200812544 九、發明說明： 【發明所屬之技術領域】 關於—種㈣監控人體生理參數及安全狀 艺種應用於配戴在-受測者身上的-監控 • 纽’觸岭受測者祕非運驗 ί ίΐΙΓ數具有異常變化，μ生不規律數據 傳送至方式’透過—網路閘道器對外發出通報， 傳运至醫療院所或服務章去 前生理狀況。 供知整編使用者之當 【先前技術】 高齡人咖往觸和長壽，加上全 勢，使得=齡=，’人口老年化相應有不斷增加的趨 ^ 1 口所帶麵社會縣及所轉之問題，將 3=二此，成年子女於就學或就業時，而無法抽身 顧豕中長輩之際’便相當擔心老年人之疾病 及备療照顧的品質。有鏜於此，業者人= 通^_贿__步，以及行動 發達，透過無_路及網_路連接至 所、麵院麵護中心轉翁_缺乏 式，病情監視資訊系統來做即時監視病情之模 大了做騎院病房之延伸，在醫療#源共享下，方异、 義敍侧軸病患，_财醫療健效率及病患^ 5 200812544 活率，上述之許多應用於遠距居家照護及遠距醫療服務領 域2例子’不但可以解決全球各先進國家為解決高齡人口 戶^來的社會問題’且協助各醫療院所達成資源共享及節 f成本的目標，並縣家_及醫魏財效推廣至醫療 資源不足的偏遠地區。 、 著σ式生_、生理感測技術、資料傳輸技術的發屬 $網路的#及，許多學者便試著建立日常絲的行為榻 =、疾病、生理機能退化之間的關連性，再加上最新研究 ::ί;項以預判高齡者健康狀況變化為目的的遠端監 二—九计畫，其中提到高齡者從健康、獨立到生病、虛弱 ^有-轉移的過程，然而這個精細、微妙的過程不易 ::顧者w生、甚至南齡者本身所察覺。因此他們嘗試 迅月從-些簡單的監測，如高齡者的活動力、血氧、血慶、 =頻率、心跳醉如等，乃至於高齡者的睡眠模 式都能_先判知高齡者魏性健餘關改變，並且由 贿動所得狀㈣以快速且寬頻的電信網 二，將，醫療資訊全面電子化，並建構—套能夠整合文 容的遠距居家照護 或喊西療服務的軟體，從而發㈣#、及時、合乎成本 的通知並進行處理，以減低 好的生活品質。 4低一者_率鱗觸立、良 動作Γ::於受測者於該監测行動下產生大幅度之肢體 ==τ度之肢體動作常因為該監測行動使用不 接觸人體位置之測試手段，_之顺方式，而使得 200812544 =1=無法準麵伽_ 率’取得錯誤之數據ϋ τ以手〜跳頻 警報後續處理之資源。㈣;^控卿，浪_家醫療及 體生理參數及安全狀態之 ^1十出一種隨身監控人 -醫魏_目標，以㈣Λ現減縣職或遠距 - 絲生理内或外在傷心=自/遷徙或旅遊的過程中， 心汉唇的一重要課題。 【發明内容】 箱==::行，運動時，無法準 誤之數據，而誤導監^ 得錯200812544 IX. Description of the invention: [Technical field to which the invention belongs] About - (4) Monitoring human physiological parameters and safety patterns Applied to the wearer--monitoring of the subject ί ΐΙΓ 具有 具有 具有 具有 具有 具有 具有 具有 具有 具有 具有 具有 具有 具有 具有 具有 具有 具有 具有 μ μ μ μ μ μ μ μ μ μ μ μ μ μ μ μ μ μ μ μ μ μ μ For the knowledge of the user of the reorganization [previous technology] The age of the elderly and the longevity, coupled with the full potential, so that = age =, 'population aging is corresponding to the increasing trend ^ 1 mouth with the social county and the transfer The problem will be 3=2, when adult children are unable to take care of their elders when they are studying or working, they are quite worried about the quality of the elderly and the quality of care. In this case, the industry person = pass ^_ bribe __ step, and the action is developed, through the _ road and network _ road to the station, the face hospital care center to turn _ _ lack, the disease monitoring information system to do instant Surveillance of the disease model is a big extension of the riding ward, under the medical source sharing, the side, the right side of the disease, the health and efficiency of patients and patients ^ 5 200812544 live rate, many of the above applies to the far 2 examples from the field of home care and telemedicine services can not only solve the social problems of the advanced countries in the world to solve the problem of the elderly population, but also help the medical institutions to achieve resource sharing and cost savings, and the county _ The medical and financial benefits are extended to remote areas with insufficient medical resources. With σ-type _, physiological sensing technology, data transmission technology issued by #network # and many scholars try to establish the relationship between daily silk behavior, disease, physiological function degradation, and then In addition, the latest research:: ί; items for the purpose of predicting the changes in the health status of the elderly, the remote monitoring of the second nine plans, which refers to the elderly from health, independence to illness, weakness ^ have - transfer process, however This delicate, subtle process is not easy:: the person who is born, even the southern age itself is aware. Therefore, they try the simple monthly monitoring, such as the activity of the elderly, blood oxygen, blood, frequency, heartbeat, etc., and even the sleep mode of the elderly can be judged first-time senior Wei Weijian The change, and the bribery of the income (four) to the fast and broadband telecommunications network 2, the medical information is fully electronic, and the construction - a set of software that can integrate the long-range home care or shouting western treatment services, thus (4) #, timely and cost-effective notice and processing to reduce the quality of life. 4The lower one _ rate scales touch, good action Γ:: The subject's body movements with large limbs ==τ degrees under the monitoring action often because the monitoring action uses the test method of not touching the human body position , _ 顺 顺 , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , (4); ^ control, wave _ home medical and physical physiological parameters and safety status ^ 1 out of a portable monitoring person - medical Wei _ target, to (four) Λ now reduce county or remote - silk physiology or external sad = An important subject of heart and mind in the process of self-migration or tourism. [Summary of the Invention] Box ==:: line, when moving, the data cannot be misjudged, and misleading is wrong.
努力研九與只驗，終於開發設計出本發明的一種隨身監控 =生醇數及安全狀態之方法，敏透贼測者運動= 悲契否之分際，而分別判斷運動狀態下之最新的移動資訊 疋否^常；或非運動狀態下之各該生理參數是否規律，以 在^移動資訊或不規律之生理參數時，並透過無線網路 方式，料發出通報，實現即時監控人體之安全狀態。-本發明之一目的’係提供一種隨身監控人體生理來數 及安全狀態之方法，該方法係應用於配戴至一受測者身體 上之-監控褒置’該監控裝置藉由接收該受測者身體之複 數個移動資訊及複數個生理參數，轉續監魏受測者^ 體是否處於安然無恙，其中藉由該等移動資訊，判斷該受 測者是否處於-運動狀態，若該受測者並非處於運動Z 7 200812544 恶，則判斷各該生理參數是否符合該監控裝置内分別預設 之-正常生理鮮，若各該生理參數不符合對應之該正常 生理標準，並以無線方式，透過一網路閘道器，便對外發 出-第-預警通報信號至醫療院所或服務#者，供其囊整 並監控朗者之當前生雜況。域，無論受測者身處何 處，只要受測者本身健康亦有異f，便可對外發㈣報以 通知相關醫療院所或服務業者。Efforts to study the nine and only test, and finally developed a method of portable monitoring = raw alcohol number and safety status of the present invention, sensitive thief tester movement = sorrow and deny, and respectively judge the latest state of motion Whether the mobile information is normal or whether the physiological parameters in the non-exercise state are regular, in order to move the information or the irregular physiological parameters, and send notifications through the wireless network, realizing the real-time monitoring of the human body. status. - an object of the present invention is to provide a method for monitoring the physiological number and safety state of a human body, the method being applied to a monitoring device disposed on a body of a subject by receiving the receiving device The plurality of movement information and a plurality of physiological parameters of the body of the tester are continuously monitored, and whether the subject is in an innocent state, wherein the mobile information is used to determine whether the subject is in a state of motion, if the subject is tested If the person is not in motion Z 7 200812544, it is determined whether each of the physiological parameters meets the preset normal physiological freshness in the monitoring device, and if the physiological parameters do not meet the corresponding physiological standard, and are wirelessly transmitted through A network gateway device sends out a -first-warning notification signal to the medical institution or service # for the purpose of encapsulating and monitoring the current situation of the person. The domain, regardless of where the subject is located, can be sent to the relevant medical institution or service provider as long as the subject is healthy and different.
本發明之另-目的巾，若該監控裝置判斷出該受測者 處於-運動狀||下，職監控裝置便對該受測者之移動資 訊進行分析，並_該移動資訊是否符合職之-異常移 置之通知 =準則2監控Ϊ置判斷出該移動資訊符合該異常移動 ‘準則啦為—非自紐墜落之狀態以 透過一網路閘道器，對外發出-第二預警通報信號 減1論❹i者身處贿，只要受财處於轉自主性 B讀態’相關驗院所或服務f者便可接收該監控裝 ㈣為，貴審查委員能對本發明的目的、技術特徵及玉 二式，轉奸實施心 【實施方式】According to another embodiment of the present invention, if the monitoring device determines that the subject is in a motion-like state, the job monitoring device analyzes the movement information of the subject, and the mobile information is in compliance with the job. - Notification of abnormal displacement = criterion 2 The monitoring device determines that the mobile information meets the abnormal movement 'the criterion is - the state of the non-self-fall is transmitted through a network gateway, and the second warning notification signal is subtracted 1 ❹ 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者 者Style, transfer rape implementation [Implementation]
本發明係-種㈣餘人體生 法’請參閱第!圖所示，係—種應用於可配 ㈣上之-缝如，物倾繼H 相之碰悔動魏（如：粉或跳躍） 200812544 及禝數個生理參數(如：呼吸、心跳或溫 測該受測者身體是否安然無恙，其巾該_^12 析5亥等移動資訊’_該受測者1GG是否處於私刀 態，當判斷出該受測者⑽並非處於運動狀能時 狀 控裝置1進而判斷各該生理參數是否符合該;控裝置= 分別預設之一正常生理標準咖，若各該生理參數所 對應之正常生理標畢>占 、斤The invention is a kind of (four) remaining human living method 'please refer to the figure! The figure is applied to the matching (4)-seam, such as the object, the H-phase of the repentance Wei (such as: powder or jump) 200812544 and several physiological parameters (such as: breathing, heartbeat or temperature test whether the subject's body is safe and sound, its towel _^12 analysis 5 Hai and other mobile information'_ whether the subject 1GG is in a private state, when Judging whether the subject (10) is not in a sporty state, the state control device 1 further determines whether each of the physiological parameters conforms to the control device; the control device=predetermines one of the normal physiological standard coffees respectively, if the physiological parameters corresponding to the physiological parameters respectively Standardized >
H、酋哭H線方式，透過一網路 閘l (Gateway)，對外發出可供辨識發送對象之一第一 預警通報錢至醫魏贼畴絲（如：紐服務業者 或養老院）’,供其彙整並監控使用者之當前生理狀況。、 反之，當該監控裝置1判斷出該受測者100處於該運 動狀態時’ _監控裝置1便對該等移_訊進行分析， 判斷該受測者100是否驟然異常移動（如：臥倒或墜落）， 並停止任何義，若是，龍監控裝置1便定A該受測者 100，於-非自主性墜落(如：身體快速傾倒且久队不起） 之狀態，便以無線方式，透過一網路閘道器_轉），對 外發出-第二預警通報信號至醫療院所或服務業者（如： &控服務業者或養老院），供其彙整並監控使用者之當前 生理狀況。 本發明之一較佳實施例中，復請參閱第1圖所示，該 監控裝置1包括有-動佩應模組U (如：三維感應探測 态，3D Direction Sensor)、一生理參數感應模組21(如： /皿度卩十、jk壓升）、一資料區3i(j)atabase)、一訊號放大 器 41(Amplifier)及—微處理器 51(Micr〇 c〇ntr〇ller)， 9 200812544 該動作感應模組11與該微處理器51及該資料區31相連 接，可於該受測者100移動或傾斜時，由人體所產生之擺 動’而持續收集複數個位移數據（如：位移距離及傾斜角 度）’該動作感應模組U可將該等位移數據經計算處理 • 後，而獲得該等位移資訊（如：位移加速度、位移方向）， _ 以準確地分辨該受測者100瞬間朝地面傾倒，或正常朝前 上矛夕，之差別，該生理夢數感應模組幻與該微處理器Μ、 該訊號放大器41及該資料區31相連接，可至少包括一心 . 脈頻率讀取部211(如：版咖贈仙抑咖，聊及― 212(Micro Motion Detector Sensor)， 該心脈頻率讀取部211可由該受測者⑽心臟軸所產生 ^動，而持續地收集該受測者⑽之心跳振幅，再由_ 定時間内（如：60秒）算出該受測者1〇〇之一心跳頻率 (Heart Rate) ’而該呼吸頻率讀取部212可由該受測者 副於呼吸時所產生的起伏，而持續地計數該受測者⑽ 呼吸之次數，再由一定時間（如：6〇秒）内算出該受測者 1〇〇之-呼吸頻率⑽印㈣^鉍小而該訊號放大哭 41可將由該受測者100所接收之心臟跳動及呼吸起伏所產 生之震動純放大，叫免顺叙崎驗微弱，而無 法被加以計算處理。 、 該資料區31與該微處理器51相連接，分別記錄有_ 組平均生理參數310、-組正常生理標準32〇、一組異常 動標準330及複數筆受測者資料_，該平均生理參數^ 可由該監控裝置1平常由該受測者1〇〇取得之資料而按時 200812544 更新，該正常生理標準320包括依據正常人體生理參數所 預設之一正常心跳次數範圍321 (如：每分鐘心跳頻率介 於60-100下）及一正常呼吸次數範圍322 (如：每分鐘呼 吸頻率介於12 - 16下），該異常移動標準330近似人體 因非自主性墜落所產生之移動資訊（如：重力加速度值， " &或傾斜異常角度，0b)，而該等受測者資料340包括有 該監控裝置1的一識別碼（ID)、一受測者1〇〇的基本資 料（Patient Details)及複數個相關連絡人（如：親人、 ® 醫生或醫療院所)的連絡資料(如··電話號碼或郵件位址）。 該監控裝置1另外可連接-無線發信模組(wireless transmit module)61 ’該無線發信模組μ可於該監控裝置 1判斷出最新的移動資訊具有異常變化，或⑽生理參數 不符規律時，對外部之一網路閘道器71進行發出第一或二 預警通報信號，以便該網路閘道器71將該預警通報信號依 照預定之機制，通知遠端之醫療院所或服務業者，由於該 ⑩[控裝置1騎之網路漫遊及触職互祕統已有習知 之㈣，且並㈣涉縣發日狀賴倾，故本說明書在 此便不加以予綴述。 在此需特別注意者’乃受測者100在開始使用該監控 装置1時，該監控裝置1可由該資料區31上紀錄下列資料： ⑴該監控裝置1 _啊’㈣該監控裝置i之唯 -產品型號’受測者·由業者購驗，經登記亦為受測 者100專屬的個人識別碼； 200812544 醫生^測者⑽的基本資料及相關連絡人(如：親人、 該等資料係對細監控裝:1的^^ 二預警通報信號發生後，可==喝’以便該第一、 警通報信號巾之該監控裝置⑽該第一、二預 置1的受聰⑽及相關連絡=_碼，辨識出該監控裝 ㈣η平均生理參數310，受測者_於首次配戴該監H, the Emirates crying H-line mode, through a network gate l (Gateway), the first one to identify the sender of the first warning to send money to the medical Wei thief domain (such as: New service providers or nursing homes), for It integrates and monitors the user's current physiological condition. On the other hand, when the monitoring device 1 determines that the subject 100 is in the motion state, the monitoring device 1 analyzes the mobile device to determine whether the subject 100 suddenly moves abnormally (eg, lying down). Or fall), and stop any righteousness. If it is, the dragon monitoring device 1 will set A the subject 100, in a state of non-autonomous fall (such as: the body quickly dumps and the team can not afford), wirelessly, Through a network gateway _ turn), the second warning signal is sent to the medical institution or service provider (such as: & control service provider or nursing home) for collecting and monitoring the user's current physiological condition. In a preferred embodiment of the present invention, as shown in FIG. 1 , the monitoring device 1 includes a dynamic response module U (eg, a 3D Direction Sensor), a physiological parameter induction module. Group 21 (eg: / dish degree ten, jk pressure rise), a data area 3i (j) atabase), a signal amplifier 41 (Amplifier) and - microprocessor 51 (Micr〇c〇ntr〇ller), 9 200812544 The motion sensing module 11 is connected to the microprocessor 51 and the data area 31, and continuously collects a plurality of displacement data by the swing generated by the human body when the subject 100 moves or tilts (eg: Displacement distance and tilt angle) 'The motion sensing module U can calculate the displacement data to obtain the displacement information (eg, displacement acceleration, displacement direction), _ to accurately distinguish the subject 100 moments of falling toward the ground, or normal upwards, the difference is that the physiological dream sensor module is connected to the microprocessor Μ, the signal amplifier 41 and the data area 31, and may include at least one heart. The frequency reading unit 211 (for example, the coffee maker gives a gift to the coffee maker, chats And 212 (Micro Motion Detector Sensor), the heart rate frequency reading unit 211 can generate the heartbeat amplitude of the subject (10) by the heart axis of the subject (10), and then continuously collect the heartbeat amplitude of the subject (10). (For example, 60 seconds) Calculate one of the subject's heart rate (Heart Rate)' and the respiratory rate reading unit 212 can continuously count the fluctuations generated by the subject when the breathing is performed. Subject (10) The number of breaths, and then the patient is calculated for a certain period of time (eg, 6 seconds) - the respiratory rate (10) is printed (four) ^ 铋 small and the signal is amplified and crying 41 can be determined by the subject The vibration generated by the 100 heartbeats and respiratory fluctuations received by 100 is purely amplified, and the test is not weak and cannot be calculated. The data area 31 is connected to the microprocessor 51, and the _ group is recorded separately. The average physiological parameter 310, the normal physiological standard of the group 32, the abnormal movement standard 330, and the plurality of test subject data _, the average physiological parameter ^ can be obtained by the monitoring device 1 from the tester 1 And updated on time 200812544, the normal physiological standard 3 20 includes a normal heartbeat number range 321 according to normal human physiological parameters (eg, a heartbeat frequency of 60-100 per minute) and a normal respiratory rate range 322 (eg, a respiratory rate of 12 to 16 per minute). B), the abnormal movement criterion 330 approximates the movement information generated by the involuntary fall of the human body (eg, gravity acceleration value, "& or tilt abnormal angle, 0b), and the subject data 340 includes the An identification code (ID) of the monitoring device 1, a basic information of a subject, and a contact information of a plurality of related contacts (eg, a relative, a doctor or a medical institution) (eg, Phone number or mail address). The monitoring device 1 can additionally be connected to a wireless transmit module 61. The wireless transmitting module μ can determine that the latest mobile information has an abnormal change when the monitoring device 1 or (10) the physiological parameter does not conform to the law. Sending a first or second warning notification signal to one of the external network gateways 71, so that the network gateway 71 notifies the remote medical institution or service provider according to the predetermined mechanism. Since the 10 [control device 1 riding network roaming and contact with the secret system has been known (4), and (4) related to the county, the specification will not be stipulated here. In this case, it is necessary to pay special attention to the fact that when the monitoring device 100 starts to use the monitoring device 1, the monitoring device 1 can record the following information from the data area 31: (1) the monitoring device 1 _ ah ' (4) the monitoring device i - Product model 'tested by the operator, purchased by the tester is also the exclusive personal identification number of the testee 100; 200812544 Doctors (10) basic information and related contacts (such as: relatives, the data is correct Fine monitoring equipment: 1 ^ 2 two warning notification signal occurs, can = = drink 'to the first, the police signal to the monitoring device (10) the first and second preset 1 of the Cong Cong (10) and related contacts = _ code, identify the monitoring device (4) η average physiological parameter 310, the subject _ the first time wearing the supervision
控裝置1會立即取得並記錄該受測者100 料區3Γ :生理參數(如：呼吸、心跳或温度）以作為該資 ":1之_平均·參數⑽，並定 理芩數310。 當該監控裝置！被啟_，復請參閱第1圖所示，核 動作感應模組11開始對該受測者⑽進行資訊收集時，請 參閱弟2圖所示’該微處理器51便依下列步驟進行處理： ^2G1)使搞作感應模組u藉由該受測者⑽魏體 之目前擺動’持續收集觀之複數個第-位移數據（如： 位移距離及傾斜角度)； (202)使該動作感應模組丨丨對該等第一位移數據進 行計算後，可獲得受測者目狀位移魏（如：移動 方向及移動加速度）； (203)依據該位移資訊並判斷該受測者100軀體是否 持續產生位移，如··_—定時訂，其所產生之位移距 離是否大於零，若是，親行轉（綱），酬進行步驟 (205); 12 200812544 土（204)判斷受測者⑽處於運動狀態下 疋域於非自主性墜落狀II」之分析。 (205)判斷受測者⑽處於非運動狀態下，並對該爲 測者100進行各該生理參數之分析。 人、 士當該監控裝置^被啟動後，不止該動作感應模組心 違生理參數感應敎21開鱗❹槠⑽進行資訊收集， 當該生理參數缝敝21_較測者⑽進行資訊^The control device 1 immediately acquires and records the subject's 100 area 3: physiological parameters (such as: breathing, heartbeat or temperature) as the _average parameter (10) of the resource ":1, and determines the parameter 310. When the monitoring device! When the core motion sensing module 11 starts to collect information for the subject (10), please refer to the figure 2 shown in the figure 2, the microprocessor 51 is processed according to the following steps. : ^2G1) causes the sensor module u to continuously collect the plurality of first-displacement data (eg, displacement distance and tilt angle) by the subject (10) Wei body's current swing; (202) make the motion induction mode After calculating the first displacement data, the group can obtain the visual displacement of the subject (eg, moving direction and moving acceleration); (203) determining whether the body of the subject is continuous according to the displacement information. A displacement is generated, such as ··_—timed, whether the displacement distance generated by the timing is greater than zero, and if so, the pro-transfer (class), the remuneration step (205); 12 200812544 soil (204) judges that the subject (10) is in motion In the state of the state, the analysis of non-autonomous fall II. (205) Determining that the subject (10) is in a non-exercise state, and performing analysis of each of the physiological parameters on the subject 100. After the monitoring device is activated, more than the motion sensing module is in violation of the physiological parameter sensor 敎21 scalar ❹槠 (10) for information collection, when the physiological parameter is sewed 21_ compared to the tester (10) for information ^
時’請㈣第3圖所示，該微處理器51便依下列步驟進: 處理·· (301) 使該訊號放大器41可將由該受測者1卯所接 收之心臟跳動震動及呼吸起伏震動加以放大； (302) 藉由該訊號放大器41所放大之心臟跳動震 動’使該碰頻率讀取部211持續地收#受測者_之一 心跳振幅及一心跳次數； (303 )使該心脈頻率讀取部21】由一定時間内算出受 測者100之一心跳頻率；At the time of '4', the microprocessor 51 proceeds according to the following steps: Processing (301) The signal amplifier 41 can be used to receive the heartbeat vibration and respiratory fluctuations received by the subject. (302) The heartbeat vibration portion ' amplified by the signal amplifier 41 causes the collision frequency reading portion 211 to continuously receive one of the subject's heartbeat amplitudes and one heartbeat number; (303) making the heart The pulse frequency reading unit 21 calculates a heartbeat frequency of one of the subjects 100 by a predetermined time period;
(304)猎由6亥訊號放大器41所放大之呼吸起伏震 動，使該呼吸頻率讀取部212持續地計數受測者1〇()呼吸 之次數； (305) 使該呼吸頻率讀取部212由一定時間内算出受 測者100之一呼吸頻率； (306) 判斷是否對受測者1〇〇之各該生理參數進行分 析，若是，則進行步驟（307)，否則結束本流程。 13 200812544 (307)讀取該正常生理標準32〇之正常心跳次數範圍 321 ’判斷該心脈頻率讀取部211算出之心跳頻率是否介於 該正常心跳次數範圍321内，若是，則忽略本步驟^結 束本流程，否則進行步驟（3Q8); 、’ - (308)讀取該正常生理鮮320之正常呼吸次數範圍 — 322 ’判斷該呼吸頻率讀取部212所接收到之呼吸頻率是否 介於該正常呼吸次數範圍322内，若是，則忽略本步驟， 並結束本流程，否則進行步驟（3〇9); • (309)將代表「受測者100生理參數產生異常」之標 記包裹（Encapsulating)成一第一封包； 不 (310)讀取該等受測者資料34〇，將該監控裝置^的 識別碼、受測者100的基本資料及相關連 包裹（Encapsulating)成一第二封包； (311 )將該心跳頻率及呼吸頻率包裹 (Encapsulating)成一第三封包；及 (312)令該無線發信模組61對外發出夾帶有該第 一、一及二封包之一弟一預警通報信號。 * 狀「非自主性墜落狀態」之分析時，復請參閱第i圖所 示’該健職51 該等轉:魏是否符合該異常移動 )標準330 (如：重力加速度值，&或傾斜異常角度，， 請參閱第4圖所示’該微處理器51便依下列步驟進行處理： (401)判斷该文測者loo現況之該等第一位移數據内 之-第-傾斜角度（0a)是否大於該異常移動標準33〇所 14 200812544 設定之-傾斜異常角度（叫，若是，則進行步驟（概）， 否則忽略本步驟，並結束本流程。 (402) 依據該異常移動標準33〇之一重力加速度值 ⑴’如：9. 80665 m / s2) ’並判斷該位移資訊内之一加 速度值U)是否超過該重力加速度值⑹，若是，則定 義該受測者進已發生驟然之異常移動（如：臥倒或墜落） 並進行步驟（403)，否則忽略本步驟，並 (403) 由該動作感應模組n於該受測者⑽躯_ 所收集最新之-第二位移數據中’判斷該第二位移數據中 傾斜角度⑻’是否於—定時間内回復成第一 傾斜角度（’若是，縣略本步驟，並結束本流程， 否則進行步驟（404); =將代表「受測_位處非自主性墜落狀態」 之-“§己包袤（Enca_ating)成—第四封包. (405)藉由該等受測者資料34〇，將該|_ 該識綱，者_基本龍及相_絡人的連絡^ 料包袤（Encapsulating)成一第五封包； 將該心跳頻率及呼吸頻率包 (Encapsulating)成一第六封包；及 四 ii〇L)封令 = 鱗發信模組61對外發出夾帶有該第 五及，、封包之一弟二預警通報信號。 由於’本發明係利用該動作感應模組U透過運動狀能 與否之分際’而分別判斷受測者彻處於 最 新的移動資訊衫規律，是否處於—非自紐Γ 200812544 體快速傾倒且久臥不起）之狀態；或該生理參數感應模组 21於受測者1〇〇處非運動狀態下之各該生理參數是否受挪 者100生理參數產生異常，以在產生異常之移動資訊^ 理參數時，以無線之方式對外發出預警通報信號，實現即 時監控人體之安全狀態，使得令病患在自由遷徙或旅遊的 過程中，若於生理内或外在傷害產生不適，可準確地發出 通報，以令後續處理機制得以適時地接手。(304) hunting the respiratory fluctuation vibration amplified by the 6-channel amplifier 41, so that the respiratory frequency reading unit 212 continuously counts the number of times the subject breaths (1); (305) making the respiratory frequency reading unit 212 The respiratory rate of one of the subjects 100 is calculated from a certain period of time; (306) It is determined whether the physiological parameters of the subject are analyzed, and if so, the step (307) is performed; otherwise, the flow is ended. 13 200812544 (307) reading the normal physiological standard 32 〇 normal heartbeat frequency range 321 'determines whether the heartbeat frequency calculated by the cardiac frequency reading unit 211 is within the normal heartbeat frequency range 321 , and if so, ignores this step ^ End the process, otherwise perform the step (3Q8);, '- (308) read the normal respiratory number range of the normal physiological fresh 320 - 322 'determine whether the respiratory frequency received by the respiratory frequency reading unit 212 is between The normal breathing frequency range 322, if yes, ignore this step, and end the process, otherwise proceed to step (3〇9); • (309) will represent the "tester 100 physiological parameter abnormality" mark package (Encapsulating a first packet; not (310) reading the subject data 34, the identification code of the monitoring device, the basic data of the subject 100 and the associated package (Encapsulating) into a second packet; 311) Encapsulating the heartbeat frequency and the respiratory frequency into a third packet; and (312) causing the wireless transmitting module 61 to issue an alert to the first one, one, and two packets Signal. * For the analysis of the "involuntary fall state", please refer to the figure "Is the health job 51: whether Wei meets the abnormal movement" standard 330 (such as: gravity acceleration value, & or tilt) The abnormal angle, please refer to FIG. 4 'The microprocessor 51 is processed according to the following steps: (401) determining the -th-tilt angle (0a) in the first displacement data of the current loo Is it greater than the abnormal movement standard? 33 12 14 200812544 Set the tilt abnormal angle (call, if yes, proceed to the step (general), otherwise ignore this step and end the process. (402) According to the abnormal movement standard 33〇 One of the gravitational acceleration values (1)' such as: 9.80665 m / s2) 'and determines whether one of the acceleration values U in the displacement information exceeds the gravitational acceleration value (6), and if so, defines that the subject has entered a sudden occurrence Abnormal movement (eg, lying down or falling) and proceeding to step (403), otherwise ignoring this step, and (403) collecting the latest-second displacement data from the motion sensing module n to the subject (10) In the 'determination of the second displacement data Whether the oblique angle (8)' returns to the first tilt angle within a certain time ('If yes, the county skips this step and ends the process, otherwise steps (404); = will represent the "independent _ position at the non-autonomous fall "State" - "§§包袤 (Enca_ating) into - the fourth packet. (405) With the subject information 34〇, the |_ the outline, the _ basic dragon and the phase _ Encapsulating into a fifth packet; encapsulating the heartbeat frequency and respiratory frequency into a sixth packet; and four ii〇L) sealing order = scale sending module 61 issuing the same 5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Whether it is in the state of - non-self-initial 200812544 body rapid dumping and long-term sleeplessness; or whether the physiological parameter sensing module 21 is in the non-moving state of the subject 1 该 whether the physiological parameter is affected by the mover 100 Physiological parameters produce anomalies to cause anomalous movement When the information is parameterized, the warning signal will be sent out in a wireless manner to realize the real-time monitoring of the safety status of the human body, so that the patient can be uncomfortable in the course of free migration or travel if the injury is uncomfortable in the physiological or external injury. A notification is issued to enable the follow-up mechanism to take over in a timely manner.
按，以上所述，僅為本發明的一最佳具體實施例，惟 本發明的特徵並不侷限於此，任何熟悉該項技藝者在本發 明領域内，可輕易思及的變化或修飾，皆應涵蓋在以下本 發明的申請專利範圍中。 【圖式簡單說明】 第1圖係本發明的系統架構示意圖； 弟2圖係動作感應模組開始對受測者進行資訊收集之處 理流程示意圖·， 第3圖係本發明之一最佳實施例中生理參數感應模組開 始對文測者進行資訊收集之處理流程示意圖；及 第4圖係本發明之一最佳實施例中當監控裝置對受測者 進行非自主性墜落狀態」分析之處理流程示意圖。 【主要元件符號說明】 監控裝置 動作感應模組 生理參數感應模組 心脈頻率讀取部 … 1 正常呼吸次數範圍··· 322 … 11 異常移動標準 ··· 33〇 … 21 受測者資料 ··· 340 … 211 訊號放大器 ··· 41 16 200812544 呼吸頻率讀取部 … 212 微處理器 … 51 資料區 … 31 無線發信模組 … 61 平均生理參數 … 310 網路閘道器 … 71 正常生理標準 … 320 受測者 … 100 正常心跳次數範圍… 321 17The above description is only a preferred embodiment of the present invention, but the features of the present invention are not limited thereto, and any changes or modifications that can be easily conceived in the field of the present invention are known to those skilled in the art. All of them should be covered by the following patent application scope of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic diagram of the system architecture of the present invention; FIG. 2 is a schematic diagram of a process flow for the motion sensing module to start collecting information on a subject. FIG. 3 is a best implementation of the present invention. In the example, the physiological parameter sensing module starts a process flow for collecting information on the test subject; and FIG. 4 is a analysis of the non-autonomous fall state of the test device in the preferred embodiment of the present invention. Process flow diagram. [Explanation of main component symbols] Monitoring device motion sensing module Physiological parameter sensing module Cardiac frequency reading section... 1 Normal breathing frequency range··· 322 ... 11 Abnormal movement standard··· 33〇... 21 Subject information· ·· 340 ... 211 Signal Amplifier··· 41 16 200812544 Respiratory Frequency Reader... 212 Microprocessor... 51 Data Area... 31 Wireless Transmitter Module... 61 Average Physiological Parameters... 310 Network Gateway... 71 Normal Physiology Standard... 320 Subjects... 100 Normal Heartbeat Range... 321 17