Korean journal of health promotion

Korean Society for Health Promotion and Disease Prevention (대한임상건강증진학회)
권호 표지

Wearable Physiologic Monitoring System in Health Promotion

의복형 생체신호 모니터링을 이용한 건강증진 시스템

  • Kim, Jun-Su (Department of Family Medicine, Busan Paik Hospital, Inje University College of Medicine) ;
  • Lee, Ka-Young (Department of Family Medicine, Busan Paik Hospital, Inje University College of Medicine) ;
  • Yoo, Cheol-Seung (School of Computer Aided Science & Institute of Basic Science, Inje University) ;
  • Kim, Tae-Woong (School of Computer Engineering & Ubiquitous Healthcare Research Center, Inje University) ;
  • Yi, Sang- Hoon (School of Computer Aided Science & Institute of Basic Science, Inje University) ;
  • Kim, Hee-Cheol (School of Computer Engineering & Ubiquitous Healthcare Research Center, Inje University)
  • 김준수 (인제대학교 의과대학 부산백병원 가정의학과교실) ;
  • 이가영 (인제대학교 의과대학 부산백병원 가정의학과교실) ;
  • 유철승 (인제대학교 컴퓨터응용과학부) ;
  • 김태웅 (인제대학교 컴퓨터공학부) ;
  • 이상훈 (인제대학교 컴퓨터응용과학부) ;
  • 김희철 (인제대학교 컴퓨터공학부)
  • Published : 2011.03.30
⟨ Previous Next ⟩

Abstract

With the development of body sensor technology, wearable health monitoring systems have been an emerging information technology in the 'ubiquitous health care' system. Wearable sensors enable long-term continuous physiological monitoring important in health promotion and management of many chronic disorders. In this paper, we present several wearable health monitoring systems developed by different countries and discuss emerging opportunities, as well as, existing challenges such as standardization, administration, validation, and discrepancy issues between technology and clinical implication.

생체 신호센서 기술의 발전으로 의복형 생체 신호 모니터링 시스템은 U-헬스 영역에서 각광 받는 분야로 떠오르고 있다. 의복형 센서는 장시간의 생체신호 모니터링을 통하여 건강증진 및 여러 만성질환, 신경 정신 질환의 치료에도 도움을 주고 있다. 본 종설에서는 각국의 의복형 생체 신호 모니터링 시스템의 사례를 기술하고, 향후 전망과 표준화, 행정적 관점, 타당성 문제, 기술과 임상적 응용의 차이점 등에 대해서 논의한다.

Keywords

References

  1. Bonato P. Wearable sensors/systems and their impact on biomedical engineering. IEEE Eng Med Biol Mag 2003;22(3):1820.
  2. Picard RW. Future affective technology for autism and emotion communication. Philos Trans R Soc Lond B Biol Sci 2009; 364(1535):3575-84. https://doi.org/10.1098/rstb.2009.0143
  3. Hauenstein L, Gao T, White D. Service-oriented architecture for disaster response: integration of AID-N, MICHAELS, WISER, and ESSENCE. AMIA Annu Symp Proc 2006:944.
  4. Scanaill CN, Ahearne B, Lyons GM. Long-term telemonitoring of mobility trends of elderly people using SMS messaging. IEEE Trans Inf Technol Biomed 2006;10(2):412-3. https://doi.org/10.1109/TITB.2005.859890
  5. McCombie DB, Shaltis PA, Reisner AT, Asada H. Adaptive hydrostatic blood pressure calibration: development of a wearable, autonomous pulse wave velocity blood pressure monitor. Conf Proc IEEE Eng Med Biol Soc 2007;2007:370-3.
  6. Fanelli A, Ferrario M, Piccini L, Andreoni G, Matrone G, Magenes G, et al. Prototype of a wearable system for remote fetal monitoring during pregnancy. Conf Proc IEEE Eng Med Biol Soc 2010;2010:5815-8.
  7. Poh MZ, Loddenkemper T, Swenson NC, Goyal S, Madsen JR, Picard RW. Continuous monitoring of electrodermal activity during epileptic seizures using a wearable sensor. Conf Proc IEEE Eng Med Biol Soc 2010;2010:4415-8.
  8. Lagoda HL, Wilson LL, Henning WR, Flowers SL, Mills EW. Subjective and objective evaluation of veal lean color. J Anim Sci 2002;80(7):1911-6. https://doi.org/10.2527/2002.8071911x
  9. Anliker U, Ward JA, Lukowicz P, Tröster G, Dolveck F, Baer M, et al. AMON: a wearable multiparameter medical monitoring and alert system. IEEE Trans Inf Technol Biomed 2004;8(4):415-27. https://doi.org/10.1109/TITB.2004.837888
  10. Wukitsch MW, Petterson MT, Tobler DR, Pologe JA. Pulse oximetry: analysis of theory, technology, and practice. J Clin Monit 1988;4(4):290-301. https://doi.org/10.1007/BF01617328
  11. Cheng MH, Chen LC, Hung YC, Yang CM. A real-time maximum- likelihood heart-rate estimator for wearable textile sensors. Conf Proc IEEE Eng Med Biol Soc 2008;2008:254-7.
  12. Nuhr M, Hoerauf K, Joldzo A, Frickey N, Barker R, Gorove L, et al. Forehead SpO2 monitoring compared to finger SpO2 recording in emergency transport. Anaesthesia 2004;59(4):390-3. https://doi.org/10.1111/j.1365-2044.2004.03673.x
  13. Taylor SA, Sharif H. Wearable patient monitoring application (ECG) using wireless sensor networks. Conf Proc IEEE Eng Med Biol Soc 2006;1:5977-80.
  14. Welch J, Guilak F, Baker S. A wireless ECG smart sensor for broad application in life threatening event detection. Conf Proc IEEE Eng Med Biol Soc 2004;5:3447-9.
  15. Ní Scanaill C, Carew S, Barralon P, Noury N, Lyons D, Lyons GM. A review of approaches to mobility telemonitoring of the elderly in their living environment. Ann Biomed Eng 2006; 34(4):547-63. https://doi.org/10.1007/s10439-005-9068-2
  16. Noury N, Dittmar A, Corroy C, Baghai R, Weber JL, Blanc D, et al. VTAMN--a smart clothe for ambulatory remote monitoring of physiological parameters and activity. Conf Proc IEEE Eng Med Biol Soc 2004;5:3266-9.
  17. Uen S, Weisser B, Wieneke P, Vetter H, Mengden T. Evaluation of the performance of a wrist blood pressure measuring device with a position sensor compared to ambulatory 24-hour blood pressure measurements. Am J Hypertens 2002;15(9):787-92. https://doi.org/10.1016/S0895-7061(02)02979-5
  18. Millasseau SC, Guigui FG, Kelly RP, Prasad K, Cockcroft JR, Ritter JM, et al. Noninvasive assessment of the digital volume pulse. Comparison with the peripheral pressure pulse. Hypertension 2000;36(6):952-6. https://doi.org/10.1161/01.HYP.36.6.952
  19. Awad AA, Ghobashy MA, Stout RG, Silverman DG, Shelley KH. How does the plethysmogram derived from the pulse oximeter relate to arterial blood pressure in coronary artery bypass graft patients? Anesth Analg 2001;93(6):1466-71. https://doi.org/10.1097/00000539-200112000-00022
  20. Park M, Kang H, Huh Y, Kim KC. Cuffless and noninvasive measurement of systolic blood pressure, diastolic blood pressure, mean arterial pressure and pulse pressure using radial artery tonometry pressure sensor with concept of Korean traditional medicine. Conf Proc IEEE Eng Med Biol Soc 2007; 2007:3597-600.
  21. Suzuki S, Oguri K. Cuffless blood pressure estimation by error- correcting output coding method based on an aggregation of AdaBoost with a photoplethysmograph sensor. Conf Proc IEEE Eng Med Biol Soc 2009;2009:6765-8.
  22. Myllylä TS, Elseoud AA, Sorvoja HS, Myllylä RA, Harja JM, Nikkinen J, et al. Fibre optic sensor for non-invasive monitoring of blood pressure during MRI scanning. J Biophotonics 2011;4(1-2):98-107. https://doi.org/10.1002/jbio.200900105
  23. Mathie MJ, Coster AC, Lovell NH, Celler BG. Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiol Meas 2004; 25(2):R1-20. https://doi.org/10.1088/0967-3334/25/2/R01
  24. Scheer FA, Wright KP Jr, Kronauer RE, Czeisler CA. Plasticity of the intrinsic period of the human circadian timing system. PLoS One 2007;2(1):e721. https://doi.org/10.1371/journal.pone.0000721
  25. Sanches JM, Pereira B, Paiva T. Headset Bluetooth and cell phone based continuous central body temperature measurement system. Conf Proc IEEE Eng Med Biol Soc 2010;2010: 2975-8.
  26. Jovanov E, Lords AO, Raskovic D, Cox PG, Adhami R, Andrasik F. Stress monitoring using a distributed wireless intelligent sensor system. IEEE Eng Med Biol Mag 2003;22(3): 49-55. https://doi.org/10.1109/MEMB.2003.1213626
  27. Ahlstrom C, Johansson A, Lanne T, Ask P. A respiration monitor based on electrocardiographic and photoplethysmographic sensor fusion. Conf Proc IEEE Eng Med Biol Soc 2004;3: 2311-4.
  28. Kotani K, Hidaka I, Yamamoto Y, Ozono S. Analysis of respiratory sinus arrhythmia with respect to respiratory phase. Methods Inf Med 2000;39(2):153-6.
  29. Johansson A. Neural network for photoplethysmographic respiratory rate monitoring. Med Biol Eng Comput 2003;41(3): 242-8. https://doi.org/10.1007/BF02348427
  30. Catrysse M, Puers R, Hertleer C, Van Langenhove L, van Egmond H, Matthys D. Towards the integration of textile sensors in a wireless monitoring suit. Sensors and Actuators A: Physical 2004;114(2-3):302-11. https://doi.org/10.1016/j.sna.2003.10.071
  31. Larsson P, Henriksson-Larsén K. Combined metabolic gas analyser and dGPS analysis of performance in cross-country skiing. J Sports Sci 2005;23(8):861-70. https://doi.org/10.1080/02640410400022078
  32. Terrier P, Schutz Y. How useful is satellite positioning system (GPS) to track gait parameters? A review. J Neuroeng Rehabil 2005;2:28. https://doi.org/10.1186/1743-0003-2-28
  33. Terrier P, Turner V, Schutz Y. GPS analysis of human locomotion: further evidence for long-range correlations in strideto- stride fluctuations of gait parameters. Hum Mov Sci 2005; 24(1):97-115. https://doi.org/10.1016/j.humov.2005.03.002
  34. Tan H, Wilson AM, Lowe J. Measurement of stride parameters using a wearable GPS and inertial measurement unit. J Biomech 2008;41(7):1398-406. https://doi.org/10.1016/j.jbiomech.2008.02.021
  35. Lucani D, Cataldo G, Cruz J, Villegas G, Wong S. A portable ECG monitoring device with Bluetooth and Holter capabilities for telemedicine applications. Conf Proc IEEE Eng Med Biol Soc 2006;1:5244-7.
  36. Soueid A. A new tool for the operating surgeon: a Bluetooth mobile phone headset. Burns 2006;32(7):927-8. https://doi.org/10.1016/j.burns.2006.03.007
  37. Qian H, Loizou PC, Dorman MF. A phone-assistive device based on Bluetooth technology for cochlear implant users. IEEE Trans Neural Syst Rehabil Eng 2003;11(3):282-7. https://doi.org/10.1109/TNSRE.2003.816871
  38. Lou E, Fedorak MV, Hill DL, Raso JV, Moreau MJ, Mahood JK. Bluetooth wireless database for scoliosis clinics. Med Biol Eng Comput 2003;41(3):346-9. https://doi.org/10.1007/BF02348441
  39. Grossmann U, Kunze C, Stork W, Müller-Glaser KD. Mobile ECG with Bluetooth communication. Biomed Tech (Berl) 2002;47(Suppl 1):363-4. https://doi.org/10.1515/bmte.2002.47.s1a.363
  40. Bogonez-Franco P, Bragos R, Bayes-Genis A, Rosell-Ferrer J. Implantable bioimpedance monitor using ZigBee. Conf Proc IEEE Eng Med Biol Soc 2009;2009:4868-71.
  41. Stahl JE, Holt JK, Gagliano NJ. Understanding performance and behavior of tightly coupled outpatient systems using RFID: initial experience. Med Syst 2009 Sep 10 [Epub ahead of print].
  42. Iadanza E, Dori F, Miniati R, Bonaiuti R. Patients tracking and identifying inside hospital: a multilayer method to plan an RFId solution. Conf Proc IEEE Eng Med Biol Soc 2008;2008:1462-5.
  43. You JS, Park S, Chung SP, Park JW. Could new communication systems be used to advise public in emergency situations? The HSDPA/WCDMA-based video telephony application to pre-hospital care medicine. Emerg Med J 2009;26(2):152-3. https://doi.org/10.1136/emj.2007.053256
  44. Kane NA, Simmons MC, John D, Thompson DL, Bassett DR. Validity of the Nike+ device during walking and running. Int J Sports Med 2010;31(2):101-5. https://doi.org/10.1055/s-0029-1242810
  45. Koehler K, Braun H, de Marées M, Fusch G, Fusch C, Schaenzer W. Assessing energy expenditure in male endurance athletes: validity of the Sensewear Armband. Med Sci Sports Exerc 2010 Dec 1 [Epub ahead of print].
  46. Jakicic JM, Marcus M, Gallagher KI, Randall C, Thomas E, Goss FL, et al. Evaluation of the SenseWear Pro Armband to assess energy expenditure during exercise. Med Sci Sports Exerc 2004;36(5):897-904.
  47. Calabró MA, Welk GJ, Eisenmann JC. Validation of the SenseWear Pro Armband algorithms in children. Med Sci Sports Exerc 2009;41(9):1714-20. https://doi.org/10.1249/MSS.0b013e3181a071cf
  48. Giobbi G. Evaluation of total energy expenditure in adult, overweight and free-living subjects. A comparison between two methods: factorial method vs SenseWear Armband "Metabolic Holter". Clin Ter 2008;159(6):405-7.
  49. "Smart shirt" can save lives on the battlefield. Telemed Virtual Real 1998;3(5):51, 55.
  50. Kyle AM, Rogers PI, Han S, Chen PS, March KL. LifeShirt acquisition system to monitor ECG from ambulatory swine and the implementation of an arrhythmia detection algorithm. Conf Proc IEEE Eng Med Biol Soc 2009;2009:4820-3.
  51. Goodrich S, Orr WC. An investigation of the validity of the Lifeshirt in comparison to standard polysomnography in the detection of obstructive sleep apnea. Sleep Med 2009;10(1): 118-22. https://doi.org/10.1016/j.sleep.2007.11.003
  52. Halín N, Junnila M, Loula P, Aarnio P. The LifeShirt system for wireless patient monitoring in the operating room. J Telemed Telecare 2005;11(Suppl 2):S41-3. https://doi.org/10.1177/1357633X0501100109
  53. Kent L, O'Neill B, Davison G, Nevill A, Elborn JS, Bradley JM. Validity and reliability of cardiorespiratory measurements recorded by the LifeShirt during exercise tests. Respir Physiol Neurobiol 2009;167(2):162-7. https://doi.org/10.1016/j.resp.2009.03.013
  54. Heilman KJ, Porges SW. Accuracy of the LifeShirt (Vivometrics) in the detection of cardiac rhythms. Biol Psychol 2007;75(3): 300-5. https://doi.org/10.1016/j.biopsycho.2007.04.001
  55. Suzuki T, Doi M. LifeMinder: an evidence-based wearable healthcare assistant. Proceedings of the ACM CHI Conference; 2001 March-April.
  56. Kim HC, Kim TW, Joo MI, Yi SH, Yoo CS, Lee K, et al. Design of a Calorie Tracker utilizing heart rate variability obtained by nanofiber technique-based wellness wear systems. Advanced Science Letters 2011 (In Press).
  57. Fletcher RR, Poh MZ, Eydgahi H. Wearable sensors: opportunities and challenges for low-cost health care. Conf Proc IEEE Eng Med Biol Soc 2010;2010:1763-6.
  58. Pare G, Jaana M, Sicotte C. Systematic review of home telemonitoring for chronic diseases: the evidence base. J Am Med Inform Assoc 2007;14(3):269-77. https://doi.org/10.1197/jamia.M2270
  59. Kannry J, Emro S, Blount M, Ebling M. Small-scale testing of RFID in a hospital setting: RFID as bed trigger. AMIA Annu Symp Proc 2007:384-8.