Nothing Special   »   [go: up one dir, main page]

TW200913959A - Method and apparatus for detecting an abnormal situation - Google Patents

Method and apparatus for detecting an abnormal situation Download PDF

Info

Publication number
TW200913959A
TW200913959A TW96136064A TW96136064A TW200913959A TW 200913959 A TW200913959 A TW 200913959A TW 96136064 A TW96136064 A TW 96136064A TW 96136064 A TW96136064 A TW 96136064A TW 200913959 A TW200913959 A TW 200913959A
Authority
TW
Taiwan
Prior art keywords
mode
signal
detection
physiological
monitoring system
Prior art date
Application number
TW96136064A
Other languages
Chinese (zh)
Inventor
Yang Peng
Sheng Jin
Warner Rudolph Theophile Ten Kate
Heribert Baldus
Original Assignee
Koninkl Philips Electronics Nv
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Koninkl Philips Electronics Nv filed Critical Koninkl Philips Electronics Nv
Publication of TW200913959A publication Critical patent/TW200913959A/en

Links

Landscapes

  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

To improve the power efficiency of a monitoring system, especially for worn devices, the present invention provides a monitoring system comprising a physiological signal monitor configured to monitor at least one physiological signal; a processor configured to receive the output signal of the physiological signal monitor and detect an abnormal occurrence of at least one physiological signal; and a movement detection sub-system coupled to receive the output signal of the processor and configured to monitor the movement of a target body, based on the output signal of the processor, for detecting the abnormal situation. The power consumption of the whole system can be decreased by using the monitoring result of physiological signals as a trigger for the movement detection sub- system.

Description

200913959 九、發明說明: 【發明所屬之技術領域】 本發明大體言之係關於異常情況之檢測,更具體言之係 關於用於檢測人跌倒的設備和方法。 ” 【先前技術】 保健在世界上變得越來越重要,尤其對於老年人及病人 而言更是如此。在所有潛在危險中,每年數百萬人因:跌 :i而受到傷害。跌倒可以定義為身體突然失去控制而非故 意地跌到地面^人們已經認識到跌倒係喪失自理之最重要 原因’係老年人三大死因之一。 目前已有多種檢測方案。其中大多數可以歸為佩帶設備 及基於環境之檢測系統。基於環境之解決方案通常將攝像 機及/或振動感測器安褒到人家裏,因此對節能方案不作 過多要求。佩帶設備系統對功耗非常敏感,其通常包括加 速計及傾斜感測器。通常,佩帶設備系統在不更換電池或 充電的情況下只能用_月。#必要延長佩帶設備系統之 壽命而仍不降低檢測可能發生之跌倒之速度及精度。 美國申請專利US 2〇〇3〇153836A1揭示了 _種藉由在行動 感測器(actimetric sensor)檢測到異常行動後引入對於生理 資訊之監視來改善檢測可能發生之跌倒之精度的方法。圖 1示出此種方法。對行動資訊之分析12可為三種類型:正 常111,在此種情況下只有行動感測器進行工作;明顯異 常112 ’在此種情況下直接進至階段13,產生警報;以及 可能異常113,在此種情況下檢測到值得注意的行動,但 125155.doc 200913959 不能判定是否涉及跌倒。在情況113,執行附加階段14, 以_ s忍該情況是否確實不正常。考慮生理資訊丨5,以確認 情況是否不正常。在並非不正常的情況下,返回到正常情 況111。否則,自動或手動產生警報。 然而,US 20030153836之此種方法不能滿足降低功耗之 要求。因此有必要尋求一種功效高而又不降低檢測精度的 解決方案。 【發明内容】 本發明之一些實施例之一個態樣係提供一種檢測人的異 常情況(特別是跌倒)之高功效且精確檢測方法及設備。 按照本發明之一些實施例,提供一種用於監視目標身體 之異常情況之監視系統,此種監視系統包括:配置成監視 ^理信號之生理信號監視器;配置成接收該生理信號2視 器之輸出信號及制生理信f虎之異常現象的處理器;以及 配置成接收該處理器之輸出信號及在根據該處理器之輪出 信號選擇之檢測模式下卫作以檢測異常情況的行動檢測子 »在正常情況下,行動檢測子系統可以在低功耗及低採樣 核式下工作。右在分析生理信號後檢測到一或多個生理 號異常,則可以指示行動檢測子系統在採樣率更高的模^ 下工作’以精確檢測患者之異常情況(制是身體行動)。 因此’同時考慮了功耗及檢測精度兩個方面。 125155.doc 200913959 ECG、EMG、sp〇2(脈搏 身體之生理活動的信號。),或者任何其他表示目標 =地,處理H包括配置成根據生理信號 ”檢測生理信號之異常現象的檢測器,及配置成產Γ 個模式選擇信號之模式 攻屋生一 备A , 式、擇15,該模式選擇信號用於指干 子系統在相應檢測模式下工作。有利地,可以按 …、王里L號之狀態設置 τ + i ~ 仃動檢,則子系統之工作模式,因此 可以大大節省功耗,特 U此 下。 衧別疋在叹有出現異常情況的情況 檢測模式可以根據檢測 式中iP遅.⑽ 之檢利結果自至少以下幾種模 、/才、休眠、假寐、常態及積極模式,但不限 於式。每個模式以採樣率或功耗水平表徵。 可選地’監視系統亦 身體所處環境之環境感=個配置成監視目標 發送給處理器,以^ 輸出信號可以 统之檢測槿々主如境之改變。在選擇行動檢測子系 …W/、、'日、亦考慮環境之改變。因此,系統具有考 ί哀境改變的優點。 可:地,監視系統亦可以包括配置成儲存及發送行動檢 測子系統及/或生理信號監視器之檢測結果的發送器 以利用對生理作號 ° 乜旎之檢測結果之分析來指 模式或發送模式下工作。 在储存 按照本發明之—些實施例,所提供的係一種監視方法, :種=包括下列步驟:a)監視生理信號;b)檢測㈣ 號之“現象;以及c)在與步_之輸出信號相應之檢測 125155.doc 200913959 模式下監視目標身體之身體行動。 可選地’此種監視方法 „ . 、可以包括監視環境改變之+驟 及考慮生理信號之異常現 ^ 變之步驟 步騾。 衣兄改變來選擇檢測模式之 本發明之基本思想係用生 理信號出現異常之檢測社檢測結果’特別是生 測模^ 果,來設置行動檢測子系統之檢 邓杈式。在生理信號正常 〈饱 樣率及低功耗模式下工作。 隹低私 時,例如•者^咕 田生理仏唬在較大範圍改變 ΑΛ Ρ 4·、π . 仃動檢測子糸統在採樣率較离 的杈式下工作,因此功耗 千奴冋 升。在生理信號異常時,例如 血壓及/或心跳突然上升時 】如 得多的模式下工作,從丄:測子系統在採樣率高 對心者身體行動很敏感。 從以下結合附圖所作 所附申請專利範圍中可以 更為β邊地看到本發明之其 有更全面瞭解。 〃他目的及效果’並且對本發明 【實施方式】 θ斤τ之實k例中’用監視生理信號確認是否出 真正跌倒’從而改#跌倒檢測之精度。在整個過程中 動檢測II在全功率模式下卫作,此意味著沒有考慮節能=200913959 IX. DESCRIPTION OF THE INVENTION: TECHNICAL FIELD OF THE INVENTION The present invention generally relates to the detection of abnormal conditions, and more particularly to an apparatus and method for detecting a person falling. [Prior Art] Health care is becoming more and more important in the world, especially for the elderly and patients. Among all the potential dangers, millions of people are hurt every year because of: falling: i. Defined as sudden loss of control of the body rather than deliberately falling to the ground. ^ People have recognized that the most important cause of loss of self-care is one of the three leading causes of death in the elderly. There are many detection programs available. Most of them can be classified as wearing Equipment and environment-based inspection systems. Environment-based solutions typically mount cameras and/or vibration sensors to people's homes, so there are no excessive requirements for energy-saving solutions. Wearable equipment systems are very sensitive to power consumption, which usually involves acceleration. Consider tilt sensor. Usually, the wearing system can only use _ month without replacing the battery or charging. # It is necessary to extend the life of the wearing system without reducing the speed and accuracy of the fall that may occur. Patent application US 2 〇〇 3 〇 153 836 A1 discloses that after detecting an abnormal action by an actimetric sensor The introduction of monitoring of physiological information to improve the accuracy of detecting possible falls is shown in Figure 1. The analysis of action information 12 can be of three types: normal 111, in which case only motion sensing The device is working; the apparent anomaly 112 'in this case goes directly to phase 13, generating an alarm; and possibly an anomaly 113, in which case a noteworthy action is detected, but 125155.doc 200913959 cannot determine if a fall is involved. In case 113, the additional phase 14 is executed to _ s tolerate whether the situation is indeed abnormal. Consider the physiological information 丨 5 to confirm whether the situation is abnormal. In the case of not abnormal, return to the normal situation 111. Otherwise, automatically Or manually generate an alarm. However, this method of US 20030153836 cannot meet the requirement of reducing power consumption. Therefore, it is necessary to find a solution with high efficiency without deteriorating detection accuracy. [Summary of the Invention] The state system provides a high-efficiency and accurate detection method and design for detecting abnormal conditions (especially falls) of a person. According to some embodiments of the present invention, there is provided a monitoring system for monitoring an abnormal condition of a target body, the monitoring system comprising: a physiological signal monitor configured to monitor a signal; configured to receive the physiological signal 2 a processor for outputting signals and anomalies in the physiological signal; and an action detection configured to receive an output signal of the processor and to detect an abnormal condition in a detection mode selected according to a rounding signal of the processor Sub » Under normal circumstances, the motion detection subsystem can work in low power and low sampling nucleus. Right after detecting physiological signals and detecting one or more physiological abnormalities, it can indicate the sampling rate of the motion detection subsystem. Higher modulo work 'to accurately detect abnormal conditions of the patient (system is physical action). Therefore, both power consumption and detection accuracy are considered. 125155.doc 200913959 ECG, EMG, sp〇2 (signal of physiological activity of the pulse body), or any other detector indicating that the target H is configured to detect abnormal phenomena of physiological signals according to physiological signals, and The mode is configured to generate a mode selection signal, and the mode selection signal is used for the reference subsystem to work in the corresponding detection mode. Advantageously, the button can be pressed by... The state setting τ + i ~ 仃 检 , , , 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统 子系统(10) The profit detection results are from at least the following modes, /, sleep, false, normal and active modes, but are not limited to the formula. Each mode is characterized by sampling rate or power consumption level. The environmental environment of the environment = one configured to monitor the target and send it to the processor, and the output signal can be used to detect the change of the main environment. In the action detection sub-system...W/,, '日, also Considering the changes in the environment. Therefore, the system has the advantage of changing the situation. The monitoring system may also include a transmitter configured to store and transmit the detection results of the motion detection subsystem and/or the physiological signal monitor to utilize The analysis of the results of the detection of physiological numbers refers to the operation in mode or transmission mode. In the storage of some embodiments according to the invention, a monitoring method is provided, which comprises the following steps: a) monitoring Physiological signal; b) detection of the "phenomenon of (4); and c) monitoring the physical activity of the target body in the detection of the corresponding signal of the step_125155.doc 200913959. Optionally, such a monitoring method may include a step of monitoring the environmental change and a step of considering the abnormality of the physiological signal. The basic idea of the present invention is to use a physiological signal to select a detection mode. In the case of an abnormal detection test result, in particular, the biometric test method is used to set the check detection mode of the action detection subsystem. It works in the normal physiological signal rate and the low power consumption mode. • The 咕 咕 仏唬 仏唬 仏唬 仏唬 较大 · · · · · · · · · · · · · · · · · Ρ Ρ Ρ Ρ Ρ Ρ Ρ Ρ Ρ Ρ Ρ Ρ Ρ 在 在 在 在 在 在 在 在 在 在 在For example, when the blood pressure and/or the heartbeat suddenly rises, working in a much more mode, the test system is sensitive to the physical behavior of the person with high sampling rate. It is more comprehensive to see the present invention, and to understand the purpose and effect of the present invention. Inverted and thus changed the accuracy of the fall detection. In the whole process, the motion detection II is in the full power mode, which means that energy saving is not considered.

題。 J ,杈』本發明之基本思想,對-或多個生理信號進行監 視以4双測可能之異常情況,特別是跌倒。在檢測到至,1、 一個生理信號出現不正常時,將行動檢測子系統設置為= 同的工作模式’以精確檢測異常情況。考慮到引起跌倒的 125155.doc 200913959 因素,可以為一定類型之使用者(例如,患有如高血壓之 類的慢性病患者)連續量測一些生理信號。與連續監視身 體之動作及取向之方法不同,本發明所揭示之設備及方法 可以連續量測使用者之必要生理信號及對跌倒的可能性進 行初始評估。例如,頭暈有引起跌倒的危險;血壓可以有 助於檢測此種現象;與正常脈搏血氧或心跳之較大偏離可 以象徵著有較大危險;EMG(肌電圖)活動量持續上升可以 意味著有跌倒的危險。因此’在象徵異常情況危險增加之 生理信號異常的情況下,行動檢測子系統將進一步切換至 不同模式。 、 為了更好地理解本發 圃2例示一個實施例。行動檢 測子系統’例如加速計及傾斜感測器,可以在以下該等模 式下工作: κ 、 不工作; 的採樣率(例如5 亦以較低速度工 關閉模式:加速計及傾斜感測器關閉, 休眠模式.只有一個加速計在相當低question. J, 杈 』 The basic idea of the invention is to monitor - or a plurality of physiological signals to detect possible abnormal conditions, especially falls. When it is detected, 1, when a physiological signal is abnormal, the action detection subsystem is set to = the same working mode' to accurately detect the abnormal situation. Considering the factors that cause falls, the 125155.doc 200913959 factor can be used to continuously measure some physiological signals for certain types of users (for example, patients with chronic diseases such as high blood pressure). Unlike the method of continuously monitoring the movement and orientation of the body, the apparatus and method disclosed by the present invention can continuously measure the necessary physiological signals of the user and perform an initial evaluation of the likelihood of a fall. For example, dizziness can cause a fall; blood pressure can help detect this phenomenon; a large deviation from normal pulse oximetry or heartbeat can be a greater risk; an EMG (electromyogram) activity can continue to rise. There is a danger of falling. Therefore, in the case of an abnormal physiological signal that indicates an increased risk of abnormal conditions, the motion detection subsystem will further switch to a different mode. For a better understanding of the present invention, an embodiment is illustrated. The motion detection subsystems, such as accelerometers and tilt sensors, can operate in the following modes: κ, not working; sampling rate (eg 5 is also at lower speeds. Off mode: accelerometer and tilt sensor Off, sleep mode. Only one accelerometer is quite low

Hz)下工作,行動檢測子系統之處理器 作; 假寐模式:加速計及傾斜感 外T水平列Working under Hz), the processor of the motion detection subsystem; false-twist mode: accelerometer and tilt sense

Hz)下工作; 計及傾斜感測器在習知採樣率(例如5。 厂作’灯動檢測子系統之處理器在節能速度(例 最南速度的1/2)下工作; 馬 ::::::計及傾斜感測器在最高吻 ,订動檢測子系統之處理器亦以最高速度工 125155.doc -10. 200913959 作’以便迅速檢測跌倒。 在此實施例中,以ECG(心電圖)信號作為示例。在習知 情況下,ECG感測H以完整模式進行工作,檢測患者之 ECG信號,如圖底部所示,標為A。在沒有不正常時,加 速計在採樣率為20 Hz之假寐模式下工作,如該圖左側部 为所不’標為B。當檢測到ECG信號不正常時,如圖中部 所示,標為C,加速計切換為在採樣率為1〇〇 Hzi積極模 式下工作,如圖右部所示’標為D。從此實施例中可以清 楚地看到,在正常情況下可以大大節省監視系統之功耗。 在出現不正常時,監視系統可以迅速地切換至更為精確之 監視模式,而不會降低檢測精度。 在其他情況下’在人睡眠時’其生理信號表明動作很 少’此意味著跌倒的危險較小。因此’行動檢測子系統可 以切換至精確度較低的模式。在人運動(如步行或跑動) 時、’意味著跌倒的危險較大’行動檢測子系統可以切換至 更為精確的模式。 处除了生理信號外,環境因素亦可用來指示出現跌倒之可 月臣^生。相應地可用一或多個環境感測器來連續或間斷地 ,視環境。例如’可以用光感測器來檢測環境是否太暗。 右太暗,則行動檢測子系統可以切換至更精確之工作模 式度感測益亦可以起到類似作用。在另一實施例中, 環境感測器之工作模式可以根據監視生理信號之輸出來設 置。例如’若檢測岛丨_本 W患者正在睡眠,則光感測器可以設置 為在關閉模式下工作;若檢測到患者正在快走或奔跑,則 125155.doc 200913959 光感測器亦可以设置為在關閉模式或假寐模式下工作,因 為通常人在明亮環境内快走或奔跑。Working at Hz); taking into account the known sampling rate of the tilt sensor (eg 5. The processor of the 'lighting detection subsystem' works at the energy saving speed (eg 1/2 of the southernmost speed); :::: Considering the tilt sensor at the highest kiss, the processor of the tracking detection subsystem also works at the highest speed 125155.doc -10. 200913959 'to quickly detect the fall. In this embodiment, ECG ( ECG) signal as an example. In the known case, ECG sensing H works in full mode, detecting the patient's ECG signal, as shown at the bottom of the figure, labeled A. In the absence of abnormality, the accelerometer is at the sampling rate. In the 20 Hz false-twist mode, if the left part of the figure is not marked as B. When the ECG signal is detected to be abnormal, as shown in the middle of the figure, marked C, the accelerometer is switched to the sampling rate of 1〇. 〇Hzi works in active mode, as shown in the right part of the figure, labeled 'D. From this example, it can be clearly seen that under normal circumstances, the power consumption of the monitoring system can be greatly saved. In the event of abnormality, the monitoring system can Quickly switch to a more precise monitoring mode without Reduce the accuracy of detection. In other cases, 'when a person sleeps, his physiological signal indicates that there is little movement'. This means that the risk of falling is small. Therefore, the 'action detection subsystem can switch to a mode with lower accuracy. (such as walking or running), 'meaning that the risk of falling is greater' The action detection subsystem can switch to a more precise mode. In addition to physiological signals, environmental factors can also be used to indicate the occurrence of a fall. Correspondingly, one or more environmental sensors can be used to continuously or intermittently view the environment. For example, a light sensor can be used to detect whether the environment is too dark. If the right is too dark, the motion detection subsystem can switch to more Accurate mode of operation can also play a similar role. In another embodiment, the operating mode of the environmental sensor can be set according to the output of the monitoring physiological signal. For example, if the detection island 丨 _ this W patient is Sleep, the light sensor can be set to work in the off mode; if the patient is detected to be walking or running, the 125155.doc 200913959 light sensor can also Set to work in the off mode or doze mode, because people usually brisk walking or running in a bright environment.

圖3例示按照本發明之—個實施例之監視系統。監視系 統300包括生理信號監視器31〇、處理器32〇及行動檢測^ 系統330。生理信號監視器31〇可用來監視一或多個各代表 一個目標身體之生理特徵之生理信號。例如,生理信號; 為心跳、脈搏、血壓、ECG、EMG、sp〇2,或者任何其他 代表目標身體之生理活動的信號。處理器32〇可用來接收 生理信號監視器310之輸出信號及檢測一或多個生理信號 之異常現象。行動檢測子系統33〇連接成接收處理器32^ 輸出信號,根據處理器之輸出信號監視目標身體之行動 以檢測異常情況。 藉由使用監視系統300,可以有益地使用生理信號監視 窃3 10之監視結果作為設置行動檢測子系統33〇之工作模式 的觸發,因此節省了整個系統的功率。在該等生理信號^ 有出現異常時’此通常意味著目標身體處於良好狀態,行 動檢測子系統3 3 0可以在較低採樣率(即節能模式)下工作。 在另-實施例中,處理器320亦可以包括檢測器似及模 式選擇器324。檢測器322配置成根據生理信號監視器31〇 之輸出信號檢測-或多個生理信號之異常現象。模式選擇 器324配置成產生用於指示行動檢測子系統33味相應工作 模式下工作的模式選擇信號。 器320配置成將生理信號監視 檢測子系統3 3 0,此可以進一 實際上亦可以進一步將處理 器31〇之輸出信號轉送給行動 步用來幫助改善檢測精度。 125155.doc -12- 200913959 在另一實施例中,行動檢測子系統330亦可以包括一或 多個加速計332、一或多個傾斜感測器334及第二處理器 336。每個加速計332可用來量測目標身體之加速度。每個 傾斜感測器334可用來量測目標身體之傾斜程度。第二處 理器336可用來處理加速計及傾斜感測器之輸出信號,以 檢測異常情況。加速計332、傾斜感測器334及第二處理器 336均可以使用當前可得到之器件。此外,第二處理器⑽ 可以配置成在考慮生理信號監視器31〇之輸出信號的情況 下檢測異常情況。 行動檢測子系統3 3 0可以配置成在不同工作模式下工 作。每個工作模式以採樣率、功耗或該兩者表徵。例如, 行動檢測子系統3 3 0可以在關閉、休眠、假寐、常態及積 極模式下工作。 在另—實施例中’監視系統綱内亦可以採用—或多個Figure 3 illustrates a monitoring system in accordance with an embodiment of the present invention. The monitoring system 300 includes a physiological signal monitor 31A, a processor 32A, and an action detection system 330. The physiological signal monitor 31 can be used to monitor one or more physiological signals representative of the physiological characteristics of a target body. For example, a physiological signal; is a heartbeat, pulse, blood pressure, ECG, EMG, sp〇2, or any other signal representative of the physiological activity of the target body. The processor 32 can be used to receive an output signal of the physiological signal monitor 310 and detect an abnormality in one or more physiological signals. The action detection subsystem 33 is coupled to receive the processor 32 to output a signal, and monitors the action of the target body based on the output signal of the processor to detect an abnormal condition. By using the monitoring system 300, it is beneficial to use the monitoring results of the physiological signal monitoring 3 as a trigger for setting the operational mode of the motion detecting subsystem 33, thus saving power of the entire system. When there is an abnormality in the physiological signals, this usually means that the target body is in good condition, and the motion detection subsystem 303 can operate at a lower sampling rate (i.e., energy saving mode). In another embodiment, processor 320 may also include a detector-like and mode selector 324. The detector 322 is configured to detect an abnormality of - or a plurality of physiological signals based on an output signal of the physiological signal monitor 31A. Mode selector 324 is configured to generate a mode select signal for indicating that action detection subsystem 33 is operative in a corresponding mode of operation. The device 320 is configured to monitor the physiological signal monitoring subsystem 3300, which may actually further forward the output signal of the processor 31 to the action step to help improve detection accuracy. 125155.doc -12- 200913959 In another embodiment, the motion detection subsystem 330 can also include one or more accelerometers 332, one or more tilt sensors 334, and a second processor 336. Each accelerometer 332 can be used to measure the acceleration of the target body. Each tilt sensor 334 can be used to measure the degree of tilt of the target body. The second processor 336 can be used to process the output signals of the accelerometer and the tilt sensor to detect anomalies. Accelerometer 332, tilt sensor 334, and second processor 336 can all use currently available devices. Additionally, the second processor (10) can be configured to detect an abnormal condition in consideration of the output signal of the physiological signal monitor 31A. The action detection subsystem 303 can be configured to operate in different modes of operation. Each mode of operation is characterized by a sampling rate, power consumption, or both. For example, the motion detection subsystem 320 can operate in a shutdown, sleep, false, normal, and active mode. In another embodiment, the monitoring system can also be employed - or multiple

環境感測器340,以利用環掩夕冲嫩& M J用% i兄之改變改善檢測精度及功 =。環境感測器340之輸出信號麵合至處理器32〇,以檢測 環境改變。實際上,亦15Γ ιν 1 + m „ 由處理益320將環境感測器340之 輸出信號轉送給行動檢測子系統33〇。 在—另—實施例中’監視系統亦可以包括可被配置成儲存 及或發达行動檢測子系統之輸出信號之發送器35〇。若將 生理信號監視器310及/或#谙咸.目彳„ 〇/)λ 次衣兄感冽态340之輸出信號轉送 給仃動檢測子系統330,則 及/或發逆…*益35〜際上可以能夠儲存 汉/,乂心运生理jg唬監視哭 七"L m310及/或裱境感測器340的輸出 仏號。有盈地,根據處理哭 ^之輸出再根據生理信號之異常 I25155.doc 200913959 現象及/或環境之改變來控制發送器350之工作模式。若生 佗號/又有不正常而且環境亦無較大改變,則發送器3 $ 〇 在儲存拉式下工作,此意味著其只是保存行動檢測子系統 330之輸^信號及/或生理信號監視器3職環境感測器州 m5虎。若出現不正常或發生較大環境改變,則發送 益350切換至發送模式,即時將檢測到的信號發送給例如 醫生或任何其他救護中心。有益地,如此可以報告即時檢 測結果並為患者獲取援助。 圖4例示按照本發明之—個實施例之監視異常情況之方 法:在方法400中,在步驟_,監視生理信號,以獲得 田月J生理活動情況〇在_,其執行以檢測一 或多個生理信號中是否存 廿隹,、吊現象。右檢測里 象,則在S430,選擇順序行動 、 因此,在_,行動檢測模式。 11系統在所選擇之檢測模式下 =作。在叫可以健存或發送S44〇之輸出信號。此外, 根據S43G之輸出對⑽之發送進行控制。亦可行的 是,引入環境檢測。在S46c>,>a 丁的 460,-視目標身體所處環境。再 在S470,檢測環境是否有 早又大改變。可以將S470之輪屮户 號饋入S430,以幫助選擇 翰出仏 檢測精度。 #檢_式,此進—步有助於改善 藉由使用本發明所提出之系統及方法,可以有益地使用 =信號出現異常來觸發通常將消耗較多功率之行 子系統。因此降低了整個系統的功率二 將所監視之生理信號與行動 ,見 可以 丁動檢測之檢測結果相結合來改善 125355.doc 200913959 之改變亦有利於節省更多 檢測精度。在適當時間考慮環境 能量及改善行動檢測。 之技術實施例之說明只是示例性的,並非對本發明 之,等:有所限制。熟習此項技術者應當理解,本發明 明^技可以加以修改或时替換,而不f離本發 專利神及範,,因此亦應落人本發明之申請 寻利範圍之保護範疇内。 【圖式簡單說明】 圖1例示US 20030153836A1中所揭示之方法,· 上圖2例示本發明之根據監視咖感測器之輪出設置加速 s十之工作模式的實施例; 圖3例示按照本發明之一個實施例之監視系統; 圖4例示按照本發明之一個實施例之監視方法。 匕在所有以上附圖巾,應當理解相同或類似_標記所標 才曰的係相同或類似部件或功能。 【主要元件符號說明】 31〇 生理信號監視器 320 處理器 322 檢測器 324 模式選擇器 330 行動檢測子系統 332 加速計 334 傾斜感測器 336 第二處理器 125155.doc 200913959 340 350 環境感測器 發送器 125155.doc -16The environmental sensor 340 is used to improve the detection accuracy and work with the change of the ring and the MJ. The output signal of ambient sensor 340 is coupled to processor 32A to detect environmental changes. In fact, 15 Γ ιν 1 + m „ The output signal of the environmental sensor 340 is forwarded to the action detection subsystem 33 by the processing benefit 320. In the other embodiment, the monitoring system may also include a configuration that can be configured to be stored. And or the transmitter of the output signal of the developed action detection subsystem 35. If the physiological signal monitor 310 and/or #谙咸.目彳 〇 ) ) λ 次 冽 340 340 340 340 output signal is forwarded to The sway detection subsystem 330, and/or the spurt ... * 益 35 ~ can be able to store the Han /, 乂 mental physiology jg 唬 monitoring crying seven "L m310 and / or the output of the environment sensor 340 Nickname. There is a surplus, according to the output of the processing cry, according to the abnormality of the physiological signal I25155.doc 200913959 phenomenon and / or environmental changes to control the working mode of the transmitter 350. If the nickname/again is not normal and the environment does not change much, the transmitter 3$ 工作 operates in the storage pull mode, which means that it only saves the signal and/or physiological signal monitoring of the action detection subsystem 330. 3 job environment sensor state m5 tiger. If an abnormality occurs or a large environmental change occurs, the transmission benefit 350 switches to the transmission mode, and the detected signal is immediately sent to, for example, a doctor or any other ambulance center. Beneficially, it is possible to report immediate test results and obtain assistance for the patient. 4 illustrates a method of monitoring an abnormal condition in accordance with an embodiment of the present invention: in method 400, in step _, monitoring physiological signals to obtain Tianyue J physiological activity status _, which is performed to detect one or more Whether there is a sputum or a hanging phenomenon in a physiological signal. Right detection, then in S430, select the sequence action, therefore, in the _, action detection mode. 11 system in the selected detection mode = made. It can be used to save or send the output signal of S44〇. Further, the transmission of (10) is controlled in accordance with the output of S43G. It is also possible to introduce environmental testing. In S46c >, > a 460, - depending on the environment in which the target body is located. At S470, it is detected whether the environment has changed greatly. The S470's wheeled account number can be fed into the S430 to help select the detection accuracy. #检_式, this step-by-step helps to improve by using the system and method of the present invention, it is beneficial to use the = signal to generate an abnormality to trigger a line subsystem that would normally consume more power. Therefore, the power of the whole system is reduced. The physiological signals and actions monitored can be combined to improve the detection results of the 125355.doc 200913959, which also helps to save more detection accuracy. Consider environmental energy and improve action detection at the right time. The description of the technical examples is merely exemplary and not intended to limit the invention, and so on. It is to be understood by those skilled in the art that the present invention may be modified or replaced, and is not intended to be within the scope of the invention. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 illustrates a method disclosed in US 20030153836A1, and FIG. 2 illustrates an embodiment of the present invention in accordance with an operation mode of an acceleration setting of a monitoring coffee sensor; FIG. 3 illustrates A monitoring system of one embodiment of the invention; Figure 4 illustrates a monitoring method in accordance with one embodiment of the present invention. In all of the above drawings, it should be understood that the same or similar components or functions are the same or similar. [Main component symbol description] 31〇 Physiological signal monitor 320 Processor 322 Detector 324 Mode selector 330 Motion detection subsystem 332 Accelerometer 334 Tilt sensor 336 Second processor 125155.doc 200913959 340 350 Environmental sensor Transmitter 125155.doc -16

Claims (1)

200913959 十、申請專利範圍: ι_ 一種用於監視目標套體之|杳& 皿优曰知身骽之異吊情況之監視系統,其 括: 配置成監視生理信號之生理信號監視器; 配置成接收該生理作號gt ^目^ ^ a琨揽視器之輸出信號並檢測該生 理信號之異常現象的處理器;以及 配置成接收該處理器之輪出信號並在選擇之檢測模式 下工作以檢測異常情況之行動檢測子系統,該檢測模式 係根據該處理器之輸出作號 ^ I現璉擇的,用於檢測該目標身 體之異常情況。 2 ·如請求項1之監視系統,盆由#丄 于 '死其中该生理信號監視器包括配 置成檢測該生理信號之生物感測器。 3 _如請求項i或2之監禎系 系、、先,其中該生理信號為以下信號 中之任意一者:心跳、腺M 脈搏、血壓、ECG、EMG、SPO, (脈搏乳飽和)及任何表示目標身體之生理活動的信號。 4. 如請求項1之監視系統,其中該處理器包括: 配置成根據該生理作 咕 °處凰視器之輸出信號檢測生理信 5虎之異常現象之檢測器;以及 配置成產生一個极、ee, 、式選擇信號之模式選擇器,該模式 選擇仏號用於指示該 ,, / 丁動檢測子系統在相應檢測模式下 工作。 5. 如請求項4之監視系 · 其中該處理器進一步配置成將 生里仏號監視器之輕V山v .,^, 別出k號轉發給該行動檢測子系統。 6. 如凊未項1或4之監 糸統’其中該行動檢測子系統配置 125155.doc 200913959 成在夕個檢測模式下工作,其中每個檢測模式以採樣 及功耗水平中之至少一個性能來表徵。 7.如請求項6之監視系統,其中每個檢測模式均為關閉、 休眠叙寐、常態及積極模式中之任何—者。 士月长項6之監視系統’其中該行動檢測子系統包括. 至少—個配置成量測目標身體之加速度之加速計; 器至個配置成量測目標身體之傾斜程度之傾斜感剛 ^及 =成處理加速計及傾斜感測器之輸出信號 常情況之第二處理器。 h、 9·:請求項1之監視系統,其㈣常情況為目標身體跌 1〇.t請求項9之監視系統,其進-步包括至少一個配置成 監視目標身體所片丨也 -ΐ成 所“衩之環境感測器,其中該處理薄.隹 一步配置成根據該環境感測 Π 及根據環境改變之棒果二就檢測環境改變 生模式選擇信號。 儿之異吊現象產 η·如請求項狀監視系統,其中 亮度、溫度及濕度令之至少—者。兄戌心配置成監視 12.如請求項丨之監視系統,t 井 傳輸器配置成儲存及~括—個傳輸器,該 置成根據該處理器之輪 亦配 下工作。 叩社保存杈式或發送模式 I25155.doc 200913959 13. —種用於監視目標身體之異常情況的方法,該方法包括 下列步驟: a) 監視生理信號; b) 檢測生理信號之異常現象;以及 c) 在與步驟b)之輸出信號相應之檢測模式中監視目標 身體之身體行動β Λ 14. 如請求項13之方法,其中該生理信號為心跳、血應、脈 搏、ECG、EMG及SPOj之任何一者。 ; 15. 如請求項13之方法,其中步驟b)進一 ^巴栝下列步驟: 1)祆測該生理信號之異常現象;以及 W產生供在步驟c)中用於判定檢測 號。 误式之拉式選擇信 1 6 ·如請求項i 3之方法,其中 Α Τ β «劂模式為關閉、 寐、力態及積極模式中之任何一者。 假 1 7.如請求項1 3之方法,1中牛驟、 •… ”中步驟C)進-步包括下列❹· I) 監視該目標身體之加速度; ^卜’ II) 監視該目標身體之傾斜程度;以及 出)處理步驟i)及ii)之輪ψ产咕 )疋輸出仏唬,以檢測里 18. 如請求項13之方法,其進一牛勺 ’、Μ月况。 ν I括下列步驟: d) 監視目標身體所處環境之改變, 其中該步驟C)亦配置成在與步 應之檢測模式中監視目桿身 之輸出信號相 知身體之身體行動。 19. 如請求項13之方法,复 ^ 、進—步包括下列步驟: e) 按照步驟b)之輸出作聃、, ”虎發运D之輪出信號。 125155.doc200913959 X. Patent application scope: ι_ A monitoring system for monitoring the target case, 杳& 曰 曰 曰 曰 曰 曰 , , , , , 生理 生理 生理 生理 生理 生理 生理 生理 生理 生理 生理 生理 生理 生理 生理 生理 生理a processor that receives the physiological signal gt ^ ^ ^ ^ 琨 视 并 并 并 并 并 并 并 并 并 并 并 并 并 并 ; ; ; ; ; ; ; ; ; 处理器 处理器 处理器 处理器 处理器 处理器 处理器 处理器 处理器 处理器 处理器 处理器 处理器 处理器 处理器 处理器An action detection subsystem that detects an abnormal condition, and the detection mode is determined according to the output of the processor, and is used to detect an abnormal condition of the target body. 2. The monitoring system of claim 1, wherein the physiological signal monitor comprises a biosensor configured to detect the physiological signal. 3 _ as in the monitoring system of claim i or 2, first, wherein the physiological signal is any one of the following signals: heartbeat, glandular M pulse, blood pressure, ECG, EMG, SPO, (pulse milk saturation) and Any signal that indicates the physiological activity of the target body. 4. The monitoring system of claim 1, wherein the processor comprises: a detector configured to detect an abnormality of the physiological signal according to an output signal of the physiological device at the physiological position; and configured to generate a pole, The mode selector of the ee, type selection signal, the mode selection apostrophe is used to indicate the, and the / detection detection subsystem operates in the corresponding detection mode. 5. The monitoring system of claim 4, wherein the processor is further configured to forward the light V hill v., ^, and the k number to the motion detection subsystem. 6. In the case of No. 1 or 4, the action detection subsystem configuration 125155.doc 200913959 works in the evening detection mode, wherein each detection mode has at least one of sampling and power consumption levels. To characterize. 7. The monitoring system of claim 6, wherein each of the detection modes is any of a shutdown, a sleep mode, a normal state, and a positive mode. The monitoring system of the terminology of the terminology 6 wherein the action detection subsystem comprises: at least one accelerometer configured to measure the acceleration of the target body; the device is configured to measure the inclination of the target body and the inclination is just = a second processor that processes the accelerometer and the output signal of the tilt sensor. h, 9·: the monitoring system of claim 1, wherein (4) the situation is that the target body falls 1 〇.t request item 9 of the monitoring system, and the further step includes at least one configured to monitor the target body. The environmental sensor of the , , 其中 其中 其中 隹 隹 隹 隹 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境 环境Requesting a item-like monitoring system in which at least brightness, temperature, and humidity are configured. The brothers are configured to monitor 12. The monitoring system of the request item, the t-well transmitter is configured to store and include a transmitter, It is also configured to work according to the wheel of the processor. 杈社Save 或 or send mode I25155.doc 200913959 13. A method for monitoring abnormal conditions of a target body, the method comprising the following steps: a) monitoring physiological signals b) detecting an abnormality of the physiological signal; and c) monitoring the physical activity of the target body in the detection mode corresponding to the output signal of step b) Λ 14. As in the method of claim 13, The physiological signal is any one of a heartbeat, a blood, a pulse, an ECG, an EMG, and a SPOj. 15. The method of claim 13, wherein the step b) is performed by the following steps: 1) measuring the physiological signal Anomaly; and W is generated for determining the detection number in step c). The pull selection letter of the mistype 1 6 · The method of claim i 3, where Α Τ β «劂 mode is off, 寐, force Any one of the state and the positive mode. False 1 7. If the method of claim 1 3, step 1 in the "1", "..." step-by-step includes the following steps: I) monitoring the acceleration of the target body; ^卜' II) monitor the degree of inclination of the target body; and) the processing steps i) and ii) of the rim ψ) 疋 output 仏唬 to detect the 18. In the method of claim 13, a spoon ', Μ月况. ν I includes the following steps: d) monitoring the change in the environment in which the target body is located, wherein the step C) is also configured to monitor the physical motion of the body in the detection signal of the target shaft in the detection mode of the step. 19. In the method of claim 13, the steps of the step (step) include the following steps: e) following the output of step b), "the signal of the round of the ship D. 125155.doc
TW96136064A 2007-09-19 2007-09-27 Method and apparatus for detecting an abnormal situation TW200913959A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN200710015338 2007-09-19

Publications (1)

Publication Number Publication Date
TW200913959A true TW200913959A (en) 2009-04-01

Family

ID=44725310

Family Applications (1)

Application Number Title Priority Date Filing Date
TW96136064A TW200913959A (en) 2007-09-19 2007-09-27 Method and apparatus for detecting an abnormal situation

Country Status (1)

Country Link
TW (1) TW200913959A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102469957A (en) * 2009-07-20 2012-05-23 皇家飞利浦电子股份有限公司 Method for operating a monitoring system
TWI410235B (en) * 2010-04-21 2013-10-01 Univ Nat Chiao Tung Apparatus for identifying falls and activities of daily living

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102469957A (en) * 2009-07-20 2012-05-23 皇家飞利浦电子股份有限公司 Method for operating a monitoring system
TWI410235B (en) * 2010-04-21 2013-10-01 Univ Nat Chiao Tung Apparatus for identifying falls and activities of daily living
US8974403B2 (en) 2010-04-21 2015-03-10 National Chiao Tung University Apparatus for identifying falls and activities of daily living

Similar Documents

Publication Publication Date Title
JP5555164B2 (en) Abnormal state detection method and apparatus
US12020550B2 (en) System for detecting falls and discriminating the severity of falls
US20150185819A1 (en) Vital information measuring device, processing system, vital information processing method, and program
WO2016186724A1 (en) Systems and methods for wearable sensor technique
EP2805273B1 (en) Energy expenditure
CN103402423B (en) Patient deterioration detects
Hashim et al. Accurate fall detection for patients with Parkinson's disease based on a data event algorithm and wireless sensor nodes
KR102532412B1 (en) Electric device for providing health information based on biometric information and controlling method thereof
RU2602676C2 (en) Fever detection apparatus
TW201519614A (en) System with distributed process unit
WO2016183592A1 (en) Systems and methods for wearable health alerts
US11191483B2 (en) Wearable blood pressure measurement systems
KR101742408B1 (en) Health monitoring system and data collection method thereof
US10143415B2 (en) Method of monitoring a patient for seizure activity and evaluating seizure risk
US11504040B2 (en) Wearable heart monitoring device, heart monitoring system and method
US11185260B1 (en) State-based methods and systems using continuous glucose monitors and accelerometers to regulate glucose levels
WO2015058923A1 (en) Device and method for estimating the energy expenditure of a person
JP2019512347A5 (en)
TW200913959A (en) Method and apparatus for detecting an abnormal situation
CN104568101A (en) Health monitoring electronic weighing scale
WO2023219059A1 (en) Analysis device and analysis method
US20210068736A1 (en) Method and device for sensing physiological stress
US10368812B2 (en) System for the early detection of life-threatening conditions of persons
JP2010266217A (en) Portable blood-sugar level measuring device
JP7502738B2 (en) Monitoring support system and monitoring support method