TWI733508B

TWI733508B - Device for turning over detection

Info

Publication number: TWI733508B
Application number: TW109122163A
Authority: TW
Inventors: 楊淑貞; 徐銘鴻; 張學信
Original assignee: 滙嘉健康生活科技股份有限公司
Priority date: 2020-06-30
Filing date: 2020-06-30
Publication date: 2021-07-11
Also published as: TW202202094A

Abstract

A device for turning over detection is provided. The device including: an optical fiber sensor pad, adapting to allow people lie on it； an optical fiber sensor module, located inside the optical fiber sensor pad, turning the pressure into a light signal； a light sensor, coupling to the optical fiber sensor module, turning the light signal into a measured signal and delivering the measured signal to a signal processing module； a signal processing module, analyzing the measured signal and determining the event time for turning-over, back-slapping and lying base on the waveform feature of the measured signal.

Description

翻身照護偵測系統Turnover care detection system

本發明係有關一種翻身照護偵測系統，特別是指一種可判斷照護動作之翻身照護偵測系統。The present invention relates to a turn-over care detection system, in particular to a turn-over care detection system capable of judging care actions.

當皮膚長期集中性受壓，該部分皮膚組織因血液灌流不足發生缺氧現象，會導致皮膚組織壞死而形成褥瘡。對於癱瘓或行動不便之被照護者，必須由照護人員定期為被照護者翻動身體或拍打受壓處，使血流循環以避免發生褥瘡。一般而言，翻身照護可以分為翻身以及翻身加拍背，例如在被照護者進食或喝水後只施予翻身不施予拍背；而翻身又可區分為往左翻或往右翻，以避免特定位置的皮膚組織長期承受壓力。通常的翻身照護周期為每兩小時一次。When the skin is under concentrated pressure for a long period of time, hypoxia occurs in this part of the skin tissue due to insufficient hemoperfusion, which can lead to necrosis of the skin tissue and form bedsores. For care recipients who are paralyzed or have limited mobility, caregivers must regularly turn their bodies or slap the pressured areas for the care recipients to circulate the blood flow to avoid bedsores. Generally speaking, turn-over care can be divided into turn-over and turn-over and back-slap. For example, only turn over without back-slap after the person being cared for eating or drinking. Turning over can be divided into turning left or turning right. In order to avoid long-term pressure on the skin tissue in a specific location. The usual turn-over care cycle is once every two hours.

現代家庭組成成員少，當家中出現中風或其他因疾病而行動不便的被照護者，通常必須委託外聘看護在其他家庭成員外出時照顧家中被照護者，而被照護者是否確實受到妥善的照護便是每位委託人所憂心的。另一方面，對於照護中心的管理者而言，當出現多床的行動不便被照護者時就必須以人工記錄每位被照護者每一次翻身與拍背的時間，確保定時受到照護。然而，無論是委外或是臨床管理，百密中總難免有一疏且十分耗費心力。Modern families have few members, and when there is a stroke or other sickness in the home for care recipients, they usually have to entrust external caregivers to take care of the care recipients at home when other family members are out, and whether the care recipients are indeed properly taken care of This is what each client is worried about. On the other hand, for the care center manager, when there are multiple-bed mobility-impaired care recipients, they must manually record the time each care recipient turns over and pat their backs to ensure that they receive regular care. However, whether it is outsourcing or clinical management, it is inevitable that Bai Mi Zhong is unavoidable and very exhausting.

本發明係為解決翻身拍背照護管理不易之臨床問題，提出一種翻身照護偵測系統。The present invention is to solve the clinical problem of the difficult management of turning over and shooting back care, and proposes a turning over care detection system.

在一實施例中，本發明之翻身照護偵測系統包含有光纖感測墊、光纖感應模組、光電轉換模組以及訊號處理模組。當被照護者躺臥在光纖感測墊上，位於光纖感測墊內部的光纖感應模組即可以將被照護者施予光纖感測墊的壓力轉換而影響光訊號的物理性質，例如強度、頻率、相位等物理性質。光電轉換模組耦接光纖感應模組，可以將光訊號轉換為量測訊號再傳送給訊號處理模組。訊號處理模組分析量測訊號以根據量測訊號之波型特徵判斷翻身事件、拍背事件或躺臥狀態的發生時間點；其中，翻身事件對應第一判斷訊號，指具有振幅大於第一閾值之量測訊號；拍背事件對應第二判斷訊號，指週期發生振幅小於第一閾值且大於第二閾值之量測訊號；躺臥狀態對應第三判斷訊號，指第一判斷訊號與第二判斷訊號發生時點以外之量測訊號。In one embodiment, the turn-over care detection system of the present invention includes an optical fiber sensing pad, an optical fiber sensing module, a photoelectric conversion module, and a signal processing module. When the care receiver lies on the fiber optic sensing pad, the fiber optic sensing module located inside the fiber sensing pad can convert the pressure applied by the careee to the fiber sensing pad to affect the physical properties of the optical signal, such as intensity and frequency , Phase and other physical properties. The photoelectric conversion module is coupled to the optical fiber sensor module, which can convert the optical signal into a measurement signal and then send it to the signal processing module. The signal processing module analyzes the measurement signal to determine the time point of the turn-over event, back-beat event, or lying state based on the waveform characteristics of the measurement signal; wherein the turn-over event corresponds to the first determination signal, which means that the amplitude is greater than the first threshold The measurement signal of the back beat event corresponds to the second judgment signal, which refers to the measurement signal whose periodic amplitude is less than the first threshold and greater than the second threshold; the lying state corresponds to the third judgment signal, which refers to the first judgment signal and the second judgment Measurement signals other than the point when the signal occurs.

藉由將動作訊號分類而獲得每次動作的發生時間，系統可以提醒照護人員定期執行翻身動作，亦可將記錄提供給看護委託人或照護中心管理者，確保自家或院內所有病患都有定時受到良好照護。By classifying the action signals to obtain the time of each action, the system can remind caregivers to perform regular turn-over actions, and can also provide the records to the care client or care center manager to ensure that all patients in their homes or hospitals have timing Receive good care.

本說明書所稱之統計上顯著係指統計檢定結果P>0.05；翻身係指從躺臥狀態翻動成背部不完全貼附床面之狀態；拍背係指於翻身狀態下對背部施以複數次數之拍擊。The statistically significant mentioned in this manual refers to the statistical verification result P>0.05; turning over refers to turning from the lying state to the state where the back is not completely attached to the bed surface; slap back refers to applying plural times to the back in the turning state The slap.

圖1為本發明之翻身照護偵測系統於一實施例之方塊示意圖。請參照圖1，翻身照護偵測系統1包含光纖感測墊11、光纖感應模組12、光電轉換模組13及訊號處理模組14。FIG. 1 is a block diagram of an embodiment of the turn-over care detection system of the present invention. Please refer to FIG. 1, the turn-over care detection system 1 includes an optical fiber sensing pad 11, an optical fiber sensing module 12, a photoelectric conversion module 13 and a signal processing module 14.

在一實施例中，如圖2所示，使用者可鋪設一件或一件以上之光纖感測墊11於床墊上，各光纖感測墊11可保持一定間距，以涵蓋被照護者躺臥時施壓較大的部位，如頭部、軀幹或腿部。光纖感測墊11內部可以具有一組或一組以上光纖感應模組12，光纖感應模組12將被照護者施予光纖感測墊11的壓力轉換而影響光訊號的物理性質，例如振幅、強度、頻率、相位等物理性質。光纖感應模組12可採用本質型光纖感測器(Intrinsic optic sensor)，利用光纖本身因受壓變形或震動產生光衰減；亦可採用非本質型光纖感測器(Extrinsic optic sensor)，利用光纖將光源導向光調變介質，光調變介質因受壓而改變其傳光性質。光電轉換模組13利用光纖線耦接光纖感應模組12以接收光訊號。光電轉換模組13包含光感測器以將光訊號轉換為量測訊號，再透過傳輸線或無線傳輸裝置將量測訊號傳送給訊號處理模組14。訊號處理模組14可以是積體電路或應用於計算機之軟件。訊號處理模組14可先將量測訊號進行訊號預處理，包含了訊號取樣、濾波、閾值計算、訊號平滑化等步驟。再進行分類處理，根據量測訊號波型特徵分類翻身事件、拍背事件或躺臥狀態。In one embodiment, as shown in FIG. 2, the user can lay one or more optical fiber sensing pads 11 on the mattress, and the optical fiber sensing pads 11 can be kept at a certain distance to cover the care recipient. Place more pressure when lying down, such as the head, torso, or legs. The optical fiber sensing mat 11 may have one or more than one set of optical fiber sensing modules 12 inside. The optical fiber sensing module 12 converts the pressure applied to the optical fiber sensing mat 11 by the caregiver to affect the physical properties of the optical signal, such as amplitude, Physical properties such as intensity, frequency, phase, etc. The optical fiber sensor module 12 can adopt an intrinsic optic sensor, which uses the optical fiber itself to produce light attenuation due to compression or vibration; it can also use an extrinsic optic sensor, which uses an optical fiber. The light source is guided to the light modulating medium, and the light modulating medium changes its light transmission properties due to pressure. The photoelectric conversion module 13 is coupled to the optical fiber sensor module 12 through an optical fiber line to receive optical signals. The photoelectric conversion module 13 includes a light sensor to convert the optical signal into a measurement signal, and then transmits the measurement signal to the signal processing module 14 through a transmission line or a wireless transmission device. The signal processing module 14 can be an integrated circuit or software applied to a computer. The signal processing module 14 may first perform signal preprocessing on the measurement signal, which includes the steps of signal sampling, filtering, threshold calculation, signal smoothing, and so on. Then perform classification processing, and classify turn-over events, back-slap events, or lying state according to the waveform characteristics of the measured signal.

對於訊號預處理，由於翻身拍背訊號頻率約在5~10 Hz以下，故量測訊號之取樣頻率設定為10~20 Hz以在避免過度取樣條件下使訊號不致失真。訊號濾波取10 Hz低通濾波，以避免高頻電磁波雜訊干擾。閾值計算，可以因應不同體型之被照護者而採自定義的方式；亦可以取標準差之倍數作為閾值；亦可以採用動態閾值演算法(Adaptive thresholding)求取閾值。訊號平滑化採移動平均或低通濾波使訊號模糊化，利於找出變化趨勢。For signal pre-processing, since the frequency of the flip-back signal is about 5~10 Hz or less, the sampling frequency of the measurement signal is set to 10~20 Hz to prevent the signal from being distorted under the condition of avoiding over-sampling. The signal filter is a 10 Hz low-pass filter to avoid high-frequency electromagnetic noise interference. Threshold calculation can be customized according to different body types of caregivers; multiples of standard deviation can also be used as the threshold; dynamic thresholding algorithm (Adaptive thresholding) can also be used to obtain the threshold. Signal smoothing adopts moving average or low-pass filtering to blur the signal, which is helpful to find the trend of change.

對於分類處理，圖3A、圖3B及圖3C為本發明之翻身照護偵測系統1於一實施例中根據量測訊號波型特徵所分類出之三種情況。圖3A係翻身事件於一實施例對應第一判斷訊號21波型圖。當照護人員將躺臥於本發明光纖感測墊11之被照護者翻身時，因翻身動作產生瞬間壓力施予光纖感測墊11，會造成量測訊號出現振幅大於第一閾值31而時間尺度約為一般翻身時間之單一脈衝波。前述單一脈衝波即為具有振幅大於第一閾值31之量測訊號，屬於第一判斷訊號21；圖3B係拍背事件於一實施例對應第二判斷訊號22波型圖。當照護人員為躺臥於本發明光纖感測墊11之被照護者拍背時，因拍背動作產生週期性的震動施予光纖感測墊11，造成量測訊號在預設時間內有週期性高機率發生具有振幅小於第一閾值31且大於第二閾值32之複數脈衝波。前述複數脈衝波，每個脈衝波的時間尺度約為一般單次拍背之拍擊時間。前述複數脈衝波即為週期發生振幅小於第一閾值31且大於第二閾值32之量測訊號，屬於第二判斷訊號22；圖3C係躺臥狀態於一實施例對應第三判斷訊號23波型圖。當被照護者躺臥於本發明光纖感測墊11時，被照護者無法自行移動造成恆定壓力施予光纖感測墊11，因此使量測訊號在第一判斷訊號21以及第二判斷訊號22以外主要處於穩定小於第二閾值32的狀態之穩定訊號。前述穩定訊號即為第一判斷訊號21與第二判斷訊號22發生時點以外之量測訊號，屬於第三判斷訊號23。For the classification process, FIGS. 3A, 3B, and 3C show the three situations classified according to the waveform characteristics of the measured signal in the turn-over care detection system 1 of the present invention in an embodiment. FIG. 3A is a waveform diagram of the first judgment signal 21 corresponding to the turning over event in an embodiment. When the caregiver turns over the person being cared for lying on the optical fiber sensing pad 11 of the present invention, the instant pressure generated by the turning motion is applied to the optical fiber sensing pad 11, which will cause the amplitude of the measurement signal to be greater than the first threshold 31 and the time scale A single pulse wave that is about the normal turn-over time. The aforementioned single pulse wave is a measurement signal with an amplitude greater than the first threshold 31, which belongs to the first determination signal 21; FIG. 3B is a waveform diagram of the second determination signal 22 corresponding to the beat-back event in one embodiment. When the caregiver pats the back of the person being cared for lying on the optical fiber sensing pad 11 of the present invention, periodic vibrations are generated on the optical fiber sensing pad 11 due to the motion of the back shot, causing the measurement signal to have a periodicity within a preset time There is a high probability of occurrence of complex pulse waves with amplitudes less than the first threshold 31 and greater than the second threshold 32. For the aforementioned complex pulse waves, the time scale of each pulse wave is approximately the slap time of a normal single slap. The aforementioned complex pulse wave is a measurement signal whose periodic amplitude is less than the first threshold 31 and greater than the second threshold 32, which belongs to the second judgment signal 22; Fig. 3C is a lying state corresponding to the third judgment signal 23 waveform in an embodiment picture. When the care receiver lies on the optical fiber sensing pad 11 of the present invention, the care receiver cannot move on its own, causing a constant pressure to be applied to the optical fiber sensing pad 11, so that the measurement signal is at the first determination signal 21 and the second determination signal 22 Other than that, it is mainly a stable signal that is stable and less than the second threshold 32. The aforementioned stable signal is a measurement signal other than the point in time when the first judgment signal 21 and the second judgment signal 22 occur, and belongs to the third judgment signal 23.

在一實施例中，由於臨床上照護人員會自訂拍背週期，故預設時間為照護人員自訂之拍背週期以判斷預設時間內是否出現第二判斷訊號22。在一實施例中，由於通常的翻身照護週期為每兩小時一次，故預設時間為兩小時以判斷預設時間內是否出現第二判斷訊號22。In one embodiment, since the caregiver will customize the pat-back cycle in clinical practice, the preset time is the pat-back cycle customized by the caregiver to determine whether the second determination signal 22 occurs within the preset time. In one embodiment, since the normal turn-over care cycle is once every two hours, the preset time is two hours to determine whether the second determination signal 22 occurs within the preset time.

在一實施例中，存在第一閾值31，使第一判斷訊號21的波峰振幅大小在統計上顯著大於被照護者處於躺臥狀態下量測訊號的振幅；存在第二閾值32，使第二判斷訊號22的波峰振幅大小在統計上顯著大於被照護者處於躺臥狀態下量測訊號的振幅，且顯著低於第一判斷訊號21的波峰振幅。In one embodiment, there is a first threshold 31, so that the peak amplitude of the first judgment signal 21 is statistically significantly larger than the amplitude of the measured signal when the care receiver is lying down; there is a second threshold 32, so that the second The amplitude of the peak of the judgment signal 22 is statistically significantly larger than the amplitude of the measured signal when the cared person is lying down, and is significantly lower than the amplitude of the peak of the first judgment signal 21.

在一實施例中，存在第一閾值31，使第一判斷訊號21的波峰振幅大小在統計上顯著大於量測訊號移動平均線；存在第二閾值32，使第二判斷訊號22的波峰振幅大小在統計上顯著大於量測訊號移動平均線，且顯著低於第一判斷訊號21的波峰振幅。In one embodiment, there is a first threshold 31, so that the peak amplitude of the first judgment signal 21 is statistically significantly larger than the moving average of the measurement signal; there is a second threshold 32, so that the peak amplitude of the second judgment signal 22 is It is statistically significantly larger than the moving average of the measurement signal, and significantly lower than the peak amplitude of the first judgment signal 21.

在一實施例中，存在第一閾值31，使第一判斷訊號21的發生與否與翻身動作的發生與否，在統計上顯著正相關；存在第二閾值32，使第二判斷訊號22的發生與否與拍背動作的發生與否，在統計上顯著正相關。In one embodiment, there is a first threshold 31, so that the occurrence of the first judgment signal 21 is statistically significantly positively correlated with the occurrence of the turning motion; there is a second threshold 32, so that the second judgment signal 22 has a positive correlation. There is a statistically significant positive correlation between the occurrence or not and the occurrence of the back pat action.

本發明之另一實施例，為提升翻身事件、拍背事件或躺臥狀態的辨識準確度，訊號處理模組14適用一機器學習演算法進行處理。由於臨床上翻身照護可以分為翻身以及翻身加拍背，例如在被照護者進食或喝水後只施予翻身不施予拍背。然而為執行拍背照護，照護人員勢必得先將被照護者從躺臥狀態進行翻身，再對被照護者執行拍背。簡言之，翻身動作後不一定伴隨拍背動作的發生，但拍背動作前勢必已發生翻身動作。前述結論對應量測訊號，可知第一判斷訊號21出現後不一定會出現第二判斷訊號22，但出現第二判斷訊號22前勢必會有第一判斷訊號21出現。因此，第二判斷訊號22的出現得以作為機器學習演算法辨識第一判斷訊號21的訓練資料特徵(feature)。In another embodiment of the present invention, in order to improve the recognition accuracy of the turn-over event, the back-beat event or the lying state, the signal processing module 14 applies a machine learning algorithm for processing. Since the care of turning over can be divided into turning over and turning over and back patted in clinical practice, for example, only turning over and not back patted after the person being cared for eating or drinking. However, in order to perform back-slap care, the caregiver must first turn the cared person over from the lying state, and then perform the back-slapped. In short, the back movement does not necessarily accompany the back movement, but the back movement must have occurred before the back movement. The foregoing conclusion corresponds to the measurement signal. It can be seen that the second determination signal 22 may not necessarily appear after the first determination signal 21 appears, but the first determination signal 21 must appear before the second determination signal 22 appears. Therefore, the appearance of the second judgment signal 22 can be used as a machine learning algorithm to identify the training data feature of the first judgment signal 21.

圖4係本發明之翻身照護偵測系統於另一實施例之流程圖。請參照圖4，當訊號處理模組14接收量測訊號後，便開始訊號預處理以及分類處理工作(步驟S01)。若分類處理過程中，訊號處理模組14判定發生第一判斷訊號21(步驟S02)，訊號處理模組14即會將前述第一判斷訊號21波型截取且暫存在記憶體，並開始計時(步驟S03)。之後，於繼續處理量測訊號的過程(步驟S04)，如果直到預設時間結束訊號處理模組14都沒有判定發生第二判斷訊號22(步驟S05)，則歸零計時器(步驟S07)並清空暫存在記憶體的第一判斷訊號21波型，再繼續處理量測訊號(步驟S01)；於繼續處理量測訊號的過程(步驟S04)，如果在預設時間內判定發生第二判斷訊號22(步驟S05)，則會將暫存在記憶體的第一判斷訊號21波型與前述第二判斷訊號22波型輸入機器學習演算法(步驟S06)，並將前述第一判斷訊號21波型以翻身事件作為標籤(label)，前述第二判斷訊號22波型以拍背事件作為標籤。之後，歸零計時器(步驟S07)並清空暫存在記憶體的第一判斷訊號21波型，再繼續處理量測訊號(步驟S01)。藉由圖4所述流程之處理方式，機器學習演算法可以適應臨床上不同個體的差異，且可以即時性地逐步習得第一判斷訊號21波型與翻身事件的對應關係以及第二判斷訊號22波型與翻身事件加拍背事件的對應關係。長期而言，訊號處理模組14可以同時利用第一閾值31與第二閾值32以及波型作為分類基礎，更精準地判定第一判斷訊號21與第二判斷訊號22是否發生。FIG. 4 is a flowchart of another embodiment of the turn-over care detection system of the present invention. Referring to FIG. 4, after the signal processing module 14 receives the measurement signal, it starts signal preprocessing and classification processing (step S01). If during the classification process, the signal processing module 14 determines that the first determination signal 21 has occurred (step S02), the signal processing module 14 will intercept the waveform of the first determination signal 21 and temporarily store it in the memory, and start timing ( Step S03). After that, in the process of processing the measurement signal (step S04), if the signal processing module 14 does not determine that the second determination signal 22 has occurred until the preset time is over (step S05), the timer is reset (step S07) and Clear the waveform of the first judgment signal 21 temporarily stored in the memory, and then continue to process the measurement signal (step S01); in the process of continuing to process the measurement signal (step S04), if the second judgment signal is determined to occur within the preset time 22 (Step S05), the waveform of the first judgment signal 21 and the waveform of the second judgment signal 22 temporarily stored in the memory are input into the machine learning algorithm (step S06), and the waveform of the first judgment signal 21 is input The rollover event is used as a label, and the waveform of the second determination signal 22 is labeled with the back-beat event. After that, reset the timer (step S07) and clear the waveform of the first judgment signal 21 temporarily stored in the memory, and then continue to process the measurement signal (step S01). With the processing method of the process described in Fig. 4, the machine learning algorithm can adapt to the differences of different individuals in the clinic, and can gradually learn the corresponding relationship between the wave pattern of the first judgment signal 21 and the turn-over event and the second judgment signal 22 in real time. Correspondence between the wave pattern and the turn-over event plus the back-beat event In the long term, the signal processing module 14 can simultaneously use the first threshold 31 and the second threshold 32 and the waveform as a classification basis to more accurately determine whether the first determination signal 21 and the second determination signal 22 have occurred.

舉例而言，對於初次入院病患，採用傳統監督式學習演算法以學習翻身動作與量測訊號間的關聯性，就必須先替躺於床上的病患多次翻身，記錄下翻身時間再與量測訊號比對以取得訓練資料。待訓練完成後才能將系統應用於初次入院病患；採用本發明翻身照護偵測系統1於一實施例之演算法，系統可以直接應用於初次入院病患，先利用第一閾值31作為分類基礎進行分類工作，並同時獲得訓練資料以輸入機器學習演算法，增進分類能力。For example, for patients who are admitted to the hospital for the first time, using traditional supervised learning algorithms to learn the correlation between turning movements and measurement signals, it is necessary to turn the patient on the bed several times, record the turning time, and then communicate with the patient. Measure the signal comparison to obtain training data. After the training is completed, the system can be applied to patients who are admitted for the first time; using the algorithm of the turn-over care detection system 1 of the present invention in one embodiment, the system can be directly applied to patients who are admitted for the first time, first using the first threshold 31 as the basis for classification Carry out classification work and obtain training data at the same time to input machine learning algorithms to improve classification capabilities.

本發明之另一實施例，為區分翻身動作係為往左翻或往右翻，光纖感測墊11可具有多組光纖感應模組12。臨床上翻身照護可以分為往左翻或往右翻，以避免特定位置的皮膚組織長期承受壓力。由於選擇往左翻或往右翻會導致翻身後壓力集中點的不同，藉多組光纖感應模組12得以區分往左翻或往右翻的差異。In another embodiment of the present invention, in order to distinguish whether the turning motion is turning left or turning right, the optical fiber sensing pad 11 may have multiple sets of optical fiber sensing modules 12. Clinically, turning care can be divided into turning left or turning right to avoid long-term pressure on the skin tissue in a specific location. Since the choice of turning left or turning right will result in different pressure concentration points after turning over, multiple sets of optical fiber sensing modules 12 can be used to distinguish the difference between turning left or turning right.

圖5係本發明之翻身照護偵測系統於另一實施例之使用狀態示意圖。請參照圖5，翻身照護偵測系統1包含光纖感測墊11、多組光纖感應模組12、多組光電轉換模組13及訊號處理模組14。當照護人員將被照護者翻身時，各光纖感應模組12的受壓大小會產生變化。訊號處理模組14可接收來自多組光電轉換模組13的量測訊號，歸納出各光纖感應模組12所經受之壓力隨時間增加或減少之多組函數關係，以了解被照護者被移動的方向。FIG. 5 is a schematic diagram of the use state of the turn-over care detection system of the present invention in another embodiment. Please refer to FIG. 5, the turn-over care detection system 1 includes an optical fiber sensing pad 11, multiple sets of optical fiber sensing modules 12, multiple sets of photoelectric conversion modules 13, and a signal processing module 14. When the caregiver turns the caregiver over, the pressure of each optical fiber sensing module 12 will change. The signal processing module 14 can receive measurement signals from multiple sets of photoelectric conversion modules 13, and summarize multiple sets of functional relationships in which the pressure experienced by each optical fiber sensor module 12 increases or decreases over time, so as to understand that the person being cared for is moved Direction.

舉例而言，當被照護者躺臥於圖5所示光纖感測墊11之中間位置，此時位於中間的光纖感應模組12受壓最大。當照護人員將被照護者往右翻動時，中間的光纖感應模組12所承受之壓力會逐漸降低而右方的光纖感應模組12所承受之壓力會逐漸增加。訊號處理模組14根據中間的光纖感應模組12所量測到訊號位準的減少以及右方的光纖感應模組12所量測到訊號位準的增加判定為往右翻。For example, when the person being taken care of lies in the middle position of the optical fiber sensing pad 11 shown in FIG. 5, the optical fiber sensing module 12 in the middle is at the maximum pressure. When the caregiver turns the cared person to the right, the pressure on the fiber sensor module 12 in the middle will gradually decrease, and the pressure on the fiber sensor module 12 on the right will gradually increase. The signal processing module 14 determines that the signal level measured by the optical fiber sensor module 12 in the middle decreases and the signal level increased by the optical fiber sensor module 12 on the right is turned to the right.

舉例而言，當被照護者躺臥於圖5所示光纖感測墊11之右方位置，此時位於右方的光纖感應模組12受壓最大。當照護人員將被照護者往右移動下床時，右方的光纖感應模組12所承受之壓力會逐漸降低而中間的光纖感應模組12所承受之壓力可能不變或逐漸減少。訊號處理模組14根據右方的光纖感應模組12所量測到訊號位準的減少以及中間的光纖感應模組12所量測到訊號位準的維持或減少判定為被照護者離開光纖感測墊11。For example, when the care receiver lies on the right side of the optical fiber sensing pad 11 shown in FIG. 5, the optical fiber sensing module 12 on the right is under the greatest pressure at this time. When the caregiver moves the cared person to the right to get out of bed, the pressure on the right fiber sensor module 12 will gradually decrease, while the pressure on the middle fiber sensor module 12 may remain unchanged or gradually decrease. The signal processing module 14 determines that the care recipient leaves the fiber sensor based on the decrease in the signal level measured by the optical fiber sensor module 12 on the right and the maintenance or decrease of the signal level measured by the optical fiber sensor module 12 in the middle. Test pad 11.

本發明之另一實施例，翻身照護偵測系統1或管理系統4包含比對模組，將各組光電轉換模組13所傳送之量測訊號的位準變化與標準量測訊號的位準變化進行差異比對，並輸出比對是否相同之結果。一般翻身照護流程，首先必須將躺臥病患的手部置於胸前；接著，立起病患膝蓋使腿部彎曲；最後，將病患往側邊翻。常見的臨床問題為照護人員欠缺完善教育訓練或不熟悉翻身技術，而採用錯誤的翻身動作。錯誤的翻身動作可能造成防止局部受壓的效果無法達成，甚至可能造成被照護者受傷。配置複數個本發明之翻身照護偵測系統1以了解被照護者被移動時身體各部位的壓力變化，藉由與一標準動作所造成之壓力變化進行比對以輔助執行教育訓練或提醒錯誤的翻身照護操作。In another embodiment of the present invention, the turn-over care detection system 1 or the management system 4 includes a comparison module, which compares the level change of the measurement signal transmitted by each group of photoelectric conversion modules 13 with the level of the standard measurement signal The changes are compared for difference, and the result of the comparison is output. In the general turn-over care process, the hands of the lying patient must first be placed in front of the chest; then, the patient’s knees are raised to bend the legs; finally, the patient is turned sideways. A common clinical problem is that caregivers lack complete education and training or are unfamiliar with turning techniques, and use wrong turning movements. Wrong turning over may cause the effect of preventing local compression cannot be achieved, and may even cause injury to the person being cared for. A plurality of turn-over care detection systems 1 of the present invention are configured to understand the pressure changes of various parts of the body when the care recipient is moved, and compare the pressure changes caused by a standard action to assist in the implementation of education training or remind errors Turn over to take care of operation.

舉例而言，如圖5所示，配置複數個翻身照護偵測系統1對應於被照護者的胸、腿等位置。當被照護者躺臥時，位於胸以及腿的光纖感測墊11均受到穩定的壓力。此時，訊號處理模組14收到來自胸以及腿的光電轉換模組13所傳送的穩定量測訊號位準；當照護人員將病患膝蓋立起而使腿部彎曲時，由於腿部呈現懸空狀態，因此位於腿的光纖感測墊11壓力驟降。此時，訊號處理模組14收到來自胸的光電轉換模組13所傳送的量測訊號位準維持，以及來自腿的光電轉換模組13所傳送的量測訊號位準減少；當照護人員將病患往右側翻時，位於胸以及腿的光纖感測墊11右側部分壓力驟升。此時，訊號處理模組14收到來自胸以及腿的光纖感測墊11右側之光纖感應模組12所量測而經光電轉換模組13所傳送的量測訊號位準增加。在照護過程中，訊號處理模組14可以建立位於胸以及腿的所有六組光纖感應模組12所量測而經光電轉換模組13所傳送的六組量測訊號時間函數，以判斷被照護者如何被移動。在一實施例中，比對模組將被訓練之照護人員的翻身照護操作所對應產生之多組函數，與提供訓練之照護人員所執行之標準操作之多組函數進行比對，以確認被訓練之照護人員所操作之流程是否正確。使用者亦可配置更多翻身照護偵測系統1涵蓋身體多處部位，提升判斷準確度。For example, as shown in FIG. 5, a plurality of turn-over care detection systems 1 are configured to correspond to the positions of the cared person's chest, legs, etc. When the care receiver is lying down, the fiber optic sensing pads 11 on the chest and legs are all subjected to stable pressure. At this time, the signal processing module 14 receives the stable measurement signal level transmitted by the photoelectric conversion module 13 from the chest and the leg; when the caregiver raises the patient’s knee to bend the leg, the leg appears In the suspended state, the pressure of the optical fiber sensing pad 11 on the leg drops sharply. At this time, the signal processing module 14 receives the level of the measurement signal transmitted by the photoelectric conversion module 13 from the chest is maintained, and the level of the measurement signal transmitted from the photoelectric conversion module 13 from the leg is reduced; When turning the patient to the right, the pressure on the right part of the fiber optic sensing pad 11 located on the chest and legs rises sharply. At this time, the signal processing module 14 receives measurements from the optical fiber sensor module 12 on the right side of the optical fiber sensor pad 11 from the chest and legs, and the level of the measurement signal transmitted by the photoelectric conversion module 13 increases. In the care process, the signal processing module 14 can establish the time function of the six sets of measurement signals measured by all six sets of optical fiber sensor modules 12 located on the chest and legs and transmitted by the photoelectric conversion module 13 to determine whether they are being taken care of. How to be moved. In one embodiment, the comparison module compares the multiple sets of functions corresponding to the turn-over care operations of the trained caregivers with the multiple sets of functions of the standard operations performed by the trained caregivers to confirm that they are Whether the procedures operated by the trained caregivers are correct. Users can also configure more turn-over care detection systems 1 to cover multiple parts of the body to improve the accuracy of judgment.

本發明之另一實施例，為管理多床病患或管理單床病患之複數個翻身照護偵測系統1，翻身照護偵測系統1包含通訊模組15，以有線或無線傳輸方式將資料發送至管理系統4。管理系統4可以是應用於計算機之軟件。傳統臨床上當出現多床的行動不便被照護者時，就必須以人工記錄每位被照護者每一次翻身、翻身與拍背、左翻或右翻的時間，確保定時受到照護。本發明翻身照護偵測系統1除提供自動記錄被照護者每次執行不同翻身照護的時點，亦可將相關資訊對外發送以利管理。Another embodiment of the present invention is to manage multiple turn-over care detection systems 1 for multi-bed patients or manage single-bed patients. The turn-over care detection system 1 includes a communication module 15 that transmits data in a wired or wireless manner. Send to management system 4. The management system 4 may be software applied to a computer. Traditionally, when there are multiple-bed care recipients with limited mobility, it is necessary to manually record the time for each care recipient to turn over, turn over and pat the back, turn left or right, to ensure that they receive regular care. The turn-over care detection system 1 of the present invention not only provides automatic recording of the time points when the cared person performs different turn-over care each time, but also sends relevant information to the outside for management.

圖6係本發明之翻身照護偵測系統於另一實施例之方塊示意圖。請參照圖6，多組翻身照護偵測系統1，各包含光纖感測墊11、光纖感應模組12、光電轉換模組13、訊號處理模組14及通訊模組15。通訊模組15可將發生翻身事件、拍背事件或躺臥狀態之時間點發送到管理系統4。通訊模組15可將量測訊號發送到管理系統4。管理系統4根據各個翻身照護偵測系統1上一次發生翻身事件或拍背事件的時點距離當下是否已超過預設時間，提供管理者警示。FIG. 6 is a block diagram of another embodiment of the turn-over care detection system of the present invention. Please refer to FIG. 6, multiple sets of turn-over care detection systems 1, each including an optical fiber sensing pad 11, an optical fiber sensing module 12, a photoelectric conversion module 13, a signal processing module 14 and a communication module 15. The communication module 15 can send to the management system 4 the time point when the turning over event, the back slap event or the lying state occurs. The communication module 15 can send the measurement signal to the management system 4. The management system 4 provides a warning to the administrator according to whether the distance from the time point of the last turn-over event or the back-slap event of each turn-over care detection system 1 has exceeded the preset time.

1:翻身照護偵測系統 11:光纖感測墊 12:光纖感應模組 13:光電轉換模組 14:訊號處理模組 15:通訊模組 21:第一判斷訊號 22:第二判斷訊號 23:第三判斷訊號 31:第一閾值 32:第二閾值 4:管理系統 S01~S07:步驟 1: Turn over care detection system 11: Fiber optic sensing pad 12: Optical fiber sensor module 13: photoelectric conversion module 14: Signal processing module 15: Communication module 21: The first judgment signal 22: The second judgment signal 23: The third judgment signal 31: first threshold 32: second threshold 4: Management system S01~S07: steps

[圖1]係本發明之翻身照護偵測系統於一實施例之方塊示意圖。 [圖2]係本發明之光纖感測墊於一實施例之使用狀態示意圖。 [圖3A]係翻身事件於一實施例對應第一判斷訊號波型圖。 [圖3B]係拍背事件於一實施例對應第二判斷訊號波型圖。 [圖3C]係躺臥狀態於一實施例對應第三判斷訊號波型圖。 [圖4]係本發明之翻身照護偵測系統於另一實施例之流程圖。 [圖5]係本發明之翻身照護偵測系統於另一實施例之使用狀態示意圖。 [圖6]係本發明之翻身照護偵測系統於另一實施例之方塊示意圖。 [Figure 1] is a block diagram of an embodiment of the turn-over care detection system of the present invention. [Fig. 2] is a schematic diagram of the use state of the optical fiber sensing pad according to an embodiment of the present invention. [FIG. 3A] It is a waveform diagram of the first judgment signal corresponding to the turning over event in an embodiment. [Fig. 3B] A waveform diagram of the second judgment signal corresponding to the back-pattern event in an embodiment. [FIG. 3C] The lying state corresponds to the third judgment signal waveform diagram in an embodiment. [Figure 4] is a flowchart of another embodiment of the turn-over care detection system of the present invention. [Figure 5] is a schematic diagram of the use state of the turn-over care detection system of the present invention in another embodiment. [Figure 6] is a block diagram of another embodiment of the turn-over care detection system of the present invention.

1:翻身照護偵測系統 1: Turn over care detection system

11:光纖感測墊 11: Fiber optic sensing pad

12:光纖感應模組 12: Optical fiber sensor module

13:光電轉換模組 13: photoelectric conversion module

14:訊號處理模組 14: Signal processing module

Claims

一種翻身照護偵測系統，包含：一光纖感測墊，用以供被照護者躺臥於其上；多個光纖感應模組，置於該光纖感測墊本體中，轉換所經受之一壓力為一光訊號；多個光電轉換模組，耦接各該光纖感應模組，轉換該光訊號為一量測訊號；及一訊號處理模組，耦接該些光電轉換模組，建立各該光電轉換模組所傳送之量測訊號之位準之多組函數關係，以判斷被照護者是否移動，並分析該量測訊號以根據該量測訊號之波型特徵判斷一翻身事件、一拍背事件與一躺臥狀態；其中，該翻身事件對應一第一判斷訊號，該第一判斷訊號定義為具有振幅大於一第一閾值之量測訊號；該拍背事件對應一第二判斷訊號，該第二判斷訊號定義為週期發生振幅小於該第一閾值且大於一第二閾值之量測訊號；該躺臥狀態對應一第三判斷訊號，該第三判斷訊號定義為該第一判斷訊號與該第二判斷訊號發生時點以外之該量測訊號。 A turn-over care detection system, comprising: an optical fiber sensing pad for the person to be cared for to lie on; a plurality of optical fiber sensing modules are placed in the optical fiber sensing pad body to convert a pressure experienced by it Is an optical signal; a plurality of photoelectric conversion modules are coupled to each of the optical fiber sensor modules to convert the optical signal into a measurement signal; and a signal processing module is coupled to the photoelectric conversion modules to establish each The multiple functional relationships of the level of the measurement signal transmitted by the photoelectric conversion module are used to determine whether the person being cared for is moving, and the measurement signal is analyzed to determine a turn-over event and a shot based on the wave characteristics of the measurement signal A back event and a lying state; wherein the turn over event corresponds to a first determination signal, the first determination signal is defined as a measurement signal having an amplitude greater than a first threshold; the back beat event corresponds to a second determination signal, The second judgment signal is defined as a measurement signal whose periodic amplitude is less than the first threshold and greater than a second threshold; the lying state corresponds to a third judgment signal, and the third judgment signal is defined as the first judgment signal and The measurement signal other than the point when the second judgment signal occurs.

如請求項1所述之翻身照護偵測系統，其中該第一閾值，使該第一判斷訊號的發生與翻身的發生在統計上顯著正相關。 The turning over care detection system according to claim 1, wherein the first threshold makes the occurrence of the first judgment signal and turning over have a statistically significant positive correlation.

如請求項1所述之翻身照護偵測系統，其中該第二閾值，使該第二判斷訊號的發生與拍背的發生在統計上顯著正相關。 The turn-over care detection system according to claim 1, wherein the second threshold value causes the occurrence of the second determination signal to be statistically significantly positively correlated with the occurrence of the back of the beat.

如請求項1所述之翻身照護偵測系統，其中該訊號處理模組套用一機器學習演算法以執行該翻身事件、該拍背事件與該躺臥狀態之分類。 The turn-over care detection system according to claim 1, wherein the signal processing module applies a machine learning algorithm to perform classification of the turn-over event, the back-slap event, and the lying state.

如請求項4所述之翻身照護偵測系統，當該量測訊號發生該第一判斷訊號後，若於一預設時間內發生該第二判斷訊號，則將該第一判斷訊號之波型及/或該第二判斷訊號之波型輸入該機器學習演算法作為訓練資料。 For the turn-over care detection system described in claim 4, when the measurement signal generates the first determination signal, if the second determination signal occurs within a preset time, the waveform of the first determination signal And/or the waveform of the second judgment signal is input to the machine learning algorithm as training data.

如請求項1所述之翻身照護偵測系統，更包含一比對模組，將該函數關係與一標準操作之函數關係進行差異比對，並輸出比對是否相同之結果。 The turn-over care detection system described in claim 1 further includes a comparison module that performs a difference comparison between the function relationship and a standard operation function relationship, and outputs the result of the comparison whether the comparison is the same.

如請求項1至6任一項所述之翻身照護偵測系統，更包含一通訊模組，適於發送該量測訊號及/或該翻身事件、該拍背事件與該躺臥狀態之發生時點至一管理系統。 The turn-over care detection system according to any one of claims 1 to 6, further comprising a communication module suitable for sending the measurement signal and/or the turn-over event, the back-slap event, and the occurrence of the lying state Point in time to a management system.