Monitoring physiological signals using nonintrusive sensors installed in daily life equipment

详细信息    查看全文

• 作者：Yong Gyu Lim (1)
  Ki Hwan Hong (2)
  Ko Keun Kim (2)
  Jae Hyuk Shin (2)
  Seung Min Lee (2)
  Gih Sung Chung (2)
  Hyun Jae Baek (2)
  Do-Un Jeong (3)
  Kwang Suk Park (4)
  
• 关键词：Nonintrusive ; Capacitively coupled electrode ; Sensor ; installed ; Ubiquitous healthcare
• 刊名：Biomedical Engineering Letters
• 出版年：2011
• 出版时间：February 2011
• 年：2011
• 卷：1
• 期：1
• 页码：11-20
• 全文大小：801KB
• 参考文献：1. Lavie P, Silverberg D, Oksenberg A, Hoffstein V. Obstructive sleep apnea and hypertension: from correlative to causative relationship. J Clin Hypertens. 2001; 3:296鈥?01. CrossRef
  2. Shahar E, Whitney CW, Redline S, Lee ET, Newman AB, Nieto FJ, O鈥檆onnor GT, Boland LL, Schwartz JE, Samet JM. Sleep disordered breathing and cardiovascular disease: cross-sectional results of the sleep heart health study. Am J Respir Crit Care Med. 2001; 163:19鈥?5.
  3. Hung J, Whitford EG, Hillman DR, Parsons RW. Association of sleep apnoea with myocardial infarction in men. Lancet. 1990; 336:261鈥?64. CrossRef
  4. Rechtschaffen A, Kales A. A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects. Los Angeles: Brain information service/Brain Research Institute UCLA; 1977.
  5. Tanaka S, Matsumoto Y, Wakimoto K. Unconstrained and noninvasive measurement of heart-beat and respiration periods using a phonocardiographic sensor. Med Biol Eng Comput. 1992; 40:246鈥?52. CrossRef
  6. Jacobs JL, Embree P, Glei M, Christensen S, Sullivan PK. Characterization of a novel heart and respiratory rate sensor. Conf Proc IEEE Eng Med Biol Soc. 2004; 3:2223鈥?226.
  7. Spillman WB, Mayer M, Bennett J, Gong J, Meissner KE, Davis B, Claus RO, Muelenaer AA, Xu X. A 鈥檚mart鈥?bed for nonintrusive monitoring of patient physiological factors. Meas Sci Tech. 2004; 15:1614鈥?620. CrossRef
  8. Lindberg LG, Ugnell H, Oberg PA. Monitoring of respiratory and heart rates using a fibre-optic sensor. Med Biol Eng Comput. 1992; 30:533鈥?37. CrossRef
  9. Alamets J, Rauhala JE, Huupponena E, Saastamoinen A, Varri A, Joutsen A, Hasan J, Himanenc SL. Automatic detection of spiking events in EMFi sheet during sleep. Med Eng Phys. 2006; 28:267鈥?75. CrossRef
  10. Alihanka J, Vaahtoranta K. A static charge sensitive bed: A new method for recording body movements during sleep. Electroencephalogr Clin Neurophysiol. 1979; 46:731鈥?34. CrossRef
  11. Sato T, Nishinga M, Kawamoto A, Ozawa T, Takatsuji H. Accuracy of a continuous blood pressure monitor based on arterial tonometry. Hypertension. 1993; 21:866鈥?74.
  12. Steptoe, Smulyan H, Gribbin B. Pulse wave velocity and blood pressure change: calibration and applications. Psychophysiology. 1976; 13:488鈥?93. CrossRef
  13. Obrist PA, Light KC, McCubbin JA, Hutcheson JS, Hoffer JL. Pulse transit time: relationship to blood pressure and myocardial performance. Psychophysiology. 1979; 16:292鈥?01. CrossRef
  14. Allen RA, J. Schneider JA, Davidson DM, Winchester MA, Taylor CB. The covariation of blood pressure and pulse transit time in hypertensive patients. Psychophysiology. 1981; 18:301鈥?06. CrossRef
  15. Geddes LA, Voelz MH, Babbs CF, Bourland JD, Tacker WA. Pulse transit time as an indicator of arterial blood pressure. Psychophysiology. 1981; 18:71鈥?4. CrossRef
  16. Marie GV, Lo CR, Jones JV, Johnston DW. The relationship between arterial blood pressure and pulse transit time during dynamic and static exercise. Psychophysiology. 1984; 21:521鈥?27. CrossRef
  17. Sameshima H, Kawagoe Y, Ikenoue T, Sakamoto H. Continuous systolic blood pressure monitoring by the difference in electrocardiogram and pulse oximetry in near-term, exteriorized goat fetuses. J Soc Gynec Invest. 2003; 10:200鈥?04. CrossRef
  18. Sifil A, Bednarz D, Larive B, Garcia M, Lau SM, Paganini EP. Evaluation of the harmonized alert sensing technology device for hemodynamic monitoring in chronic hemodialysis patients. Asaio J. 2003; 49:667鈥?72. CrossRef
  19. Park EK, Cho BH, Park SH, Lee JY, Kim IY, Kim SI. A study on the estimation of continuous blood pressure using PTT and biometric parameters. J Biomed Eng Res. 2006; 27:1鈥?. CrossRef
  20. Chee YJ, Han JM, Youn JW, Park KS. Air mattress sensor system with balancing tube for unconstrained measurement of respiration and heart beat movements. Physiol Meas. 2005; 26:413鈥?22. CrossRef
  21. Chow P, Nagendra G, Abisheganaden J, Wang YT. Respiratory monitoring using an air-mattress system. Physiol Meas. 2000; 21:345鈥?54. CrossRef
  22. Ako M, Kawara T, Uchida S, Miyazaki S, Nishihara K, Mukai J, Hirao K, Ako J, Okubo Y. Correlation between electroencephalography and heart rate variability during sleep. Psychiatry Clin Neurosci. 2003; 57:59鈥?5. CrossRef
  23. Villa MP, Calcagnini G, Pagani J, Paggi B, Massa F, Ronchetti R. Effects of sleep stage and age on short-term heart rate variability during sleep in healthy infants and children. Chest. 2006; 117:460鈥?66. CrossRef
  24. Otzenberger H, Simon C, Gronfier C, Brandenberger G. Temporal relationship between dynamic heart rate variability and electroencephalographic activity during sleep in man. Neurosci Lett. 1997; 229:173鈥?76. CrossRef
  25. Zhuang Z, Gao X, Gao S. The relationship of HRV to sleep EEG and sleep rhythm. Int J Neurosci. 2005; 115:315鈥?27. CrossRef
  26. Chen W, Zhu X, Nemoto T, Kitamura K, Sugitani K, Wei D. Unconstrained monitoring of long-term heart and breath rates during sleep. Physiol Meas. 2008; 29:N1鈥?0. CrossRef
  27. Choi BH, Seo JW, Choi JM, Shin HB, Lee JY, Jeong DU, Park KS. Non-constraining sleep/wake monitoring system using bed actigraphy. Med Biol Eng Comput. 2007; 45:107鈥?14. CrossRef
  28. Ishijima M. Monitoring of electrocardiograms in bed without utilizing body surface electrodes. IEEE Trans Biomed Eng. 1993; 40:593鈥?94. CrossRef
  29. Harland CJ, Clark TD, Prance RJ. Electric potential probes-new directions in the remote sensing of the human body. Meas Sci Technol. 2002; 13:163. CrossRef
  30. Lim YG, Kim KK, Park KS. ECG measurement on a chair without conductive contact. IEEE Trans Biomed Eng. 2006; 53:956鈥?59. CrossRef
  31. Lim YG, Kim KK, Park KS. ECG recording on a bed during sleep without direct skin-contact. IEEE Trans Biomed Eng. 2007; 54:718鈥?25. CrossRef
  32. Kim JS, Park JW, Kim KK, Chee YJ, Lim YG, Park KS. Development of a nonintrusive blood pressure estimation system for computer users. Telemed J e-Health. 2007; 13:57鈥?4. CrossRef
  33. Kim KK, Chee YJ, Lim YG, Choi JW, Park KS. A new method for unconstrained pulse arrival time (PAT) measurement on a chair. J Biomed Eng Res. 2006; 27:83鈥?8.
  34. Imholz BPM, Wieling W, Montfrans GA, Wesseling KH. Fifteen years experience with finger arterial pressure monitoring: assessment of the technology. Cardiovasc Res. 1998; 38:605鈥?16A. CrossRef
  35. Rhee S, Yang BH, Asada HH. Artifact-resistant power-efficient design of finger-ring plethysmographic sensors. IEEE Trans Biomed Eng. 2001; 48:795鈥?05. CrossRef
  36. Wang L, Lo BP, Yang GZ. Multichannel reflective PPG earpiece sensor with passive motion cancellation. IEEE Trans Biomed Circ Syst. 2007; 1:235鈥?41. CrossRef
  37. Cha JY, Choi GS, Shin JY, Lee KJ. Unconstrained respiration and heart rate monitoring system based on a PPG pillow during sleep. Proc IEEE EMBS 2008. 2008; 3224鈥?226.
  38. Baek HJ, Lee HB, Kim JS, Choi JM, Kim KK, Park KS. Nonintrusive biological signal monitoring in a car to evaluate a driver鈥檚 stress and health state. Telemed J E-Health. 2009;15:182鈥?89. CrossRef
  39. Kim JS, Chee YJ, Park JW, Choi JW, Park KS. A new approach for nonintrusive monitoring of blood pressure on a toilet seat. Physiol Meas. 2006;27:203鈥?11. CrossRef
  40. Baek HJ, Chung GS, Kim KK, Kim JS, Park KS. Photoplethysmogram measurement without direct skin-to-sensor contact using an adaptive light source intensity control. IEEE T ITB. 2009;13:1085鈥?088.
  41. Tanaka S, Nogawa M, Yamakoshi K. Fully automatic system for monitoring blood pressure from a toilet-seat using the volume-oscillometric method. Proc IEEE EMBS 2005. 2005;3939鈥?941.
  42. Kim JS, Kim KK, Baek HJ, Park KS. Effect of confounding factors on blood pressure estimation using pulse arrival time. Physiol Meas. 2008;29:615鈥?24. CrossRef
  43. Landaeta RG, Casas O, Areny RP. Heart rate detection from an electronic weighing scale. Physiol Meas. 2008;29:979鈥?88. CrossRef
  44. Watanabe T, Watanabe K. Noncontact method for sleep stage estimation. IEEE Trans Biomed Eng. 2004;51:1735鈥?748. CrossRef
  45. Bao SD, Zhang YT, Shen LF. Physiological signal based entity authentication for body area sensor networks and mobile healthcare systems. Proc IEEE EMBS 2005. 2005;2445鈥?448.
  46. Chan ADC, Hamdy MM, Badre A, Badee V. Wavelet distance measure for person identification using electrocardiograms IEEE T Instrum Meas. 2008;57:248鈥?53. CrossRef
  
• 作者单位：Yong Gyu Lim (1)
  Ki Hwan Hong (2)
  Ko Keun Kim (2)
  Jae Hyuk Shin (2)
  Seung Min Lee (2)
  Gih Sung Chung (2)
  Hyun Jae Baek (2)
  Do-Un Jeong (3)
  Kwang Suk Park (4)
  
  1. Department of Oriental Biomedical Engineering, Sanji University, Wonju, 220-702, Korea
  2. Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, 110-744, Korea
  3. Department of Psychiatry and Behavioral Science, Seoul National University, Seoul, 110-744, Korea
  4. Department of Biomedical Engineering, Seoul National University, Seoul, 110-744, Korea
  
• ISSN：2093-985X

文摘

Purpose With increasing concern for well-being and recent advances in biomedical technology, healthcare is extending beyond the realm of hospitals. Nonintrusive home healthcare monitoring is essential for ensuring long-term use and preservation of an uninterrupted daily life. Herein, we describe recent progress in nonintrusive measurements of ECG, PPG, respiration and blood pressure using sensors installed in everyday household equipment. Methods Ballistocardiograms (BCG) were measured nonintrusively using air mattresses in a loadcell-based system. Electrocardiograms (ECG) were measured using capacitively coupled electrodes without direct contact to exposed bare skin, and these electrodes were installed in chairs, beds, belts and toilet seats. Photoplethysmograms (PPG) were measured over clothes by optimally controlling the input intensity of light and the associated electrodes were installed on chairs. To estimate blood pressure, pulse arrival time (PAT) was calculated from nonintrusively measured ECG and PPG. Blood pressure was estimated using a linear estimating equation with parameters fitted for each subject. Results Heart rate, heart rate variability, and respiration were all derived accurately with high correlation, and blood pressure was estimated from these nonintrusively measured signals. Conclusions By applying nonintrusive methods for measuring biological signals, we can monitor our health status without interrupting ordinary daily activities. This concept can be applied for ubiquitous healthcare, thus extending healthcare beyond hospitals.