Skip to main content

Advertisement

SpringerLink
Log in

Smart Health Monitoring Systems: An Overview of Design and Modeling

  • Original Paper
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

Health monitoring systems have rapidly evolved during the past two decades and have the potential to change the way health care is currently delivered. Although smart health monitoring systems automate patient monitoring tasks and, thereby improve the patient workflow management, their efficiency in clinical settings is still debatable. This paper presents a review of smart health monitoring systems and an overview of their design and modeling. Furthermore, a critical analysis of the efficiency, clinical acceptability, strategies and recommendations on improving current health monitoring systems will be presented. The main aim is to review current state of the art monitoring systems and to perform extensive and an in-depth analysis of the findings in the area of smart health monitoring systems. In order to achieve this, over fifty different monitoring systems have been selected, categorized, classified and compared. Finally, major advances in the system design level have been discussed, current issues facing health care providers, as well as the potential challenges to health monitoring field will be identified and compared to other similar systems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Williams, J., Wireless in Healthcare: A Study Tracking the Use of RFID, Wireless Sensor Solutions, and Telemetry Technologies by Medical Device Manufacturers and Healthcare Providers. The FocalPoint Group, USA, 2004.

    Google Scholar 

  2. Tamura, T., Togawa, T., Ogawa, M., and Yoda, M., Fully automated health monitoring system in the home. Med. Eng. Phys. 20(8):573–579, 1998.

    Article  Google Scholar 

  3. Ohta, S., Nakamoto, H., Shinagawa, Y., and Tanikawa, T., A health monitoring system for elderly people living alone. J. Telemed. Telec. 8(3):151, 2002.

    Article  Google Scholar 

  4. Roine, R., Ohinmaa, A., and Hailey, D., Assessing telemedicine: a systematic review of the literature. Can. Med. Assoc. J. 165(6):765–71, 2001.

    Google Scholar 

  5. Lau, F., Kuziemsky, C., Price, M., and Gardner, J., A review on systematic reviews of health information system studies. JAMIA 17:637–645, 2010.

    Google Scholar 

  6. Brownsell, S., Bradley, D., Blackburn, S., Cardinaux, F., and Hawley, M. S., A systematic review of lifestyle monitoring technologies. J. Telemed. Telec. 17(4):185–189, 2011.

    Article  Google Scholar 

  7. Cardile, F., Iannizzotto, G., and F. La Rosa, A vision-based system for elderly patients monitoring. In Human System Interactions (HSI), 2010 3rd Conference on, 195–202 2010.

  8. Taleb, T., Bottazzi, D., Guizani, M., and Nait-Charif, H., Angelah: a framework for assisting elders at home. IEEE J. Sel. Area. Comm. 27(4):480–494, 2009.

    Article  Google Scholar 

  9. Dong-Her, S., Hsiu-Sen, C., Binshan, L., and Shih-Bin, L., An Embedded Mobile ECG Reasoning System for Elderly Patients. IEEE Trans. Inf. Technol. Biomed. 14(3):854–865, 2010.

    Article  Google Scholar 

  10. Chung-Chih, L., Ming-Jang, C., Chun-Chieh, H., Ren-Guey, L., and Yuh-Show, T., Wireless Health Care Service System for Elderly With Dementia. IEEE Trans. Inf. Technol. Biomed. 10(4):696–704, 2006.

    Article  Google Scholar 

  11. Chung-Chih, L., Ping-Yeh, L., Po-Kuan, L., Guan-Yu, H., Wei-Lun, L., and Ren-Guey, L., A Healthcare Integration System for Disease Assessment and Safety Monitoring of Dementia Patients. IEEE Trans. Inf. Technol. Biomed. 12(5):579–586, 2008.

    Article  Google Scholar 

  12. Taub, D. M., Leeb, S. B., Lupton, E. C., Hinman, R. T., Zeisel, J., and Blackler, S., The Escort System: A Safety Monitor for People Living with Alzheimer's Disease. IEEE Pervasive Computing 10(2):68–77, 2011.

    Article  Google Scholar 

  13. Ho, C., and Weihua, Z., Bluetooth-enabled in-home patient monitoring system: Early detection of Alzheimer’s disease. IEEE Wirel. Commun. 17(1):74–79, 2010.

    Article  Google Scholar 

  14. Bor-Rong, C., Patel, S., Buckley, T., Rednic, R., McClure, D. J., Shih, L., Tarsy, D., Welsh, M., and Bonato, P., A Web-Based System for Home Monitoring of Patients With Parkinson’s Disease Using Wearable Sensors. IEEE Trans. Biomed. Eng. 58(3):831–836, 2011.

    Article  Google Scholar 

  15. Keijsers, N. L. W., Horstink, M. W. I. M., and Gielen, S. C. A. M., Online monitoring of dyskinesia in patients with Parkinson’s disease. IEEE Eng. Med. Biol. Mag. 22(3):96–103, 2003.

    Article  Google Scholar 

  16. Patel, S., Lorincz, K., Hughes, R., Huggins, N., Growdon, J., Standaert, D., Akay, M., Dy, J., Welsh, M., and Bonato, P., Monitoring Motor Fluctuations in Patients With Parkinson’s Disease Using Wearable Sensors. IEEE Trans. Inf. Technol. Biomed. 13(6):864–873, 2009.

    Article  Google Scholar 

  17. Yonglin, R., Pazzi, R. W. N., and Boukerche, A., Monitoring patients via a secure and mobile healthcare system. IEEE Wireless Communications 17(1):59–65, 2010.

    Article  Google Scholar 

  18. Naufal Bin Mansor, M., Yaacob, S., Nagarajan, R., and Hariharan, M., Patient monitoring in ICU under unstructured lighting condition. In Industrial Electronics & Applications (ISIEA), 2010 IEEE Symposium on, 608–611, 2010.

  19. Wai Kit, W., Yen Chee, P., Chu Kiong, L., and Way Soong, L., Wireless webcam based omnidirectional health care surveillance system, In Computer Research and Development, 2010 Second International Conference on, 712–716, 2010.

  20. JeongGil, K., Tia, G., Rothman, R., and Terzis, A., Wireless Sensing Systems in Clinical Environments: Improving the Efficiency of the Patient Monitoring Process. IEEE Eng. Med. Biol. Mag. 29(2):103–109, 2010.

    Article  Google Scholar 

  21. Xiaoxin, X., Mingguang, W., Cheng, D., Bin, S., and Jiangwei, Z., Outdoor wireless healthcare monitoring system for hospital patients based on ZigBee, In Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on, 549–554, 2010.

  22. Junnila, S., Kailanto, H., Merilahti, J., Vainio, A. M., Vehkaoja, A., Zakrzewski, M., and Hyttinen, J., Wireless, Multipurpose In-Home Health Monitoring Platform: Two Case Trials. IEEE Trans. Inf. Technol. Biomed. 14(2):447–455, 2010.

    Article  Google Scholar 

  23. Rosati, R. J. Evaluation of remote monitoring in home health care. In eHealth, Telemedicine, and Social Medicine, 2009. eTELEMED’09. International Conference on, 151–153, 2009.

  24. Yongming, Y., Xiliang, L., and Yan, W., Immediate communication system for remote medical monitoring based on internet. In Automation Congress, 2008. WAC 2008. World, 1–5, 2008.

  25. Safavi, A. A., Keshavarz-Haddad, A., Khoubani, S., Mosharraf-Dehkordi, S., Dehghani-Pilehvarani, A., and Tabei, F. S., A remote elderly monitoring system with localizing based on Wireless Sensor Network. In Computer Design and Applications (ICCDA), 2010 International Conference on, V2-553-V2-557, 2010.

  26. Eleftheriadis, A., and Jacquin, A., Automatic face location detection and tracking for model-assisted coding of video teleconference sequences at low bit rates. Signal Process. Image Comm. 7(3):231–248, 1995.

    Article  Google Scholar 

  27. Rajagopalan, H., and Rahmat-Samii, Y., Ingestible RFID bio-capsule tag design for medical monitoring, In Antennas and Propagation Society International Symposium (APSURSI), 2010 IEEE, 1–4,, 2010.

  28. Booth, P., Frisch, P. H., and Miodownik, S., Application of RFID in an Integrated Healthcare Environment, In Engineering in Medicine and Biology Society, 2006. EMBS’06. 28th Annual International Conference of the IEEE, pp. 117–119, 2006.

  29. Imhoff, M., and Kuhls, S., Alarm Algorithms in Critical Care Monitoring. International Anesthesia Research Society 102:1525–1537, 2006.

    Google Scholar 

  30. Otero, A., Félix, P., Barro, S., and Palacios, F., Addressing the flaws of current critical alarms: a fuzzy constraint satisfaction approach. Artificial Intelligence in Medicine 47(3):219–238, 2009.

    Article  Google Scholar 

  31. Zong, W., Moody, G. B., and Mark, R. G., Reduction of false arterial blood pressure alarms using signal quality assessment and relationships between the electrocardiogram and arterial blood pressure. Med. Biol. Eng. Comput. 42(5), 2006.

  32. Lawless, S., Crying wolf: false alarms in a pediatric intensive care unit. Crit. Care Med. 22:981–5, 1994.

    Article  Google Scholar 

  33. Pandian, P. S., Mohanavelu, K., Safeer, K. P., Kotresh, T. M., Shakunthala, D. T., Gopal, P., and Padaki, V. C., Smart Vest: Wearable multi-parameter remote physiological monitoring system. Med. Eng. Phys. 30(4):466–477, 2008.

    Article  Google Scholar 

  34. López, G., Custodio, V., and Moreno, J. I., LOBIN: E-Textile and Wireless-Sensor-Network-Based Platform for Healthcare Monitoring in Future Hospital Environments. IEEE Trans. Inf. Technol. Biomed. 14(6):1446–1458, 2010.

    Article  Google Scholar 

  35. Pollonini, L., Rajan, N., Xu, S., Madala, S., and Dacso,C., A novel handheld device for use in remote patient monitoring of heart failure patients—Design and preliminary validation on healthy subjects. J. Med. Syst. 1–7, 2010.

  36. Saito, M., Nakajima, K., Takano, C., Ohta, Y., Sugimoto, C., Ezoe, R., Sasaki, K., Hosaka, H., Ifukube, T., Ino, S., and Yamashita, K., An in-shoe device to measure plantar pressure during daily human activity. Med. Eng. Phys. 33(5):638–645, 2011.

    Article  Google Scholar 

  37. Mougiakakou, S. G., Bartsocas, C. S., Bozas, E., Chaniotakis, N., Iliopoulou, D., Kouris, I., Pavlopoulos, S., Prountzou, A., Skevofilakas, M., Tsoukalis, A., Varotsis, K., Vazeou, A., Zarkogianni, K., and Nikita, K. S., SMARTDIAB: A Communication and Information Technology Approach for the Intelligent Monitoring, Management and Follow-up of Type 1 Diabetes Patients. Information Technology in Biomedicine 14(3):622–633, 2010.

    Article  Google Scholar 

  38. Costin, H., Cehan, V., Rotariu, C., Morancea, O., Felea, V., Alexa, I., Andruseac, G., Costin, C., TELEMON—A complex system for real time telemonitoring of chronic patients and elderly people. In 4th European Conference of the International Federation for Medical and Biological Engineering. vol. 22, J. Sloten, et al., Eds., ed: Springer Berlin Heidelberg, 1002–1005, 2009

  39. Raad M. W., and Yang, L. T., A ubiquitous smart home for elderly. In Advances in Medical, Signal and Information Processing, 2008. MEDSIP 2008. 4th IET International Conference on, 1–4, 2008.

  40. Motoi, K., Ogawa, M., Ueno, H., Kuwae, Y., Ikarashi, A., Yuji, T., Higashi, Y., Tanaka, S., Fujimoto, T., Asanoi, H., and Yamakoshi, K. I., A fully automated health-care monitoring at home without attachment of any biological sensors and its clinical evaluation. In Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE, 4323–4326, 2009.

  41. Ishijima, M., and Togawa, T., Observation of electrocardiograms through tap water. Clin. Phys. Physiol. Meas. 10(2):171, 1989.

    Article  Google Scholar 

  42. Yong Gyu, L., Ko Keun, K., and Kwang Suk, P., ECG Recording on a Bed During Sleep Without Direct Skin-Contact. IEEE Trans. Biomed. Eng. 54(4):718–725, 2007.

    Article  Google Scholar 

  43. Ishida, S., Shiozawa, N., Fujiwara, Y., and Makikawa, M., Electrocardiogram Measurement during Sleep with Wearing Clothes Using Capacitively-Coupled Electrodes. In Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, 2647–2650, 2007.

  44. Ishijima, M., Cardiopulmonary monitoring by textile electrodes without subject-awareness of being monitored. Med. Biol. Eng. Comput. 35(6):685–690, 1997.

    Article  Google Scholar 

  45. Watanabe, K., Watanabe, T., Watanabe, H., Ando, H., Ishikawa, T., and Kobayashi, K., Noninvasive measurement of heartbeat, respiration, snoring and body movements of a subject in bed via a pneumatic method. IEEE Trans. Biomed. Eng. 52(12):2100–2107, 2005.

    Article  Google Scholar 

  46. Chow, P., Nagendra, G., Abisheganaden, J., and Wang, Y. T., Respiratory monitoring using an air-mattress system. Physiol. Meas. 21(3):345, 2000.

    Article  Google Scholar 

  47. Tamura, T., Zhou, J., Mizukami, H., and Togawa, T., A system for monitoring temperature distribution in bed and its application to the assessment of body movement. Physiol. Meas. 14(1):33, 1993.

    Article  Google Scholar 

  48. Tanaka, S., Nogawa, M., and Yamakoshi, K., Fully automatic system for monitoring blood pressure from a toilet-seat using the volume-oscillometric method. In Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the, 3939–3941, 2005.

  49. Yamakoshi, K., Non-invasive cardiovascular hemodynamic measurements. In Sensors Applications, ed: Wiley-VCH Verlag GmbH & Co. KGaA, 107–160, 2008.

  50. Yamakoshi, K., Unconstrained physiological monitoring in daily living for health care. Frontiers Med. Biol. Eng. 10(3):139–159, 2000.

    Google Scholar 

  51. Xin, Z., Wenxi, C., Nemoto, T., Kanemitsu, Y., Kitamura, K., Yamakoshi, K., and Daming, W., Real-Time Monitoring of Respiration Rhythm and Pulse Rate During Sleep. IEEE Trans. Biomed. Eng. 53(12):2553–2563, 2006.

    Article  Google Scholar 

  52. Arcelus, A., Jones, M. H., Goubran, R., and Knoefel, F., Integration of smart home technologies in a health monitoring system for the elderly. In Advanced Information Networking and Applications Workshops, 2007, AINAW’07. 21st International Conference on, 820–825, 2007.

  53. Redondi, A., Tagliasacchi, M., Cesana, M., Borsani, L., Tarri, x, P. o, and F. Salice, LAURA-LocAlization and ubiquitous monitoring of patients for health care support. In Personal, indoor and mobile radio communications workshops (PIMRC Workshops), 2010 IEEE 21st International Symposium on, 218–222, 2010.

  54. Khandoker, A. H., Karmakar, C. K., and Palaniswami, M., Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea. Med. Eng. Phys. 33(2):204–209, 2011.

    Article  Google Scholar 

  55. Label, L. S., Dementia facts and statistics, the national center for health statistics and the center for disease control, 2009.

  56. Masud, T., and Morris, R. O., Epidemiology of falls. Age and Ageing 30(4):3–7, 2001.

    Article  Google Scholar 

  57. Stevens, J. A., Corso, P. S., Finkelstein, E. A., and Miller, T. R., The costs of fatal and non-fatal falls among older adults. Injury Prevention 12(5):290–295, 2006.

    Article  Google Scholar 

  58. Greene, B. R., Donovan, A. O., Romero-Ortuno, R., Cogan, L., Ni Scanaill, C., and Kenny, R. A., Quantitative Falls Risk Assessment Using the Timed Up and Go Test. IEEE Trans. Biomed. Eng. 57(12):2918–2926, 2010.

    Article  Google Scholar 

  59. Mathias, S., Nayak, U., and Isaacs, B., Balance in elderly patients: the “get-up and go” test. Arch. Phys. Med. Rehabil. 67(6):387–9, 1986.

    Google Scholar 

  60. Berg, K., Measuring balance in the elderly: preliminary development of an instrument. Physiotherapy Canada 41(6):304–311, 1989.

    Article  Google Scholar 

  61. Estudillo-Valderrama, M. A., Roa, L. M., Reina-Tosina, J., and Naranjo-Hernandez, D., Design and Implementation of a Distributed Fall Detection System-Personal Server. IEEE Trans. Inf. Technol. Biomed. 13(6):874–881, 2009.

    Article  Google Scholar 

  62. Pantelopoulos, A., and Bourbakis, N. G., Prognosis-A Wearable Health-Monitoring System for People at Risk: Methodology and Modeling. IEEE Trans. Inf. Technol. Biomed. 14(3):613–621, 2010.

    Article  Google Scholar 

  63. Gabriel, D. A., Christie, A., Inglis, J. G., and Kamen, G., Experimental and modelling investigation of surface EMG spike analysis. Medical Engineering & Physics 33(4):427–437, 2011.

    Article  Google Scholar 

  64. Guo, J.-Y., Zheng, Y.-P., Xie, H.-B., and Chen, X., Continuous monitoring of electromyography (EMG), mechanomyography (MMG), sonomyography (SMG) and torque output during ramp and step isometric contractions. Medical Engineering & Physics 32(9):1032–1042, 2010.

    Article  Google Scholar 

  65. Chan, V., Ray, P., and Parameswaran, N., Mobile e-Health monitoring: an agent-based approach. IET Commun. 2(2):223–230, 2008.

    Article  Google Scholar 

  66. Hande, A., Polk, T., Walker, W., and Bhatia, D., Self-Powered Wireless Sensor Networks for Remote Patient Monitoring in Hospitals. Sensors 6(9):1102–1117, 2006.

    Article  Google Scholar 

  67. Hiromichi, M., Hidekuni, O., Shingo, M., Yoshiharu, Y., and Morton, C. W., A daily living activity remote monitoring system for solitary elderly people. 33rd Annual International Conference of the IEEE EMBS, Boston, Massachusetts, 2011.

    Google Scholar 

  68. Apiletti, D., Baralis, E., Bruno, G., and Cerquitelli, T., Real-Time Analysis of Physiological Data to Support Medical Applications. IEEE Trans. Inf. Technol. Biomed. 13(3):313–321, 2009.

    Article  Google Scholar 

  69. Takano, C., and Ohta, Y., Heart rate measurement based on a time-lapse image. Med. Eng. Phys. 29(8):853–857, 2007.

    Article  Google Scholar 

  70. McAdams, E., Krupaviciute, A., Gehin, C., Grenier, E., Massot, B., Dittmar, A., Rubel, P., and Fayn, J., Wearable Sensor Systems: The Challenges. 33rd Annual International Conference of the IEEE EMBS, Boston, Massachusetts, 2011.

    Google Scholar 

  71. Ying, Z., and Hannan, X., Bluetooth-Based Sensor Networks for Remotely Monitoring the Physiological Signals of a Patient. IEEE Trans. Inf. Technol. Biomed. 13(6):1040–1048, 2009.

    Article  Google Scholar 

  72. Basilakis, J., Lovell, N. H., Redmond, S. J., and Celler, B. G., Design of a Decision-Support Architecture for Management of Remotely Monitored Patients. IEEE Trans. Inf. Technol. Biomed. 14(5):1216–1226, 2010.

    Article  Google Scholar 

  73. Tamura, T., Mizukura, I., Tatsumi, H., and Kimura, Y., Is the home health care monitoring effective? In Information Technology and Applications in Biomedicine, 2009. ITAB 2009. 9th International Conference on, 1–4, 2009.

  74. Hairong, Y., Hongwei, H., Youzhi, X., and Gidlund, M., Wireless sensor network based E-health system-Implementation and experimental results. IEEE Trans. Consum. Electron. 56(4):2288–2295, 2010.

    Article  Google Scholar 

  75. Yoshizawa, M., Yambe, T., Konno, S., Saijo, Y., Sugita, N., Sugai, T. K., Abe, M., Sonobe, T., Katahira, Y., and Nitta, S., A mobile communications system for home-visit medical services: The Electronic Doctor's Bag. In Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 5496–5499, 2010.

  76. Gargiulo, G., Bifulco, P., Calvo, R. A., Cesarelli, M., Jin, C., and van Schaik, A., Mobile biomedical sensing with dry electrodes. In Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008. International Conference on, 261–266, 2008.

  77. Faria, S., Fernandes, T. R., and Perdigoto, F. S., Mobile web server for elderly people monitoring. In Consumer Electronics, 2008. ISCE 2008. IEEE International Symposium on, 2008, pp. 1–4.

  78. Logan, A. G., McIsaac, W. J., Tisler, A., Irvine, M. J., Saunders, A., Dunai, A., Rizo, C. A., Feig, D. S., Hamill, M., Trudel, M., and Cafazzo, J. A., Mobile Phone-Based Remote Patient Monitoring System for Management of Hypertension in Diabetic Patients. Am. J. Hypertens. 20(9):942–948, 2007.

    Article  Google Scholar 

  79. Tatara, E., and Cinar, A., Interpreting ECG data by integrating statistical and artificial intelligence tools. IEEE Eng Med Biol Mag 21(1):36–41, 2002.

    Article  Google Scholar 

  80. Hernandez, A. I., Mora, F., Villegas, M., Passariello, G., and Carrault, G., Real-time ECG transmission via Internet for nonclinical applications. IEEE Trans. Inf. Technol. Biomed. 5(3):253–257, 2001.

    Article  Google Scholar 

  81. Rashid, R. A., Rahim, M. R. A., Sarijari, M. A., and Mahalin, N., Design and implementation of Wireless Biomedical Sensor Networks for ECG home health monitoring. In Electronic Design, 2008. ICED 2008. International Conference on, 1–4, 2008.

  82. Garcia, J., Martinez, I., Sornmo, L., Olmos, S., Mur, A., and Laguna, P., Remote processing server for ECG-based clinical diagnosis support. IEEE Trans. Inf. Technol. Biomed. 6(4):277–284, 2002.

    Article  Google Scholar 

  83. Wan-Young, C., Seung-Chul, L., and Sing-Hui, T., WSN based mobile u-healthcare system with ECG, blood pressure measurement function. In Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE, 1533–1536, 2008.

  84. Boukerche, A., and Yonglin, R., A secure mobile healthcare system using trust-based multicast scheme. IEEE J. Sel. Area Comm. 27(4):387–399, 2009.

    Article  Google Scholar 

  85. Al Ameen, M., Liu, J., and Kwak, K., Security and Privacy Issues in Wireless Sensor Networks for Healthcare Applications, Journal of Medical Systems. 1–9, 2010.

  86. Anagnostaki, A. P., Pavlopoulos, S., Kyriakou, E., and Koutsouris, D., A novel codification scheme based on the “VITAL” and “DICOM” standards for telemedicine applications. IEEE Trans. Biomed. Eng. 49(12):1399–1411, 2002.

    Article  Google Scholar 

  87. Hinrichs, H., Feistner, H., and Heinze, H. J., A trend-detection algorithm for intraoperative EEG monitoring. Medical Engineering & Physics 18(8):626–631, 1996.

    Article  Google Scholar 

  88. Panescu, D., Emerging Technologies [wireless communication systems for implantable medical devices]. Engineering in Medicine and Biology Magazine, IEEE 27(2):96–101, 2008.

    Article  Google Scholar 

  89. Kumar, S., Kambhatla, K., Hu, F., Lifson, M., and Xiao, Y., Ubiquitous computing for remote cardiac patient monitoring: a survey. Int. J. Telemedicine Appl. 1–19, 2008.

  90. Oleshchuk, V., and Fensli, R., Remote Patient Monitoring Within a Future 5 G Infrastructure. Wirel. Pers. Commun. 57(3):431–439, 2011.

    Article  Google Scholar 

  91. William, R. H., and Michael, M. W., Accuracy of Data in Computer-based Patient Records. JAMIA 4:342–355, 1997.

    Google Scholar 

  92. Pantelopoulos, A., and Bourbakis, N. G., A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 40(1):1–12, 2010.

    Article  Google Scholar 

  93. Kulkarni, P., and Ozturk, Y., mPHASiS: Mobile patient healthcare and sensor information system. J. Netw. Comput. Appl. 34(1):402–417, 2011.

    Article  Google Scholar 

  94. Sankari, Z., and Adeli, H., HeartSaver: A mobile cardiac monitoring system for auto-detection of atrial fibrillation, myocardial infarction, and atrio-ventricular block. Com. Biol. Med. 41(4):211–220, 2011.

    Article  Google Scholar 

  95. Bitterman, N., Design of medical devices–A home perspective. Eur. J. Intern. Med. 22(1):39–42, 2011.

    Article  Google Scholar 

  96. Cho, H.-S., Koo, S.-M., Lee, J., Cho, H., Kang, D.-H., Song, H.-Y., Lee, J.-W., Lee, K.-H., and Lee, Y.-J., Heart Monitoring Garments Using Textile Electrodes for Healthcare Applications. J. Med. Syst. 35(2):189–201, 2011.

    Article  Google Scholar 

  97. Chang, H.-T., Chung, C.-G., and M.-W. Chen, An e-caring chair for physiological signal measurement and recording. Med. Eng. Phys., vol. In Press, Corrected Proof, 2011.

  98. Chin-Teng, L., Kuan-Cheng, C., Chun-Ling, L., Chia-Cheng, C., Shao-Wei, L., Shih-Sheng, C., Bor-Shyh, L., Hsin-Yueh, L., Ray-Jade, C., Yuan-Teh, L., and Li-Wei, K., An Intelligent Telecardiology System Using a Wearable and Wireless ECG to Detect Atrial Fibrillation. IEEE Trans. Inf. Technol. Biomed. 14(3):726–733, 2010.

    Article  Google Scholar 

  99. Coyle, S., King-Tong, L., Moyna, N., O’Gorman, D., Diamond, D., Di Francesco, F., Costanzo, D., Salvo, P., Trivella, M. G., De Rossi, D. E., Taccini, N., Paradiso, R., Porchet, J. A., Ridolfi, A., Luprano, J., Chuzel, C., Lanier, T., Revol-Cavalier, F., Schoumacker, S., Mourier, V., Chartier, I., Convert, R., De-Moncuit, H., and Bini, C., BIOTEX-Biosensing Textiles for Personalised Healthcare Management. IEEE Trans. Inf. Technol. Biomed. 14(2):364–370, 2010.

    Article  Google Scholar 

  100. Di Rienzo, M., Meriggi, P., Rizzo, F., Castiglioni, P., Lombardi, C., Ferratini, M., and Parati, G., Textile Technology for the Vital Signs Monitoring in Telemedicine and Extreme Environments. IEEE Trans. Inf. Technol. Biomed. 14(3):711–717, 2010.

    Article  Google Scholar 

  101. Fei, D.-Y., Zhao, X., Boanca, C., Hughes, E., Bai, O., Merrell, R., and Rafiq, A., A biomedical sensor system for real-time monitoring of astronauts’ physiological parameters during extra-vehicular activities. Comput. Biol. Med. 40(7):635–642, 2010.

    Article  Google Scholar 

  102. Zimu, L., Guodong, F., Fenghe, L., Dong, J.Q., Kamoua, R., and Tang, W., Wireless health monitoring system. In Applications and Technology Conference (LISAT), 2010 Long Island Systems, pp. 1–4, 2010.

  103. Watthanawisuth, N., Lomas, T., Wisitsoraat, A., and Tuantranont, A., Wireless wearable pulse oximeter for health monitoring using ZigBee wireless sensor network. In Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), 2010 International Conference on, 575–579, 2010.

  104. Shin, W., Cha, Y., and Yoon, G., ECG/PPG Integer Signal Processing for a Ubiquitous Health Monitoring System. J. Med. Syst. 34(5):891–898, 2010.

    Article  Google Scholar 

  105. Yoo, J., Long, Y., Seulki, L., Hyejung, K., and Hoi-Jun, Y., A Wearable ECG Acquisition System With Compact Planar-Fashionable Circuit Board-Based Shirt. IEEE Trans. Inf. Technol. Biomed. 13(6):897–902, 2009.

    Article  Google Scholar 

  106. Alesanco, A., and Garci, J., Clinical Assessment of Wireless ECG Transmission in Real-Time Cardiac Telemonitoring. IEEE Trans. Inf. Technol. Biomed. 14(5):1144–1152, 2010.

    Article  Google Scholar 

  107. Atoui, H., Fayn, J., and Rubel, P., A Novel Neural-Network Model for Deriving Standard 12-Lead ECGs From Serial Three-Lead ECGs: Application to Self-Care. IEEE Trans. Inf. Technol. Biomed. 14(3):883–890, 2010.

    Article  Google Scholar 

  108. Bianchi, A. M., Mendez, M. O., and Cerutti, S., Processing of Signals Recorded Through Smart Devices: Sleep-Quality Assessment. IEEE Trans. Inf. Technol. Biomed. 14(3):741–747, 2010.

    Article  Google Scholar 

  109. Jourand, P., De Clercq, H., Corthout, R., and Puers, R., Textile Integrated Breathing and ECG Monitoring System. Procedia Chemistry 1(1):722–725, 2009.

    Article  Google Scholar 

  110. Kim, Y., Baek, H., Kim, J., Lee, H., Choi, J., and Park, K., Helmet-based physiological signal monitoring system. Eur. J. Appl. Physiol. 105(3):365–372, 2009.

    Article  Google Scholar 

  111. Lee, Y.-D., and Chung, W.-Y., Wireless sensor network based wearable smart shirt for ubiquitous health and activity monitoring. Sensor. Actuator. B Chem. 140(2):390–395, 2009.

    Article  Google Scholar 

  112. Tay, F. E. H., Guo, D. G., Xu, L., Nyan, M. N., and Yap, K. L., MEMSWear-biomonitoring system for remote vital signs monitoring. J. Frankl. Inst. 346(6):531–542, 2009.

    Article  MATH  Google Scholar 

  113. Sufi, F., Qiang, F., Khalil, I., and Mahmoud, S. S., Novel methods of faster cardiovascular diagnosis in wireless telecardiology. IEEE J. Sel. Area. Comm. 27(4):537–552, 2009.

    Article  Google Scholar 

  114. Steele, R., Lo, A., Secombe, C., and Wong, Y. K., Elderly persons’ perception and acceptance of using wireless sensor networks to assist healthcare. Int. J. Med. Informat. 78(12):788–801, 2009.

    Article  Google Scholar 

  115. Shih-Lun, C., Ho-Yin, L., Chiung-An, C., Hong-Yi, H., and Ching-Hsing, L., Wireless Body Sensor Network With Adaptive Low-Power Design for Biometrics and Healthcare Applications. IEEE Syst. J. 3(4):398–409, 2009.

    Article  Google Scholar 

  116. Merritt, C. R., Nagle, H. T., and Grant, E., Fabric-Based Active Electrode Design and Fabrication for Health Monitoring Clothing. IEEE Trans. Inf. Technol. Biomed. 13(2):274–280, 2009.

    Article  Google Scholar 

  117. Wu, W. H., Bui, A. A. T., Batalin, M. A., Au, L. K., Binney, J. D., and Kaiser, W. J., MEDIC: Medical embedded device for individualized care. Artif. Intell. Med. 42(2):137–152, 2008.

    Article  Google Scholar 

  118. Kailanto, H., Hyvarinen, E., and Hyttinen, J., Mobile ECG measurement and analysis system using mobile phone as the base station, 12–14, 2008.

  119. Heilman, K., Handelman, M., Lewis, G., and Porges, S., Accuracy of the StressEraser in the Detection of Cardiac Rhythms. Appl. Psychophysiol. Biofeedback. 33(2):83–89, 2008.

    Article  Google Scholar 

  120. Geng, Y., Jian, C., Ying, C., Tenhunen, H., and Li-Rong, Z., A novel wearable ECG monitoring system based on active-cable and intelligent electrodes. In e-health Networking, Applications and Services, 2008. HealthCom 2008. 10th International Conference on, 156–159, 2008.

  121. Yanbiao, Z., Cunxi, X., and Zhaohua, L., Intelligent analysis system in time series of smart health home on-line monitoring data. In Control and Automation, 2007. ICCA 2007. IEEE International Conference on, 1785–1790, 2007.

  122. Ren-Guey, L., Kuei-Chien, C., Chun-Chieh, H., and Chwan-Lu, T., A Mobile Care System With Alert Mechanism. IEEE Trans. Inf. Technol. Biomed. 11(5):507–517, 2007.

    Article  Google Scholar 

  123. Logan, A. G., McIsaac, W. J., Tisler, A., Irvine, M. J., Saunders, A., Dunai, A., Rizo, C. A., Feig, D. S., Hamill, M., and Trudel, M., Mobile phone-based remote patient monitoring system for management of hypertension in diabetic patients. Am. J. Hypertens. 20(9):942–948, 2007.

    Article  Google Scholar 

  124. Lee, G., Tsai, C., Griswold, W. G., Raab, F., and Patrick, K., PmEB: a mobile phone application for monitoring caloric balance, 1013–1018, 2006.

  125. Okumura, F., Kubota, A., Hatori, Y., Matsuo, K., Hashimoto, M., and Koike, A., A study on biometric authentication based on arm sweep action with acceleration sensor, 219–222, 2006.

  126. Finkelstein, S. M., Speedie, S. M., and Potthoff, S., Home telehealth improves clinical outcomes at lower cost for home healthcare. Telemed. J. e Health 12(2):128–136, 2006.

    Article  Google Scholar 

  127. Yu, V. L., and Madoff, L. C., ProMED-mail: an early warning system for emerging diseases. Clin. Infect. Dis. 39(2):227, 2004.

    Article  Google Scholar 

  128. Shieh, J. S., Linkens, D. A., and Peacock, J. E., A computer screen-based simulator for hierarchical fuzzy logic monitoring and control of depth of anaesthesia. Math. Comput. Simul. 67(3):251–265, 2004.

    Article  MathSciNet  MATH  Google Scholar 

  129. Mendoza G. G., and Tran, B. Q., In-home wireless monitoring of physiological data for heart failure patients. In Engineering in medicine and biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint, vol.3. 1849–1850, 2002.

  130. Sneha, S., and Varshney, U., Enabling ubiquitous patient monitoring: Model, decision protocols, opportunities and challenges. Decis. Support. Syst. 46(3):606–619, 2009.

    Article  Google Scholar 

  131. Varady, P., Benyo, Z., and Benyo, B., An open architecture patient monitoring system using standard technologies. IEEE Trans. Inf. Technol. Biomed. 6(1):95–98, 2002.

    Article  Google Scholar 

  132. Jaesoon, C., Park, J. W., Jinhan, C., and Min, B. G., An intelligent remote monitoring system for artificial heart. IEEE Trans. Inf. Technol. Biomed. 9(4):564–573, 2005.

    Article  Google Scholar 

  133. Magni, P., and Bellazzi, R., A stochastic model to assess the variability of blood glucose time series in diabetic patients self-monitoring. IEEE Trans. Biomed. Eng. 53(6):977–985, 2006.

    Article  Google Scholar 

  134. Mirza, M., Gholam Hosseini, H., and Harrison, M., Fuzzy Logic-based System for Anaesthesia Monitoring. 32nd Annual International Conference of the IEEE EMBC, Buenos Aires, Argentina, 2010.

    Google Scholar 

  135. Gohil, B., GholamhHosseini, H., Harrison, M. J., Lowe, A., and Al-Jumaily, A., Intelligent monitoring of critical pathological events during anesthesia. In 29th Annual International Conference of the IEEE in Engineering in Medicine and Biology Society (EMBS), 4343–4346, 2007.

  136. Lowe, A., and Harrison, M. J., Computer-enhanced diagnosis of malignant hyperpyrexia. Anaesthesia and Intensive Care [NLM-MEDLINE] 27(1):41, 1999.

    Google Scholar 

  137. Harrison, M. J., Kluger, M. T., and Robertson, N. N., The relationship between change in blood pressure, blood pressure and time. Anaesthesia 55:385–387, 2000.

    Article  Google Scholar 

  138. Teunissen, L., Klewer, J., De Haan, A., De Koning, J., and Daanen, H., Non-invasive continuous core temperature measurement by zero heat flux. Physiol. Meas. 32(5):559, 2011.

    Article  Google Scholar 

  139. Harrison, M. J., and Connor, C. W., Statistics-based alarms from sequential physiological measurements. Anaesthesia 62(10):1015–1023, 2007.

    Article  Google Scholar 

Download references

Conflict of Interest

The authors declare no conflict of interest.

Author information

Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, School of Engineering, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand

    Mirza Mansoor Baig & Hamid Gholamhosseini

Authors
  1. Mirza Mansoor Baig
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hamid Gholamhosseini
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mirza Mansoor Baig.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Baig, M.M., Gholamhosseini, H. Smart Health Monitoring Systems: An Overview of Design and Modeling. J Med Syst 37, 9898 (2013). https://doi.org/10.1007/s10916-012-9898-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10916-012-9898-z

Keywords

Search

Navigation