TW201536253A - Severity of obstructive sleep apnea analyzer and analysis thereof - Google Patents

Severity of obstructive sleep apnea analyzer and analysis thereof Download PDF

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Publication number
TW201536253A
TW201536253A TW103110311A TW103110311A TW201536253A TW 201536253 A TW201536253 A TW 201536253A TW 103110311 A TW103110311 A TW 103110311A TW 103110311 A TW103110311 A TW 103110311A TW 201536253 A TW201536253 A TW 201536253A
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Taiwan
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signal
threshold
severity
suspension
obstructive sleep
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TW103110311A
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Chinese (zh)
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Hsien-Tsai Wu
Wen-Yao Pan
An-Bang Liu
Chih-Chin Wu
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Nat Univ Dong Hwa
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Abstract

An analysis of severity of Obstructive Sleep Apnea is implemented using a band-pass filter to filter a vibration signal from a user and to generate a filter signal, and a processor to quantify the filter signal to find the Burst event after apnea event or hypopnea event, so as to permit analysis of severity of Obstructive Sleep Apnea.

Description

阻塞性睡眠呼吸中止嚴重程度量測裝置與方法 Obstructive sleep breathing suspension severity measuring device and method

本發明是有關於一種睡眠呼吸中止嚴重程度量測裝置與方法,特別是指一種可藉由上呼吸道振動信號對於阻塞性睡眠呼吸中止(Obstructive Apnea,OSA)進行分析評估的阻塞性睡眠呼吸中止嚴重程度量測裝置與方法。 The invention relates to a sleep breathing suspension severity measuring device and method, in particular to an obstructive sleep breathing suspension which can be analyzed and analyzed by an upper respiratory tract vibration signal for obstructive sleep breathing (OSA). Degree measuring device and method.

睡眠呼吸中止(Sleep Apnea)是一種睡眠時候呼吸停止的睡眠障礙。睡眠時呼吸障礙可分成無呼吸(Apnea)及低通氣(Hypopnea),無呼吸是口、鼻的氣流停止流動超過十秒,低通氣是十秒以上的換氣量降低了50%以上或血氧飽和度(SaO2)至少降低3%。 Sleep Apnea is a sleep disorder in which breathing stops during sleep. Breathing disorders during sleep can be divided into no-breathing (Apnea) and hypopnea (Hypopnea). No breathing is the flow of mouth and nose stops flowing for more than ten seconds. Hypnea is more than 50% of ventilation for more than 10 seconds or blood oxygenation. The saturation (SaO 2 ) is reduced by at least 3%.

目前對於睡眠呼吸中止的檢查方法為多導睡眠儀(Polysomnography,簡稱PSG),主要是在待測者睡眠時監測腦波圖、眼電圖、肌電圖以判斷睡眠分期,監測口、鼻氣流以得到胸及腹部的動態及呼吸活動,並配合脈動式血氧計以監測血氧濃度變化。然而,待測者在接受多導睡眠儀量測時身上必須貼上許多感測器,可能會造成待測者的不適,降低待測者接受量測的意願。 At present, the examination method for sleep breathing is polysomnography (PSG), which mainly monitors brain wave, electro-oculogram, and electromyogram to determine sleep stage, monitor mouth and nasal airflow when the test subject sleeps. In order to obtain the dynamics and respiratory activity of the chest and abdomen, and with a pulse oximeter to monitor changes in blood oxygen concentration. However, the test subject must have many sensors attached to the polysomnography measurement, which may cause discomfort to the test subject and reduce the willingness of the test subject to accept the measurement.

因此,本發明之目的,即在提供一種可藉由上 呼吸道的振動信號對於阻塞性睡眠呼吸中止的嚴重程度進行分析評估的阻塞性睡眠呼吸中止嚴重程度量測裝置與方法。 Therefore, the object of the present invention is to provide a The obstructive sleep apnea severity measuring device and method for assessing the severity of obstructive sleep apnea by the vibration signal of the respiratory tract.

於是,本發明阻塞性睡眠呼吸中止嚴重程度量 測裝置包含一感測模組、一濾波模組、一處理模組及一輸出模組。該感測模組取得一待測者的上呼吸道在一睡眠期間內的一振動感測信號;該濾波模組對該振動感測信號進行帶通濾波得到一帶通信號;該處理模組依據該帶通信號量化代表呼吸中止事件或低通氣事件結束後產生的劇烈振動,並依據其數量對於阻塞性睡眠呼吸中止的嚴重程度進行評估;該輸出模組輸出該處理模組之處理結果。 Thus, the obstructive sleep breathing suspension severity of the present invention The measuring device comprises a sensing module, a filtering module, a processing module and an output module. The sensing module obtains a vibration sensing signal of the upper respiratory tract of the test subject during a sleep period; the filtering module performs band pass filtering on the vibration sensing signal to obtain a band pass signal; the processing module is configured according to the The bandpass signal quantification represents the violent vibration generated after the end of the respiratory arrest event or the hypopnea event, and the severity of the obstructive sleep apnea is evaluated according to the number thereof; the output module outputs the processing result of the processing module.

較佳的,該處理模組對該帶通信號找出在一時 間間隔內低於一第一閥值的一呼吸中止或低通氣之信號,以及對該呼吸中止或低通氣之信號後的信號判斷是否具有大於一第二閥值的一劇烈振動信號,且該第二閥值大於該第一閥值,若有,則對該劇烈振動信號標示為一劇烈振動指標。 Preferably, the processing module finds the band pass signal at a time. a signal of a breath suspension or hypopnea below a first threshold value, and a signal after the signal of the suspension or hypopnea is judged whether there is a severe vibration signal greater than a second threshold, and the The second threshold is greater than the first threshold, and if so, the severe vibration signal is indicated as a severe vibration indicator.

較佳的,該處理模組先進行一預處理程序,該 預處理程序是依據該帶通信號定位出多個峰值,對該等峰值取平均得到該第一閥值,並將超出該第一閥值的多個局部峰值取平均得到該第二閥值。 Preferably, the processing module first performs a pre-processing procedure, The pre-processing program locates a plurality of peaks according to the band-pass signal, averages the peaks to obtain the first threshold, and averages a plurality of local peaks exceeding the first threshold to obtain the second threshold.

較佳的,該處理模組完成該睡眠期間內的所有 信號分析後,累加所有劇烈振動指標的數量以得到一累計值,且將該累計值除以待測者的該睡眠期間以得到一睡眠呼吸中止嚴重指數。 Preferably, the processing module completes all of the sleep period After the signal analysis, the number of all the severe vibration indicators is accumulated to obtain an accumulated value, and the accumulated value is divided by the sleep period of the person to be tested to obtain a sleep breathing abort severity index.

較佳的,該濾波模組的帶通頻率範圍為50至100赫茲,此範圍依感測裝置的不同可以調整。 Preferably, the bandpass frequency of the filter module ranges from 50 to 100 Hz, and the range can be adjusted according to different sensing devices.

本發明阻塞性睡眠呼吸中止嚴重程度量測方法包含下述步驟:(a)取得一待測者的上呼吸道在一睡眠期間內的一振動感測信號;(b)對該振動感測信號進行帶通濾波得到一帶通信號;(c)對該帶通信號找出在一時間間隔內低於一第一閥值的一呼吸中止或低通氣之信號,以及對該呼吸中止或低通氣之信號後的信號判斷是否具有大於一第二閥值的一劇烈振動信號,且該第二閥值大於該第一閥值,若有,則對該劇烈振動信號標示為一劇烈振動指標;及(d)輸出步驟(c)之處理結果。 The method for measuring the severity of obstructive sleep breathing in the present invention comprises the steps of: (a) obtaining a vibration sensing signal of a subject's upper respiratory tract during a sleep period; (b) performing the vibration sensing signal Bandpass filtering results in a bandpass signal; (c) finding a signal for a pause or hypopnea that is below a first threshold for a time interval and a signal to suspend or ventilate the breath The subsequent signal determines whether there is a severe vibration signal greater than a second threshold, and the second threshold is greater than the first threshold, and if so, the severe vibration signal is marked as a severe vibration indicator; and (d The result of the processing of step (c) is output.

較佳的,在步驟(b)及步驟(c)之間還包含下述步驟:依據該帶通信號定位出多個峰值,對該等峰值取平均得到該第一閥值,並將超出該第一閥值的多個局部峰值取平均得到該第二閥值。 Preferably, between step (b) and step (c), the method further comprises: positioning a plurality of peaks according to the band pass signal, averaging the peak values to obtain the first threshold value, and exceeding the A plurality of local peaks of the first threshold are averaged to obtain the second threshold.

較佳的,步驟(c)還包括:於完成該睡眠期間內的所有信號分析後,累加所有劇烈振動指標的數量以得到一累計值,且將該累計值除以待測者的該睡眠期間以得到一睡眠呼吸中止嚴重指數。 Preferably, the step (c) further comprises: after completing all the signal analysis during the sleep period, accumulating the number of all the severe vibration indicators to obtain an accumulated value, and dividing the accumulated value by the sleep period of the test subject In order to get a sleep breathing suspension severity index.

本發明阻塞性睡眠呼吸中止嚴重程度量測裝置與方法之功效在於:將待測者取得的振動感測信號經帶通 濾波後,藉由設定時間間隔內低於第一閥值的判斷方式區分出上呼吸道阻塞導致的呼吸中止,以及設定高於第一閥值的第二閥值的判斷方式區分出是否因用力呼吸導致的產生劇烈振動,因此,除了可對打鼾有效判斷是否呼吸中止所產生之外,也可依據待測者的整個睡眠期間呼吸中止事件發生頻率而評估其嚴重程度。 The function of the obstructive sleep breathing suspension severity measuring device and method of the present invention is that the vibration sensing signal obtained by the test subject is bandpassed. After filtering, distinguishing the breathing stop caused by the upper airway obstruction by determining the lower threshold value in the set time interval, and determining the second threshold value higher than the first threshold value to distinguish whether to breathe by force The resulting violent vibration is generated. Therefore, in addition to the effective judgment of whether or not the snoring is generated, the severity of the apnea event may be evaluated according to the frequency of occurrence of the apnea event during the entire sleep period of the subject.

100‧‧‧阻塞性睡眠呼吸中止嚴重程度量測裝置 100‧‧‧ Obstructive sleep breathing suspension severity measuring device

11‧‧‧濾波模組 11‧‧‧Filter module

10‧‧‧處理模組 10‧‧‧Processing module

15‧‧‧輸出模組 15‧‧‧Output module

12‧‧‧放大電路 12‧‧‧Amplification circuit

13‧‧‧類比數位轉換器 13‧‧‧ Analog Digital Converter

14‧‧‧微處理器 14‧‧‧Microprocessor

2‧‧‧記錄模組 2‧‧‧recording module

3‧‧‧感測模組 3‧‧‧Sensing module

201~205‧‧‧步驟 201~205‧‧‧Steps

301~308‧‧‧步驟 301~308‧‧‧Steps

501、502‧‧‧事件 501, 502‧‧ events

本發明之其他的特徵及功效,將於參照圖式的實施方式中清楚地呈現,其中:圖1是一系統示意圖,說明本發明阻塞性睡眠呼吸中止嚴重程度量測裝置之較佳實施例;圖2是一流程圖,說明本發明阻塞性睡眠呼吸中止嚴重程度量測方法之預處理程序;圖3是一流程圖,說明本發明阻塞性睡眠呼吸中止嚴重程度量測方法之較佳實施例。 Other features and advantages of the present invention will be apparent from the embodiments of the present invention, wherein: FIG. 1 is a system diagram illustrating a preferred embodiment of the obstructive sleep apnea severity measuring apparatus of the present invention; 2 is a flow chart illustrating a pre-processing procedure of the method for measuring the severity of obstructive sleep breathing in the present invention; FIG. 3 is a flow chart illustrating a preferred embodiment of the method for measuring the severity of obstructive sleep breathing in the present invention. .

參閱圖1,本發明之較佳實施例中,阻塞性睡眠呼吸中止嚴重程度量測裝置100包含一感測模組3、一記錄模組2、一濾波模組11、一處理模組10及一輸出模組15;處理模組10具有一放大電路12、一類比數位轉換器13及一微處理器14。 Referring to FIG. 1 , in the preferred embodiment of the present invention, the obstructive sleep apnea severity measuring device 100 includes a sensing module 3 , a recording module 2 , a filtering module 11 , a processing module 10 , and An output module 15; the processing module 10 has an amplifying circuit 12, an analog digital converter 13 and a microprocessor 14.

在本實施例中,感測模組3是一放置在待測者5的上呼吸道以量測打鼾的壓電感測器(Piezo Snore Sensor),其他實施例中,也能夠使用麥克風量到的振動聲波信號來代替;濾波模組11的帶通頻率範圍為50至100赫茲,亦可配合帶阻濾波將背景雜訊60赫茲濾除。輸出模組15可以是一顯示裝置、一列印裝置或其他類型的提示裝置。 In this embodiment, the sensing module 3 is a piezoelectric detector placed on the upper airway of the subject 5 to measure the snoring (Piezo Snore) Sensor), in other embodiments, the vibration sound wave signal of the microphone amount can also be used instead; the band pass frequency of the filter module 11 ranges from 50 to 100 Hz, and the background noise can be filtered by the background noise 60 Hz. . The output module 15 can be a display device, a printing device or other type of prompting device.

本發明阻塞性睡眠呼吸中止嚴重程度量測方法 包含下述步驟:感測模組3取得一待測者5的上呼吸道在一睡眠期間內的一振動感測信號(步驟201);濾波模組11對該振動感測信號進行帶通濾波得到一帶通信號(步驟202);處理模組10對該帶通信號以放大電路12放大並以類比數位轉換器13轉換為數位信號。 Method for measuring the severity of obstructive sleep breathing in the present invention The method includes the following steps: the sensing module 3 obtains a vibration sensing signal of the upper respiratory tract of the subject 5 during a sleep period (step 201); and the filtering module 11 performs band-pass filtering on the vibration sensing signal. A band pass signal (step 202); the processing module 10 amplifies the band pass signal by the amplifying circuit 12 and converts it into a digital signal by the analog bit converter 13.

本發明的設計,是依據打鼾類型包括呼吸中止 (apnea)事件501以及低呼吸(hypopnea)事件502來觀察,前述事件501、502結束時都會產生劇烈且連續的振動(burst),這種劇烈且連續的振動是因為患者在長時間上呼吸道阻塞中無法吸到氧氣,使得患者就會越用力吸氣。當上呼吸道阻塞消失時,這時就會因為過度用力吸氣而產生劇烈的振動。因為這種劇烈的振動的產生是發生在呼吸中止事件501和低呼吸事件502結束之後,所以就將這種呼吸中止後的連續振動視為一個劇烈振動(Burst)事件的發生。 The design of the present invention is based on the type of snoring including breathing suspension (apnea) event 501 and hypopnea event 502 are observed, and the aforementioned events 501, 502 end up with a sharp and continuous burst of vibration, which is due to the patient's prolonged upper airway obstruction. No oxygen can be absorbed, so the patient will inhale more. When the upper airway obstruction disappears, it will cause severe vibrations due to excessive force inhalation. Since this violent vibration occurs after the end of the breath-stop event 501 and the low-breath event 502, the continuous vibration after the pause of the breath is regarded as the occurrence of a violent vibration event.

參閱圖2,為了區隔出無呼吸及劇烈且連續的振 動,微處理器14必須先進行一預處理程序,該預處理程序是依據該帶通信號定位出多個峰值(步驟203),對該等峰值取平均得到一第一閥值(步驟204),並將超出一第一閥值的 多個局部峰值取平均得到該第二閥值(步驟205),第二閥值將大於第一閥值。 See Figure 2 for the purpose of distinguishing between no breathing and intense and continuous vibration The microprocessor 14 must first perform a pre-processing procedure for locating a plurality of peaks based on the bandpass signal (step 203), averaging the peaks to obtain a first threshold (step 204). And will exceed a first threshold A plurality of local peaks are averaged to obtain the second threshold (step 205) and the second threshold will be greater than the first threshold.

參閱圖3,在分析時,輸入該帶通信號(步驟 301),微處理器14對該帶通信號找出在一時間間隔(如:10秒)內低於一第一閥值的一呼吸中止或低通氣之信號(步驟302),以及對該呼吸中止或低通氣之信號後的信號判斷是否具有大於一第二閥值的一劇烈振動信號(步驟303)?若有,則對該劇烈振動信號標示為一劇烈振動指標(步驟304);完成該睡眠期間內的所有信號分析(步驟305)?若是,累加所有劇烈振動指標的數量以得到一累計值(步驟306),將該累計值除以待測者的該睡眠期間以得到一睡眠呼吸中止嚴重指數(步驟307),最後,藉由輸出模組15輸出睡眠呼吸中止嚴重指數(步驟308)。 Referring to Figure 3, during the analysis, the bandpass signal is input (step 301), the microprocessor 14 finds a signal of a breath suspension or hypopnea below a first threshold value (step 302) for the band pass signal during a time interval (eg, 10 seconds), and the breathing The signal after the signal of suspension or hypopnea determines whether there is a severe vibration signal greater than a second threshold (step 303)? If so, the severe vibration signal is indicated as a severe vibration indicator (step 304); all signal analysis during the sleep period is completed (step 305)? If so, the amount of all the severe vibration indicators is accumulated to obtain an accumulated value (step 306), and the accumulated value is divided by the sleep period of the person to be tested to obtain a sleep breathing abort severity index (step 307), and finally, by output The module 15 outputs a sleep breathing abort severity index (step 308).

除了前述方法之外,也能夠使用斜率變化來判 斷劇烈振動(Burst)指標。 In addition to the aforementioned methods, it is also possible to use the slope change to judge Break the violent vibration (Burst) indicator.

綜上所述,本發明的阻塞性睡眠呼吸中止嚴重 程度量測裝置100與方法之功效在於:將待測者5取得的振動感測信號經濾波模組11帶通濾波後,藉由微處理器14設定時間間隔內低於第一閥值的判斷方式區分出上呼吸道阻塞導致的呼吸中止,以及設定高於第一閥值的第二閥值的判斷方式區分出是否因用力呼吸導致的產生劇烈振動,因此,除了可對打鼾有效判斷是否呼吸中止所產生之外,也可依據待測者5的整個睡眠期間打鼾事件發生頻率而評估其嚴重程度,故確實能達成本發明之目的。 In summary, the obstructive sleep breathing of the present invention is severely interrupted. The effect of the degree measuring device 100 and the method is that the vibration sensing signal obtained by the subject 5 is filtered by the filtering module 11 and then determined by the microprocessor 14 to be lower than the first threshold in the time interval. The method distinguishes the breathing suspension caused by the upper airway obstruction, and the judgment manner of setting the second threshold value higher than the first threshold value to distinguish whether the severe vibration is caused by the forced breathing, and therefore, in addition to the effective determination of whether the breathing is suspended or not, In addition to the occurrence, the severity of the snoring event during the entire sleep period of the test subject 5 can also be evaluated, so that the object of the present invention can be achieved.

惟以上所述者,僅為本發明之較佳實施例而已,當不能以此限定本發明實施之範圍,即大凡依本發明申請專利範圍及專利說明書內容所作之簡單的等效變化與修飾,皆仍屬本發明專利涵蓋之範圍內。 The above is only the preferred embodiment of the present invention, and the scope of the present invention is not limited thereto, that is, the simple equivalent changes and modifications made by the patent application scope and patent specification content of the present invention, All remain within the scope of the invention patent.

100‧‧‧阻塞性睡眠呼吸中止嚴重程度量測裝置 100‧‧‧ Obstructive sleep breathing suspension severity measuring device

10‧‧‧處理模組 10‧‧‧Processing module

11‧‧‧濾波模組 11‧‧‧Filter module

12‧‧‧放大電路 12‧‧‧Amplification circuit

13‧‧‧類比數位轉換器 13‧‧‧ Analog Digital Converter

14‧‧‧微處理器 14‧‧‧Microprocessor

15‧‧‧輸出模組 15‧‧‧Output module

2‧‧‧記錄模組 2‧‧‧recording module

3‧‧‧感測模組 3‧‧‧Sensing module

5‧‧‧使用者 5‧‧‧Users

501、502‧‧‧事件 501, 502‧‧ events

Claims (9)

一種阻塞性睡眠呼吸中止嚴重程度量測裝置,包含:一感測模組,取得一待測者的上呼吸道在一睡眠期間內的一振動感測信號;一濾波模組,對該振動感測信號進行帶通濾波得到一帶通信號;一處理模組,依據該帶通信號量化代表呼吸中止事件或低通氣事件結束後產生的劇烈振動,並依據其數量對於阻塞性睡眠呼吸中止的嚴重程度進行評估;及一輸出模組,輸出該處理模組之處理結果。 An obstructive sleep breathing suspension severity measuring device comprises: a sensing module, obtaining a vibration sensing signal of a upper respiratory tract of a person to be tested during a sleep period; and a filtering module for sensing the vibration The signal is bandpass filtered to obtain a bandpass signal; a processing module quantizes the severe vibration generated after the end of the respiratory suspension event or the hypopnea event according to the bandpass signal, and according to the number thereof, the severity of the obstructive sleep breathing suspension Evaluation; and an output module that outputs the processing result of the processing module. 如請求項1所述的阻塞性睡眠呼吸中止嚴重程度量測裝置,其中,該處理模組之量化處理是對該帶通信號找出在一時間間隔內低於一第一閥值的一呼吸中止或低通氣之信號,以及對該呼吸中止或低通氣之信號後的信號判斷是否具有大於一第二閥值的一劇烈振動信號,且該第二閥值大於該第一閥值,若有,則對該劇烈振動信號標示為一劇烈振動指標。 The obstructive sleep apnea suspension severity measuring apparatus according to claim 1, wherein the processing module quantizes the channel to find a breath that is lower than a first threshold value in a time interval. The signal of suspension or hypopnea, and the signal after the signal of the suspension or hypopnea is judged whether there is a severe vibration signal greater than a second threshold, and the second threshold is greater than the first threshold, if any , the severe vibration signal is marked as a severe vibration indicator. 如請求項2所述的阻塞性睡眠呼吸中止嚴重程度量測裝置,其中,該處理模組先進行一預處理程序,該預處理程序是依據該帶通信號定位出多個峰值,對該等峰值取平均得到該第一閥值,並將超出該第一閥值的多個局部峰值取平均得到該第二閥值。 The obstructive sleep apnea suspension severity measuring device according to claim 2, wherein the processing module first performs a pre-processing procedure, wherein the pre-processing program locates a plurality of peaks according to the band-pass signal, and the same The peak averaging obtains the first threshold and averages a plurality of local peaks that exceed the first threshold to obtain the second threshold. 如請求項3所述的阻塞性睡眠呼吸中止嚴重程度量測裝置,其中,該處理模組完成該睡眠期間內的所有信號分 析後,累加所有劇烈振動指標的數量以得到一累計值,且將該累計值除以待測者的該睡眠期間以得到一睡眠呼吸中止嚴重指數。 The obstructive sleep apnea suspension severity measuring device of claim 3, wherein the processing module completes all signal points during the sleep period After the analysis, the number of all the severe vibration indicators is accumulated to obtain a cumulative value, and the accumulated value is divided by the sleep period of the person to be tested to obtain a sleep breathing abort severity index. 如請求項4所述的阻塞性睡眠呼吸中止嚴重程度量測裝置,其中,該濾波模組的帶通頻率範圍為50至100赫茲。 The obstructive sleep apnea suspension severity measuring device according to claim 4, wherein the filter module has a band pass frequency ranging from 50 to 100 Hz. 一種阻塞性睡眠呼吸中止嚴重程度量測方法,包含下述步驟:(a)取得一待測者的上呼吸道在一睡眠期間內的一振動感測信號;(b)對該振動感測信號進行帶通濾波得到一帶通信號;(c)對該帶通信號找出在一時間間隔內低於一第一閥值的一呼吸中止或低通氣之信號,以及對該呼吸中止或低通氣之信號後的信號判斷是否具有大於一第二閥值的一劇烈振動信號,且該第二閥值大於該第一閥值,若有,則對該劇烈振動信號標示為一劇烈振動指標;及(d)輸出步驟(c)之處理結果。 A method for measuring the severity of obstructive sleep breathing, comprising the steps of: (a) obtaining a vibration sensing signal of a subject's upper respiratory tract during a sleep period; (b) performing the vibration sensing signal Bandpass filtering results in a bandpass signal; (c) finding a signal for a pause or hypopnea that is below a first threshold for a time interval and a signal to suspend or ventilate the breath The subsequent signal determines whether there is a severe vibration signal greater than a second threshold, and the second threshold is greater than the first threshold, and if so, the severe vibration signal is marked as a severe vibration indicator; and (d The result of the processing of step (c) is output. 如請求項6所述的阻塞性睡眠呼吸中止嚴重程度量測方法,在步驟(b)及步驟(c)之間還包含下述步驟:依據該帶通信號定位出多個峰值,對該等峰值取平均得到該第一閥值,並將超出該第一閥值的多個局部峰值取平均得到該第二閥值。 The method for measuring the severity of obstructive sleep apnea suspension according to claim 6, further comprising the step of: locating a plurality of peaks according to the band pass signal between the steps (b) and (c), The peak averaging obtains the first threshold and averages a plurality of local peaks that exceed the first threshold to obtain the second threshold. 如請求項6或7所述的阻塞性睡眠呼吸中止嚴重程度量 測方法,其中,步驟(c)還包括:於完成該睡眠期間內的所有信號分析後,累加所有劇烈振動指標的數量以得到一累計值,且將該累計值除以待測者的該睡眠期間以得到一睡眠呼吸中止嚴重指數。 The amount of obstructive sleep apnea discontinuity as described in claim 6 or 7 The measuring method, wherein the step (c) further comprises: after completing all the signal analysis during the sleep period, accumulating the number of all the severe vibration indicators to obtain an accumulated value, and dividing the accumulated value by the sleep of the test subject During the period to get a sleep breathing stop serious index. 如請求項8所述的阻塞性睡眠呼吸中止嚴重程度量測方法,其中,帶通濾波的頻率範圍為50至100赫茲。 The obstructive sleep apnea suspension severity measuring method according to claim 8, wherein the band pass filtering frequency ranges from 50 to 100 Hz.
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