間内的所有時 間點之〜'力口速度量’並以該選取步驟選出該取樣時間範圍 内之各時間闕各總加速度量,再繼之執行該判斷步驟。 牛例而β,¥該總加速度量之單位為count時,較佳設定 該取樣時間範圍包含7個時間點,欲進行狀態判斷之時間 點係為其中的第5個’各時間點的權重值依序為0.0035、 0.0018、〇.〇〇19、0.0025、0.0076、0.0024 及 0.0022,且該 門檻值為1 ’以便獲得較佳之判斷指數。 該姿勢判斷單元4係接收該訊號儲存單元2中之各 時間點的姿態訊號,並根據該姿態訊號而得知該動態感測 201143715 單元1在大地座標中的姿態,進而推知該使用者的姿勢以The result display unit 6 scales the quality analysis unit 5 to receive and display the sleep quality analysis result. Referring again to Fig. 1, the dynamic sensing unit 1 includes an accelerometer 11 and a gyroscope 12. The accelerometer η is configured to respectively measure the acceleration values along the three mutually perpendicular axes of the dynamic sensing unit s when the dynamic sensing unit 1 is moved, so as to constitute the three accelerations. An acceleration signal; the gyroscope 12 is configured to identify the rotation angles of the three axial directions of the dynamic sensing unit 1 with respect to the earth coordinates, and the three rotation angles constitute the attitude signal for detecting the three The acceleration of the gravitational acceleration in the axial direction is divided into the signal storage unit and the wire occupation, and the secret mode of the signal storage unit 2 and the dynamic unit 1 is The mode is transmitted in a wired manner, and the wireless mode can be selected as a radio frequency transmission mode, an infrared transmission mode, or a Bluetooth transmission mode. The implementation manner of the state determination rule of the state determination unit 3 may include the following steps: a selection step of selecting a plurality of time points within the sampling time range according to a time point at which a state is to be determined by sampling; The value step is to add the total value of the three acceleration values of the acceleration 201143715 degree signal at each selected time point, and then obtain the "2 capture component removal", and take a judgment step, which is a trick The total acceleration of one point of the broadcast a point; the time point of the 'Γ~ sampling time range and the time point of the desired mechanical state _ total acceleration amount multiplied by - weight letter, 77 feet each of the time points When the judgment index and the -door value are two and the ratio is greater than the threshold, the judgment can be judged as ', middle', "judge the pointing day ## π β, and the target π w疋 at the time of the state judgment" The distressed sense of the forgiveness of the early morning sputum system should be in the clear _ case, ^ genus (four), it can be inferred that when the break is outside the door axis 1 rV can be bullied (four) want to judge the state 1:! State sensing unit 1 exhibits the quiescent state, and then pushes the user system Newton 1 in _, when the recording status judgment list: $: pair: all the time points in the sensing time are outputted by the state judgment rule into the light r'. This status information can include not only the time points. The state may also include the waveform of all the total acceleration time. In addition, the selection step and the execution sequence of the value step may also be mutually adjusted. First, all the time points in the sensing time are calculated by the value step. ~ 'force velocity amount' and use the selection step to select each time of the total acceleration amount in the sampling time range, and then perform the determination step. The cow case and β, the unit of the total acceleration amount is count Preferably, the sampling time range includes seven time points, and the time point for which the state determination is to be performed is the weight value of the fifth 'each time point is 0.0035, 0.0018, 〇.〇〇19, 0.0025. , 0.0076, 0.0024 and 0.0022, and the threshold value is 1 ' in order to obtain a better judgment index. The posture judging unit 4 receives the attitude signal at each time point in the signal storage unit 2, and according to the attitude signal That the attitude of the earth coordinate the motion detection unit 201 143 715 1, further inferred gesture to the user

產生該姿勢資訊。舉例而言,請同時參照第2圖所示之使 用示意圖,當該動態感測單元1係配置於使用者之腰部, 且預設該使用者之身軀呈直立姿勢時,該動態感測單元j 之垂直軸向與大地座標之垂直軸向相平行而呈現一直立姿 態,則當該動態感測單元1之垂直軸向大致與大地座標之 垂直軸向呈90度夾角而使該動態感測單元!呈現—平躺 姿態時,即表示該使用者係呈躺臥姿勢。此外,該動態感 測單元1之另二轴向亦可辅助判斷在該使用者呈躺臥姿勢 的情況下’其絲㈣、俯臥、左向舰或右向側臥。 琢品質分析單元 係接收該狀態資訊及姿勢資訊, 並由該二資訊運算獲得數種評财數及—綜合評估效率以 —併構成該睡眠品S分析結果。舉例而言,該數種評估參 數可包括-人睡延遲參數R1、—就寢_參數R2、一雜 ,長度參數R3、體位錄R4、—起床 =及-睡眠效率參數R6。詳言之,該入睡延遲參數幻 寢時間點與一入睡時間點之 寢時間點係為該姿勢資訊中 ^ 八肀該疝 测單元丨為該直立姿態〕轉變勢〔即該動態感 測單元丨為該平躺姿態〕之時門^臥錢〔即該動態感 該狀態資訊中首次顯科該细狀間點則為 時間點;該就寢時間參數R2轉4該靜止狀態的 睡眠長度參數R3為該姿勢資訊; 點的時間;該 間;該睡眠體位參數R4係藉由综;f 队姿勢的總時 體位分佈狀態之分析結果#得,2 —位變化次數及一 獲传其中該體位變化次數係為 201143715 該使用者在該取樣時間範_變換躺臥姿勢的次數, 體位分佈狀_為錢时呈佩 ^ :侧臥在該取樣時間範圍内所佔的時間比例;該= &gt;數R5為—清醒時間點與—起床時間點之間的時間差, 其中該清醒時間點係為該狀態資訊中最後—次顯示由該靜 止《轉變為該運動狀態的時間點,而該起床時間點則為 該安勢資訊中顯示由躺臥姿勢轉變為直立姿勢之時間點; 該睡眠效率參數R6則為該狀崎訊中顯示為靜止狀態的 …時間與該^勢資訊巾顯示為I織姿勢的總時間的比值。 此外上述各5平估參數較佳係與使用者所屬年齡層之正常 值進行相除絲百分比率後歸於—雷達目,以便該使用 者進行睡眠σσ質分析之結果判讀。其巾,該體位變化次數 的评比方式較佳係於—上邊界次數及—下邊界次數之間界 定一最佳變彳b錄範目,且另設Α於該上邊界讀之一臨 界次數。藉此,可定義體位未變化及體位變化次數大於該 臨界次數者之分析結果為0%;該體位變化次數位於該最 佳變化次數範圍内者之分析結果為100%;該體位變化次 數介於〇次〔未變化〕及該下邊界次數之間者,則由該體 位未變化之〇%以線性等差方式遞增至該下邊界次數之 100%而獲得其分析結果;而該體位變化次數介於該上邊 界次數及臨界次數之間者,則由該上邊界次數之100%以 線性等差方式遞減至該臨界次數之0%而獲得其分析結果 。同時,該體位分佈狀態的評比方式較佳係界定該使用者 呈右向侧臥及仰臥之總時間大於一預設值時,其分析結果 為100%,而低於該預設值者則由該預設值之100%以線 201143715 =;=至該0%〔即該使用者在該取樣時間範圍 未曰呈右向側臥及佩〕以作為其分析結果。藉此 離:參數R4储㈣該触變化次數及體位分佈狀 ==各乘以一權重值而獲得,且該權重值較‘ 各^為〇·5。另’請參照第3圖所示,該综合評估效率 糸二上述之數餅估參躲該雷達财所 面積與該雷達圖中之最大正多邊形之面積的比值 正夕邊$的侧邊數係與該數種評估參數之麵數相同。該This pose information is generated. For example, please refer to the usage diagram shown in FIG. 2, when the dynamic sensing unit 1 is disposed at the waist of the user, and the body of the user is preset to be in an upright posture, the dynamic sensing unit j The vertical axis is parallel to the vertical axis of the earth coordinate and assumes an upright posture. When the vertical axis of the dynamic sensing unit 1 is substantially at an angle of 90 degrees with the vertical axis of the earth coordinate, the dynamic sensing unit is ! Presentation - when lying down, means that the user is in a lying position. In addition, the other two axial directions of the dynamic sensing unit 1 can also assist in judging whether the user is in a lying position, the silk (four), the prone, the left or the right side. The quality analysis unit receives the status information and the posture information, and obtains a plurality of evaluation numbers and a comprehensive evaluation efficiency by the two information operations, and constitutes the sleep product S analysis result. For example, the plurality of evaluation parameters may include a human sleep delay parameter R1, a sleepiness parameter R2, a miscellaneous, a length parameter R3, a body position R4, a wake up =, and a sleep efficiency parameter R6. In detail, the sleep delay parameter of the sleep delay parameter and the sleep time point of a sleep time point are the posture information in the posture information ^ 肀 肀 疝 肀 肀 肀 肀 肀 〔 〔 〔 〔 〔 〔 〔 〔 〔 〔 〔 〔 〔 〔 〔 〔 〔 〔 In the case of the lying posture, the door is lying on the door (that is, the dynamic sense is the first time in the state information, the fine point is the time point; the sleep time parameter R2 is 4, and the sleep length parameter R3 in the static state is The posture information; the time of the point; the sleep posture parameter R4 is the result of the analysis of the total position distribution state of the f-team posture, the number of changes of the 2-bit position and the number of changes of the body position The system is 201143715. The number of times the user has changed the lying posture in the sampling time, the position distribution_ is the time when the money is presented: the proportion of time occupied by the side lying in the sampling time range; the = &gt; the number R5 The time difference between the waking time point and the waking time point, wherein the waking time point is the last time in the status information to display the time point from the stationary "transition to the motion state, and the waking time point is The security fund Shown lying posture change from the time point upright posture; R6 compared with the sleep efficiency parameter displays the information for Kawasaki-shaped stationary state of the time ... ^ towel potential information is the ratio of the total time to display the posture I weave. In addition, the above-mentioned 5 flat estimation parameters are preferably attributed to the normal percentage of the user's age group, and then are attributed to the radar target, so that the user can perform the sleep σ σ qualitative analysis. In the towel, the evaluation method of the number of positions of the body position is preferably defined as an optimal change between the number of upper boundary times and the number of times of the lower boundary, and is set to a number of critical times of reading the upper boundary. Thereby, the analysis result that the body position is unchanged and the number of body position changes is greater than the critical number of times is 0%; the analysis result of the body position change number within the optimal change number range is 100%; the number of body position changes is between 〇 times [unchanged] and the number of times of the lower boundary, the 〇% of the body position unchanged increases linearly to 100% of the number of times of the lower boundary to obtain the analysis result; and the number of changes in the body position is If the upper boundary number and the critical number are between 100% of the upper boundary number, the result of the analysis is obtained by linearly decreasing to 0% of the critical number. At the same time, the evaluation method of the position distribution state preferably defines that the total time of the user lying to the right side and the supine is greater than a preset value, and the analysis result is 100%, and the value lower than the preset value is determined by 100% of the preset value is taken as the result of the analysis by the line 201143715 =; = to 0% [ie, the user is lying on the right side of the sampling time range]. By this, the parameter R4 stores (4) the number of touch changes and the body position distribution == each multiplied by a weight value, and the weight value is smaller than ‘ each ^ is 〇·5. In addition, please refer to Figure 3, the comprehensive evaluation efficiency is calculated as the ratio of the area of the radar and the area of the largest regular polygon in the radar chart. Same as the number of faces of the several evaluation parameters. The

結果顯示單元6係接收綱H分析結果細示如第3 圖所示之雷達圖。 、藉由上述之睡眠效率分析裝置’本發明之睡眠效率 分析方法係包含下列步H軸態制單元丨偵測其本 身在該感測時間内之運動情形,以產生該加速度訊號&amp;姿 態訊號;以該訊號儲存單元2接收並儲存該感測時間内之 所有時間點的加速度訊號及姿態訊號;以該狀態判斷單元 3透過該加速度訊號、姿態訊號及狀態判斷法則產生該狀 態資訊,且該狀態資訊至少包含該動態感辦單元丨在所有 時間點所呈現的狀態〔即係呈現該運動狀態或靜止狀態〕 ,以該姿勢判斷單元4根據該姿態訊號判斷該使用者之姿 勢,進而產生該姿勢資訊;以該品質分析單元5分析該狀 態資訊及姿勢資訊,以便至少產生該數種評估參數;最後 再以該結果顯示單元6顯示該數種評估參數’且較佳係以 雷達圖的形式纟會示。 此外’為提ifj本發明之睡眠效率分析裝置的實用性 ,更可預先針對該動態感測單元1配置於該使用者之特定 —11 201143715 配戴部位的情況,在該姿勢判斷單元4中建立在各種躺臥 要勢之下該動態感測早元1的姿態模型,以便藉由比對該 安·態成號及安態核型而判定該使用者之姿勢,進而產生該 姿勢資訊。例如,可將二個動態感測單元i分別配置於使 用者的手部及腳踝,並預先紀錄該使用者之手部及腳踝上 的動悲感測單元1在使用者之各種姿勢下的姿態,以建立 該姿態模^ ’最後即可藉由料態模㈣觸獲得該姿 資訊。The result display unit 6 receives the outline H analysis result and shows the radar chart as shown in Fig. 3. The sleep efficiency analysis method of the present invention comprises the following steps: the H-axis system unit detects the motion of the self-sensing time during the sensing time to generate the acceleration signal &amp; attitude signal. The signal storage unit 2 receives and stores the acceleration signal and the attitude signal at all time points in the sensing time; the state determining unit 3 generates the status information through the acceleration signal, the attitude signal and the state determination rule, and the state information is generated. The status information includes at least a state that the dynamic sensing unit displays at all time points (ie, the motion state or the stationary state is present), and the posture determining unit 4 determines the posture of the user according to the posture signal, thereby generating the Position information; the quality analysis unit 5 analyzes the status information and the posture information to generate at least the plurality of evaluation parameters; finally, the result display unit 6 displays the plurality of evaluation parameters 'and preferably in the form of a radar chart纟 will show. In addition, in order to improve the usability of the sleep efficiency analysis device of the present invention, the dynamic sensing unit 1 may be disposed in advance in the user's specific -11 201143715 wearing portion, and the posture determining unit 4 is established. The attitude model of the early element 1 is dynamically sensed under various lying conditions to determine the posture of the user by comparing the number of the An's state with the karyotype of the state, thereby generating the posture information. For example, the two dynamic sensing units i can be respectively disposed on the user's hand and the ankle, and the posture of the user's hand and the ankle and the sensing unit 1 on the ankle in various postures of the user can be recorded in advance. In order to establish the attitude mode ^ 'finally, the position information can be obtained by touching the mode mode (4).

綜上所述,本發明之睡眠效率分析裝置不僅可隨意 選擇使用者之身軀的任何部位作為該配戴部位,甚至可藉 由該姿態模型而配戴於使用者之四肢、頸部或頭部,因^ J有效降低因配戴職誠測單元〗所導致之不適感及其 影響;此外,更由於勢_單元4可藉由觸態感測 早70 1取得該絲崎树算_姿勢資訊,故可供使用 者根據該姿勢資關讀其_時的姿勢分綠況,進而可 供針對睡目轉態與慢性_之卩⑽關連性進行分析。In summary, the sleep efficiency analysis device of the present invention can not only freely select any part of the user's body as the wearing part, but can even be worn on the user's limbs, neck or head by the posture model. Because JJ effectively reduces the discomfort and its influence caused by the wearing of the test unit; in addition, because the potential_unit 4 can obtain the silky tree calculation by the touch state sensing 70 1 Therefore, the user can be classified according to the posture of the posture to read the green state, and then the correlation between the sleepy state and the chronic _ (10) can be analyzed.

雖然本發明⑽用上述較佳實關揭示,鮮並非 本發明,任何熟習此技藝者在不脫離本發明的精 ===,相對上述實施例進行各種更動與修改仍屬 Γ二::技術範,,因此本發明的保護範圍當視後 附的申明專利範圍所界定者為準。 —12 — 201143715 【圖式簡單說明】 第1圖:本發明較佳實施例之睡眠致率分析裝置的系 統架構圖。 第2圖: 用示意圖。 本發明較佳實施例之睡眠效率分析裝置的使 果二圖所=明較佳實施例之睡眠效率分析裝置的社 果顯不早兀所呈現之雷達圖。Although the present invention (10) is disclosed by the above-mentioned preferred embodiment, it is not the present invention, and any person skilled in the art without departing from the essence of the present invention ===, and various changes and modifications with respect to the above embodiment are still two: Therefore, the scope of the invention is defined by the scope of the appended claims. —12 — 201143715 BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a system architecture diagram of a sleep rate analyzing device according to a preferred embodiment of the present invention. Figure 2: Using the schematic. The effect of the sleep efficiency analysis apparatus of the preferred embodiment of the present invention is shown in the second embodiment of the sleep efficiency analysis apparatus of the preferred embodiment.

【主要元件符號說明】 1 動態感測單元 12 陀螺儀 3 狀態判斷單元 5 品質分析單元 R1 入睡延遲參數 R3 睡眠長度參數 R5 起床延遲參數[Main component symbol description] 1 Dynamic sensing unit 12 Gyro 3 State judgment unit 5 Quality analysis unit R1 Sleep delay parameter R3 Sleep length parameter R5 Wake delay parameter

11 加速度計 2 訊號儲存單元 4 姿勢判斷單元 6 結果顯示單元 R2就寢時間參數 R4睡眠體位參數 R6 睡眠效率參數 —13 —11 Accelerometer 2 Signal storage unit 4 Posture judgment unit 6 Result display unit R2 bedtime parameter R4 sleep position parameter R6 Sleep efficiency parameter —13 —

Claims (1)

201143715 七、申請專利範園: 1、 一種睡眠效率分析裝置,其包含: 一動態感測單元,係供感測該動態感測單元本身在一 段感測時間内之數個時間點的運動狀態,並針對各該 時間點分別產生一組加速度訊號及一組姿態訊號; 一訊號儲存單元’係耦接該動態感測單元以接收並儲 存各該時間點之加速度訊號及姿態訊號; 一狀態判斷單元,係連接該訊號儲存單元且接收該加 速度訊號及姿態訊號,並以一狀態判斷法則判斷該動 態感測單元在各該時間點時係呈一靜止狀態或一運動 狀態,以產生一狀態資訊; -姿勢判斷單元,係連接該訊鶴存單元且接收該次 態訊號,並根據該姿態訊號判斷該動態感測單元^文 體空間中的姿態,以產生一姿勢資訊;及 -品質分析單元’係連接錄態蘭單元及 單元以接收該狀態資訊及姿勢資訊,並根據該二 分析獲得一睡眠品質分析結果。 貝訊 2、 依申請專利範圍第1項所述之睡眠效率分析骏置,复 中另包含一結果顯示單元連接該品質分析單其 收並顯示該睡眠品質分析結果。 以接 、依申請專利範圍第1項所述之睡眠效率分析震置 中該動態感測單元包含一加速度計及一陀2 ,其 速度计係感測在該動態感測單元之三個轴向上、 度值以構成該加速度訊號’而該陀螺儀該三個轴勹' —14 — 201143715 對於大地座標的旋轉角以構成該姿態訊號。201143715 VII. Application for Patent Park: 1. A sleep efficiency analysis device, comprising: a dynamic sensing unit for sensing the motion state of the dynamic sensing unit itself at a plurality of time points within a sensing time, And generating a set of acceleration signals and a set of attitude signals for each of the time points; a signal storage unit is coupled to the dynamic sensing unit to receive and store the acceleration signals and attitude signals at the time points; Connecting the signal storage unit and receiving the acceleration signal and the attitude signal, and determining, by a state judgment rule, the dynamic sensing unit is in a static state or a motion state at each time point to generate a state information; a posture determining unit that connects the signal storage unit and receives the secondary signal, and determines a posture of the dynamic sensing unit in the body space according to the attitude signal to generate a posture information; and a quality analysis unit Connecting the recording blue unit and the unit to receive the status information and posture information, and obtaining a sleep according to the second analysis Qualitative analysis. Beixun 2. According to the sleep efficiency analysis described in item 1 of the patent application scope, the result further includes a result display unit connected to the quality analysis sheet to display and display the sleep quality analysis result. The dynamic sensing unit includes an accelerometer and a gyro 2, and the velocity meter is sensed in three axial directions of the dynamic sensing unit. The upper and lower values constitute the acceleration signal 'the gyroscope's three axes — '14 — 201143715 for the rotation angle of the earth coordinates to constitute the attitude signal. 4、 依申請專利範圍第1項所述之睡眠效率分析農置,其 中該狀態判斷法則係包含一選取步驟、一取值步驟及 —判斷步_,該選取步-係根據一取樣時間丨範圍及欲 進行狀態判斷之時間點;’選取在該取樣時間範圍内之 數個時間點;該取值步驟係將所選取之各時間點的加 速度訊號之重力加速度分量移除之後,取絕對值並加 總,以獲得各該時間點之一總加速度量;該判斷步驟 係根據該取樣時間範圍内的各時間點與該欲進行狀態 判斷之時間點的關係,分別將各該時間點的總加速度 量乘以一權重值並加總以獲得一判斷指數,並比較該 判斷指數與一門檻值之數值大小。 5、 依申請專利範圍第丨項所述之睡眠效率分析裝置,其 中該品質分析單元所產生之睡眠品質分析結果包含數 種評估參數。 6、依申料利制第5項所述之睡眠效率分析裝置,其 中該,估參數包含—人祕遲參數,該场㈣參數 為-就寢時間點與一入睡時間點之間的時間差, =寢時間點係為該動態感測單元由—直立姿離轉變 ί:=之Γ點’而該入睡時間點則為該狀態 貝^百★顯不由該運動狀態轉變為該靜止狀態的時 —15 — 7 201143715 8、 依申請專利範圍第5項所述之睡眠效率分析裝置,发 :該評估參數包含-睡眠長度參數,該睡眠長度參數 :、、'該動態感測單TG呈現-平躺姿態的總時間。 9、 依申請專利顧第5項所述之睡眠效率分析裝置,龙 t該評估錄包含—睡眠體位參數,該激 係利用將-體位變化次數及一體位分佈狀態之分^ 果各乘以一權重值而獲得。 σ (、依申請專利麵第5項所述之睡眠效率分析裝置,龙 二2估參數包含—起床延遲參數,該起床延遲表數 為一 &gt; 月醒時間點與-起床時間點之間的時間差, 之時間點 該清醒時間點係為該狀態資訊t最後一次顯示由該 =態轉變為該運動狀態的時間點,而該起床時間點 二。亥動fe感測單元由一平躺姿態轉變為—直立攻 夕Η主M 態 11、,中請專利範圍第5項所述之睡眠效率分析裝置 該评估參數包含—睡眠效轉數,效率灰ς 測:狀:資訊中顯示為靜止狀態的總時間與該動態感 “ 70呈現為一平躺姿態的總時間的比值。 2、依申請專圍第5項所述之睡眠效率分析裝置,甘 元所產生之睡眠品質分析結果另包; &amp;、二率,該綜合評估效率係為該數種評❹ 13 之圖中所構成之多邊形的面積與該雷達圖中 正夕邊形之面積的比值,且該正多邊形的 數係與該數種評估參數之種紐相同。 邊 —種睡眠效率分析方法,其包含·· 一 16 — 201143715 以一動態感測單元偵測其本身在一感測時間内之數個 時間點的運動情形,並針對各該時間點分別產生一組 加速度訊號及一組姿態訊號; 以一訊號儲存單元接收並儲存該感測時間内之所有時 間點的該加速度訊號及姿態訊號; 以一狀態判斷單元透過該加速度訊號、該姿態訊號及 一狀態判斷法則產生一狀態資訊,其中該狀態資訊包 含該動態感測單元在所有時間點所呈現的狀態; 以一姿勢判斷單元根據該姿態訊號判斷一使用者之姿 勢’進而產生一姿勢資訊; 以—品質分析單元分析該狀態資訊及姿勢資訊產生數 種評估參數;及 以一結果顯示單元顯示該數種評估參數。4. The analysis of the sleep efficiency according to the first item of the patent application scope, wherein the state determination rule comprises a selection step, a value step and a determination step _, the selection step is based on a sampling time range And the time point at which the state judgment is to be performed; 'selecting a plurality of time points within the sampling time range; the value taking step is to remove the gravity acceleration component of the acceleration signal at each selected time point, and take the absolute value and Adding to obtain a total acceleration amount at each of the time points; the determining step is based on the relationship between each time point in the sampling time range and the time point at which the state is to be determined, and the total acceleration of each time point is respectively determined. The quantity is multiplied by a weight value and summed to obtain a judgment index, and the magnitude of the judgment index and a threshold value are compared. 5. The sleep efficiency analysis device according to the scope of the patent application scope, wherein the sleep quality analysis result generated by the quality analysis unit comprises a plurality of evaluation parameters. 6. The sleep efficiency analysis device according to item 5 of the claim system, wherein the estimated parameter comprises a human late parameter, and the field (four) parameter is a time difference between a bedtime time and a sleep time point, The bedtime point is the time when the dynamic sensing unit is changed from the erect posture to the ί:= 而 point and the sleep time point is the state 贝 ^ ★ 显 显 显 显 显 显 显 显 — — — — — 15 15 15 15 15 — 7 201143715 8. According to the sleep efficiency analysis device described in item 5 of the patent application scope, the evaluation parameter includes a sleep length parameter, and the sleep length parameter: , 'the dynamic sensing single TG presentation-lying posture Total time. 9. According to the sleep efficiency analysis device described in the fifth application of the patent application, the evaluation record of the dragon t includes a sleep position parameter, and the activation system multiplies the division result of the number of body position changes and the integration position state by one. Obtained by the weight value. σ (, according to the sleep efficiency analysis device described in item 5 of the patent application, the evaluation parameter of the Long 2 2 includes the wake-up delay parameter, the number of the wake-up delay table is one > between the time of the wake-up time and the time of the wake-up time Time difference, the waking time point is the time point at which the state information t is last changed from the = state to the motion state, and the wake-up time point is 2. The ho-fe sensing unit is changed from a lying posture to —Upright 攻 Η Master M state 11, the sleep efficiency analysis device described in item 5 of the patent scope includes: sleep effect number, efficiency ash test: shape: total information displayed as quiescent state in the information The time and the dynamic sense "70 is presented as the ratio of the total time of a lying posture. 2. According to the sleep efficiency analysis device described in item 5 of the application, the sleep quality analysis result produced by Ganyuan is included; &amp;, Second rate, the comprehensive evaluation efficiency is the ratio of the area of the polygon formed in the graphs of the plurality of evaluations 13 to the area of the ecliptic in the radar chart, and the number of the regular polygons and the plurality of evaluations The same is true for the number of species. The edge-type sleep efficiency analysis method, which includes ·························································· And generating, by a signal storage unit, the acceleration signal and the attitude signal at all time points in the sensing time; and transmitting, by the state determining unit, the acceleration signal, The attitude signal and a state determination rule generate a state information, wherein the state information includes a state that the dynamic sensing unit presents at all time points; and a posture determining unit determines a user's gesture based on the posture signal to generate a posture information; analyzing the state information and the posture information by the quality analysis unit to generate a plurality of evaluation parameters; and displaying the plurality of evaluation parameters by a result display unit. —17—17
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