Presentation is loading. Please wait.

Presentation is loading. Please wait.

基於血管彈力波及脈衝傳遞時間之多變參數建立血壓估算法

Similar presentations


Presentation on theme: "基於血管彈力波及脈衝傳遞時間之多變參數建立血壓估算法"— Presentation transcript:

1 基於血管彈力波及脈衝傳遞時間之多變參數建立血壓估算法
Development of a Blood Pressure Estimation Based on Femoral Artery Elasticity Wave and Pulse Transit Time Parameters 即時的血壓估算 Adviser: Huang Ji-Jer Presenter:Syu Hao-Yi Date:2014/03/12

2 OUTLINE Introduction Paper Review Materials and Methods
Brief introduction ECG, PPG ,FET background and principles Research on motivation and purpose Paper Review Materials and Methods Sensor application Analog circuits Signal processing Digital Circuits GUI Parameter definition Software flowchart Regression analysis and estimation of blood pressure

3 OUTLINE Results and Discussion Conclusions and Future Work
Analog circuit analysis and measurement Digital filtering assessment and actual measurements Digital filtering results built on firmware Verification system NI/LabWindows GUI Auto gain control setting Experiments Conclusions and Future Work 實驗步驟的依序結果

4 INTRODUCTION 1.INTRODUCTION
Brief introduction Health promotion and fertility decline in mainly reason for the problem of an aging population An international reach 7% of the population aged 65 is an aging , 14% called for aged, 20% called for super-aged 1.醫療保健提升 與生育率下降 是人口老化的主要原因 國際中65歲人口達到7%是高齡化 社會 14%是高齡 社會 20%是超高齡社會 在1990年老年人口有6% 2010年老年人口到了11% 推估在2060年之後老年人口會達到39% 生育率推估在2060年之後會下降到10% 出處:行政院經濟建設委員會人力規劃處101年7月23日

5 INTRODUCTION 1.INTRODUCTION
Brief introduction Cardiovascular defects and disease caused by diet on life 2.生活上飲食上引起心血管缺陷與疾病 這是90年與101年國人10大死因排行 心血管疾病一直都是處於死亡高危險疾病 出處:行政院衛生署

6 INTRODUCTION 1.INTRODUCTION
Brief introduction Growing population, chronic diseases and functional disorders are increasing, except for medical services ,the home care services have been our needs 人口老化不斷成長,慢性疾病與功能性障礙也不斷增加,因此除了醫療服務之外居家照護服務也被我們需求之 利用各種設備收集生理訊號 配合高效率或自動化的管理系統 Photo Source :

7 INTRODUCTION 1.INTRODUCTION
ECG, PPG ,FET background and principles ECG records the heart in nerve conduction arising from potential changes graphics Potential change of the heart begins with the rhythm generator of sinoatrial node (SA node) 1.心電圖為記錄心臟神經傳導所產生電位變化的圖形 2.心臟的電位變化開始於節律產生器的竇房結 Photo Source :

8 INTRODUCTION 1.INTRODUCTION
ECG, PPG ,FET background and principles The electrocardiogram (ECG) or elektrokardiogramm (EKG) is a medical standard for testing the human heart for defects and diseases The typical amplitude of the R wave of the ECG signal is approximately 1 mV 1.心電圖簡稱ECG或EKG是醫用標準用來檢測心臟的疾病或缺陷 2.心電圖R波振幅大約為1mV

9 INTRODUCTION 1.INTRODUCTION
ECG, PPG ,FET background and principles A photoplethysmograph (PPG) the use of light source to measure the blood volume change of the blood vessel Each ECG signal cycle corresponds to a PPG signal PPG訊號是利用光源來量測血流中的血管體積變化 每一個心電週期會展生一個ppg訊號 Photo Source : INVESTIGATION OF NEW ELECTRO - OPTICAL TECHNIQUES FOR MONITORING PATIENTS WITH COMPROMISED PERIPHERAL PERFUSION IN ANAESTHESIA

10 INTRODUCTION 1.INTRODUCTION
ECG, PPG ,FET background and principles PPG signal amplitude with the blood out of the tissue will be directly proportional to the change PPG信號的振幅會隨血液進出組織成正比的變化。因此我們可利用PPG技術,在光被吸收的過程中,反映出動脈血管脈動的現象去分析心血管參數 T2:動脈收縮的時間 T1:動脈舒張的時間 Photo Source : INVESTIGATION OF NEW ELECTRO - OPTICAL TECHNIQUES FOR MONITORING PATIENTS WITH COMPROMISED PERIPHERAL PERFUSION IN ANAESTHESIA

11 1.INTRODUCTION ECG, PPG ,FET background and principles
FET(Femoral artery elasticity wave) 血管彈力波 改良壓脈帶將充飽氣氣囊建置於椅子上 坐在椅子上時體重跟氣囊產生作用產生的血管的彈力訊號

12 1.INTRODUCTION Research on motivation and purpose
Capture ECG 、PPG 、 FET signal characteristics(PAT、HR、TDB、FET) estimate blood pressure The Circuits of Amp. Gain Offset and ADC Regression analysis and estimation of blood pressure ECG PPG FET NI/LabWindows GUI and AGC setting 、data save 擷取ecg ppg訊號特徵利用回歸方式分析出收縮壓與舒張壓 受測者坐在椅子上 量測生理訊號 經過類比電路到NI/Labwindows 訊號調整 資料儲存 後端分析 血壓參數分析 迴歸分析 估算血壓

13 2.PAPER REVIEW Continuous and non-invasive blood pressure measurement methods Tonometric Method Vascular Unloading Method Pulse Transit Time 壓張法(Tonometric Method)、血管無負載法(Vascular Unloading Method)、血壓動態追蹤之低壓量測(恆壓低壓法)、脈衝到達時間(Pulse Transit Time) 、脈衝到達時間間歇性校正等方法,

14 2.PAPER REVIEW Comparison of continuous blood pressure measurement
壓張式血 壓量測 血管無 負載法 脈衝到 達時間 脈衝到達時間 間歇性校正 恆壓 低壓 血壓之動 態低壓量 測 動作雜 訊 收縮壓 舒張壓 平均壓 動態連 續 操作方 便 壓張法的缺點為當感測器位置移動或受到碰撞時表則會影響量測準確性,血管無負載法改善了壓張法的缺點進而達到連續血壓測量,血管無負載法需在測量部位維持一定高壓使舒適性較差,且測量裝置複雜給受測者帶來不方便,恆壓低壓法與血壓動態追蹤之低壓量測方式皆為在壓脈帶保持固定壓力的狀況下,利用感測器來感測壓脈帶的壓力為小變化 ●:符合 ◎:部分符合

15 2.PAPER REVIEW Long-term monitoring topics for various applications about unconstrained or non-contact measurement of physiological signals Mobile Bed Chair Toilet 量測舒適性 更多長期監測在非接觸式或不受約束下(unconstrained)量測生理訊號的各種應用主題 不受約束量測指 居家生活上會發生的行為或使用的物品 強調與生活習慣做結合的量測訊號方法

16 2.PAPER REVIEW A Preliminary Study for Unconstrained Pulse Arrival Time (PAT) Measurement on a Chair Proceedings of the 2005 IEEEEngineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005 Ko Keun Kim1, Youngjoon Chee1, Juwan Park1, Jungsoo Kim1, Yong Kyu Lim1, and Kwang Suk Park2 2005年無約束量測建置在椅子上初步研究

17 2.PAPER REVIEW In this paper, the correlation between the typical PAT and the unconstrained PATs (A-PATs) are compared A-PATs: A-PATs were measured from the pressure pulse of the air cushion (APP) 氣墊

18 2.PAPER REVIEW To validate the correlation with typical PAT, the three feature points was used for the A-PAT as follows: 1) the first minimum point of the APP, 2) the zero crossing point of the APP, and 3) the steepest descent point of the APP 從氣墊訊號分析出 3個位置 斜率變化最陡峭位置 過零點 波谷 得到斜率陡峭位置 與PAT有最高相關性

19 2.PAPER REVIEW A Smart Health Monitoring Chair for Nonintrusive Measurement of Biological Signals Hyun Jae Baek, Gih Sung Chung, Ko Keun Kim, and Kwang Suk Park, Senior Member, IEEE IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 16, NO. 1, JANUARY 2012 2012年 智慧型健康照護監測椅子 針對非侵入測量生理訊號 多個的血壓參數分析

20 2.PAPER REVIEW PAT was substituted by RJ interval(RJI), defined as the time interval from ECG R peak to BCG J peak 5位受測者的血壓參數分析

21 2.PAPER REVIEW PAPER REVIEW1
Effect of confounding factors on blood pressure estimation using pulse arrival time This article has been downloaded from IOPscience. Please scroll down to see the full text article.2008 Physiol. Meas (http://iopscience.iop.org/ /29/5/007) Jung Soo Kim, Ko Keun Kim, Hyun Jae Baek and Kwang Suk Park 2008年 基於脈衝到達時間與混雜因素(HR TDB) 對於估算血壓的效果

22 2.PAPER REVIEW 血壓參數的盒形圖結果顯示 PAT與多變數對於收縮壓皆有良好貢獻度 皆0.7以上 PAT對於舒張壓迴歸係數範圍分布較大 多變數分析可以大幅改善分布情形到0.7以上 散布圖分布 在舒張壓 單邊數的血壓在5mmHg之外的血壓較多 多變數血壓明顯往5mmHg集中

23 2.PAPER REVIEW Enhancing the estimation of blood pressure using pulse arrival time and two confounding factors This article has been downloaded from IOPscience. Please scroll down to see the full text article.2010 Physiol. Meas (http://iopscience.iop.org/ /31/2/002) Hyun Jae Baek, Ko Keun Kim, Jung Soo Kim, Boreom Lee and Kwang Suk Park 2010年 基於脈衝到達時間與混雜因素(HR與TDB)加強估算血壓

24 2.PAPER REVIEW Methods Clinical data from dental anesthesia
Data from unconstrained biological signal measurement systems Application on a toilet seat Application in a vehicle Application at a computer 實驗分為兩大部分 臨床的牙科麻醉實驗與不受約束進行的實驗(包含如廁 與坐駕 在辦公桌)

25 2.PAPER REVIEW 2.PAPER REVIEW2 Results() BP=a+b*PAT
BP=a+b*PAT+c*HR*d*TDB Performance enhancement for BP estimation by inclusion of confounding factors in clinical data under dental anesthesia. Performance enhancement for BP estimation by inclusion of confounding factors in the unconstrained data.

26 3.Materials and Methods PPG sensor
Reflective Optical Sensor with Transistor Output The CNY70 is a reflective sensor that includes an infrared emitter and phototransistor in a leaded package which blocks visible light Detector type: phototransistor • Dimensions (L x W x H in mm): 7 x 7 x 6 • Peak operating distance: < 0.5 mm Typical output current under test: IC = 1 mA • Emitter wavelength: 950 nm • Daylight blocking filter

27 3.Materials and Methods ECG&FET Sensor SCC Series pressure sensors
0...5 to psi Low cost sensor element Internal temperature compensation Differential, gage and absolute Disposable ECG electrodes pads FET訊號採用SCC系列的感測器 0到5或0到100磅的範圍 內部溫度補償 氣囊袋的差壓,表面的壓力

28 3.Materials and Methods Analog circuits
ECG,PPG and FET block diagram of the measurement circuit

29 3.Materials and Methods Microprocessor ECG LP Filter(100Hz)
ECG-RL FET PPG&ECG-LA ECG-RA Microprocessor LP Filter(100Hz) HP Filter(0.5Hz) Notch(60Hz) AGC ECG LP Filter(22Hz) PPG 3.Materials and Methods

30 3.Materials and Methods Analog circuit
ECG、FET second-order high-pass circuit

31 3.Materials and Methods Analog circuit
ECG、PPG、FET second-order low-pass circuit

32 3.Materials and Methods Analog circuit
ECG、PPG、FET notch filter circuit

33 3.Materials and Methods Analog circuits
Auto gain control block diagram

34 MSP430 Offset Gain Analog Signal 4bit ………… 4051 Output
R50 R49 4bit MSP430 Offset Gain Analog Signal Latch 8bit ………… Rm R47 Differential Amplifier Vin Vf Voffset G2 G1 G0 G3 OP inverting amplifier G6 G5 G4 G7 Rg Output 4051 R48 R61 R51 R24 R25 R60

35 3.Materials and Methods Analog circuits Offset circuits 式1 式2 式3 式4 式5
先經過從疊定裡式1式2 再經過差動放大器式3 化減完式6 式3 式4 式5 式6

36 3.Materials and Methods 3.Materials and Methods Analog circuits
Offset circuits Rm/ ohm 準位調整 24k 0.4347 30k 0.2631 36k 0.1020 40k 0.0000 47k 51k 56k 62k

37 3.Materials and Methods Analog circuits Gain circuits

38 3.Materials and Methods Signal processing
Type Cascade form and Direct form Butterworth design a five order low-pass filter five order high-pass filter and notch filter High-pass cut-off frequency (fc) of 0.5Hz to eliminate baseline drift 60Hz stop-band filter (Notch) to filter out noise in utility power 我們用直接型與間接型設計巴特沃斯濾波器 5階高通跟低通 還有設計帶拒濾波器

39 3.Materials and Methods Signal processing
Filter system transfer function bm與an是濾波器係數 a0=1 an不為0 IIR濾波器n階數 上公式是濾波器函數 下公式是IIR濾波器差分方程式

40 3.Materials and Methods Signal processing
Direct form structure diagram 直接型架構設計帶拒(notch)濾波器 Xn是輸入訊號 N與M為階數 產生ab係數得到輸出訊號

41 3.Materials and Methods Signal processing Cascade form
Signal processing sub-process calculates its output into the relationship 串聯式(cascade) 在訊號處理過程中分段計算出其輸出入的關係 式wk為濾波器過程中所需的中間值 式yk為輸出與中間值與轉換關係式

42 3.Materials and Methods Signal processing
Cascade form structure diagram 間接型的架構圖 每次輸入訊號得到中間值 然後在中間值與輸出關係得到輸出訊號

43 3.Materials and Methods Signal processing
High pass and low pass 5 order、notch in Matlab filter before in Matlab filter after in Matlab

44 3.Materials and Methods Signal processing
Multi-scale Mathematical Morphology (3M filter), based on set operations, provides a way to analyze signals using nonlinear signal processing operators that incorporate the geometry information of the signal 非線性的訊號處理 利用訊號的幾何資訊做形態學的濾波

45 3.Materials and Methods Signal processing
The shape information of the signal is extracted by using a structure element to operate on the signal, such operators serve two purposes, i.e. extracting the useful signal and removing the artifacts 利用訊號的形態特徵 設計出濾波須用的結構函數 應用在特徵擷取 以及濾波

46 3.Materials and Methods Signal processing 3M Filter related equations
侵蝕與膨脹的公式 做開運算與閉運算

47 3.Materials and Methods Signal processing
In this stage, the 3M filter used to eliminate baseline drift and reduce interference noises (motion artifacts, muscle contraction)

48 3.Materials and Methods Signal processing
PPG signal, PPG 1st derivative, PPG 2nd derivative, and the process of peak detection

49 3.Materials and Methods Signal processing
Find out 1st derivative local maxima To find zero-crossing point PPG derivative local maxima ,crossing zero

50 3.Materials and Methods Digital Circuits
BP estimates System Architecture AGC Physiological signal MSP430F5438A A/D 12bit DSP(Filter 、AGC) UART DSP Matlab GUI& Analysis,SPSS NI/LabWindows GUI

51 Intialization a.Port b.timer c.ADC
3.Materials and Methods Digital Circuits Firmware Flowchart Stat Intialization a.Port b.timer c.ADC AGC Notch HP 5 order LP 5 order Interface END

52 3.Materials and Methods GUI National Instruments/LabWindow CVI 9.0
訊號顯示 增益與準位調整 RS232設定 資料儲存

53 3.Materials and Methods Blood pressure parameter definition
PAT:Pulse arrive time HR:RRinterval TDB:Arterial stiffness index FET: femoral artery elastic wave time parameters HR PAT TDB FET

54 3.Materials and Methods Software flowchart
Matlab GUI Regression analysis and estimation of blood pressure SPSS About the correlation between the legs BP = a + b * PAT + c * HR + d * TDB + e * FET Stat Detrend Filter(LP、HP、Notch) Normalize Peak detector END

55 4. Results and Discussion
Analog circuit analysis and measurement ECG High pass filter PSpice circuit simulation frequency response

56 4. Results and Discussion
Analog circuit analysis and measurement ECG Actual measuring high-pass circuit Bode fch:0.58Hz

57 4. Results and Discussion
Analog circuit analysis and measurement ECG Low pass filter PSpice circuit simulation frequency response

58 4. Results and Discussion
Analog circuit analysis and measurement ECG Actual measuring low-pass circuit Bode fcl:86.7Hz

59 4. Results and Discussion
Analog circuit analysis and measurement ECG Notch filter PSpice circuit simulation frequency response

60 4. Results and Discussion
Analog circuit analysis and measurement ECG Actual measuring notch circuit Bode

61 4. Results and Discussion
Analog circuit analysis and measurement PPG Low pass filter PSpice circuit simulation frequency response

62 4. Results and Discussion
Analog circuit analysis and measurement PPG Actual measuring low-pass circuit Bode fcl:27.1Hz

63 4. Results and Discussion
Analog circuit analysis and measurement PPGG Notch filter PSpice circuit simulation frequency response

64 4. Results and Discussion
Analog circuit analysis and measurement PPG Actual measuring notch circuit Bode

65 4. Results and Discussion
Analog circuit analysis and measurement The actual circuit diagram ECG FET(R) FET(L) PPG Main board

66 4. Results and Discussion
Digital filtering assessment and actual measurements In the rear of the system analyzed using 3M filter to eliminate baseline measurements obtained with ECG and PPG signals Determine structural elements

67 4. Results and Discussion
Signal filtering results with R-wave detection

68 4. Results and Discussion
式5 Digital filtering assessment and actual measurements In the better than part of 3M filter eliminates baseline IIR filter 單邊功率頻譜表示 0Hz (watts/hertz) 0~0.5Hz 0.5~45Hz IIR Filter 3M Filter

69 4. Results and Discussion
Digital filtering results built on firmware 1ms

70 4. Results and Discussion
Digital filtering results built on firmware Filter before in Matlab Filter after in Matlab Filter after in MCU

71 4. Results and Discussion
Verification system Contact measurement ECG compared with commercially available instruments

72 4. Results and Discussion
NI/LabWindows GUI

73 4. Results and Discussion
Auto gain control setting Gain and offset adjustment 0.1x 0.3x 0.6x 1.0x

74 4. Results and Discussion
Summary Sensors application and analog circuit design Filter circuit Offset and Gain AGC circuit Signal processing and firmware build IIR Filter 3M Filter NI/LabWindows GUI Waveform display AGC Adjustment Data storage

75 4. Results and Discussion
Experiments Four waveform measurement system Signal feature extraction

76 4. Results and Discussion
Experiments BP estimation parameters analysis 後端分析 訊號的特徵擷取

77 4. Results and Discussion
Experiments(FET correlation between the legs) About the correlation between the legs FET accounted for HR time proportion System Initial 系統量測(R-peak、FET(R)-peak、 FET(L)-peak) 3min Over 實驗描述: 左右腿的彈力訊號的相關性 在FET的時間佔了HR的的時間比例

78 4. Results and Discussion
Experiments(FET correlation between the legs) Total : ECG 、FET(R)、FET(L) peak number Se : success rate Corr : FET correlation between left and right legs Time Total(beats) True(beats) Se Corr FET(R)/RRI FET(L)/RRI A 3min 198 194 B 332 322 C 225 223 D 263 258 E 252 249

79 4. Results and Discussion
Experiments(estimation blood pressure) System Initialization Cuff pressure measuring Contact system and finomerter simultaneous measurement Over 實驗描述 估算血壓實驗 t 5min System Initial Cuff 量測 系統量測/動態式 血壓儀器量測 Rest 2min 3min Over T:17min 取標準差 取平均值

80 4. Results and Discussion
Experiments(estimation blood pressure) Finometer is a noninvasive hemodynamic cardiovascular monitor based on the measurement of finger arterial pressure Finometer是基於手指動脈壓的測量一種無創血流動力學監測心血管

81 4. Results and Discussion
Experiments(estimation blood pressure) The actual figure Finometer Contact system Cuff pressure

82 4. Results and Discussion
Experiments(estimation blood pressure) Blue: Finometer pressure signal Black: ECG Signal Red: PPG Signal Green: Right leg femoral artery pressure Yellow: Left femoral artery pressure

83 4. Results and Discussion
Experiments(estimation blood pressure) Single- and multiple-regression analysis BP=a+b*PAT+c*HR+d*TDB+e*FAP

84 4. Results and Discussion

85 4. Results and Discussion
Experiments(estimation blood pressure) Performance of cuffless BP estimation with regard to combinations of parameters used in regression analysis SBP DBP Variable R R^2 Adj.R^2 PAT PAT+HR PAT+TDB PAT+FET PAT+HR+TDB PAT+HR+FET PAT+HR+TDB+FET 0.6032

86 4. Results and Discussion
Experiments(estimation blood pressure) SBP Scatter plot 5mmHg 5mmHg SBP的散布點 不管是單參數還是多參數均可集中在5mmHg之內

87 4. Results and Discussion
Experiments(estimation blood pressure) DBP Scatter plot 5mmHg 5mmHg

88 4. Results and Discussion
Experiments(estimation blood pressure) Boxplots

89 4. Results and Discussion
Experiments(estimation blood pressure) Reproducibility of multiple regression analysis for BP estimation

90 4. Results and Discussion
Experiments(estimation blood pressure) Reproducibility of multiple regression analysis for BP estimation t 5min System Initial Cuff 量測 系統量測/動態式 血壓儀器量測 Rest 2min 3min Over T:17min 取標準差 取平均值

91 4. Results and Discussion
Experiments(estimation blood pressure) Reproducibility of multiple regression analysis for BP estimation

92 4. Conclusions and Future Work
3M Filter remove baseline drift better than IIR filter FET high correlation between the legs average of 0.844 Multiple regression analysis for SBP and DBP estimation ,r and r^2 of SBP was ,r and r^2 of DBP was The estimated BP was compared with the measured BP simultaneously ,the performance results of this test set decrease a little 結論 1.3M濾波器去除基線漂移有良好表現 2.完成5位健康年輕的男性 紀錄3分鐘的左右腿血管彈力訊號有高相關性 平均0.844 3.完成10位健康年輕的男性 新增FET之多參數分析 R為 R^2 為0.610 4.從10位實驗對象得到估算血壓公式與市售血壓儀器做一連串比較 test資料比traing較低(SBP ) (DBP )

93 4. Conclusions and Future Work
PPG to be more stable Build different filters in MCU Analyze more subjects FET possibility to replace the TDB parameters Unconstrained system for BP estimation and application to home care system or firmware development 未來工作 1.PPG訊號之TDB參數 PPG訊號易被手部移動干擾與肌肉顫抖(motion artifact)所影響 PPG穩定極為重要 2. 建置不同濾波器在單晶片系統 3.實驗對象方面,目前只有健康男性的樣本,在未來的研究希望更廣的年齡成分布或有心血管疾病患者的資料分析 4.觀察老年人PPG波形的第二波鋒 研究FET訊號對於取代TDB參數的可能性 5.FET參數與SBP跟DBP關係(振幅 時間 斜率的顯著性) 6.不受約束估算血壓量測 應用在 (坐駕 如廁 床 椅子)或穿戴式韌體開發 手錶(開發不受約束量測血壓技術 )

94 References 中華民國2012年至2060年人口推計,行政院經濟建設委員會人力規劃處,2012
P. Kyriacou, “Investigation of new clectro-optical techniques for monitoring patients with compromised peripheral perfusion in anaesthesia,” 2001 徐大川,連續血壓系統的改良與驗證,國立中央大學電機工程學系碩士論文,2008 游生益,非接觸式心搏率量測系統應用於心跳變益率監測,南台科技大學電機工程研究所碩士論文,2012 J. S. Kim , K. K. Kim , H. J. Baek and K. S. Park  "Effect of confounding factors on blood pressure estimation using pulse arrival time",  Physiol. Meas.,  vol. 29,  pp   H. J. Baek , K. K. Kim , J. S. Kim , B. Lee and K. S. Park  "Enhancing the estimation of blood pressure using pulse arrival time and two confounding factors",  Physiol. Meas.,  vol. 31,  pp   

95 References Κ. L. Kim , Y. Chee , J. Park , J. Kim , Y. Κ. Lim and Κ. S. Park  "A preliminary study for unconstrained pulse arrival time (PAT) measurements on a chair",  27th Annual International Conference of IEEE Engineering in Medicine and Biology Society,  2005 Hyun, J.B.; Gih, S.C.; Ko, K.K.; Kwang, S.P. A Smart health monitoring chair for nonintrusive measurement of biological signals. IEEE Trans. Inform. Technol. Biomed. 2012, 16, 150–158. 101年死因統計結果分析,行政院衛生署,2012 Abe, H., Chen, W., Togawa, T., Maeda, T., & Arai, R. (2007, November). Development of a mobile phone based beat-by-beat sphygmomanometer. InInformation Technology Applications in Biomedicine, ITAB th International Special Topic Conference on (pp ). IEEE.

96 References Lee, J. S., Chung, G. S., Beak, H. J., Lim, Y. G., Lee, J. S., Jeong, D. U., & Park, K. S. (2009, November). A new approach of unconstrained sleep monitoring and pulse arrival time extraction using PPG pillow and CC-ECG electrode system. In Information Technology and Applications in Biomedicine, ITAB th International Conference on (pp. 1-3). IEEE.

97 Thank you for your attention


Download ppt "基於血管彈力波及脈衝傳遞時間之多變參數建立血壓估算法"

Similar presentations


Ads by Google