Study on Ballistocardiogram Acquisition in a Moving Wheelchair with Embedded Sensors

Open access

Abstract

Embedding cardiac system sensing devices in wheelchairs is both necessary and attractive. Elders, diabetics, or stroke victims are a substantial group needing permanent cardiac monitoring, without restriction of their already limited mobility. A set of sensing devices was embedded in a wheelchair to monitor the user without his awareness and intervention. A dual-wavelength reflection photoplethysmogram (PPG), and a ballistocardiogram (BCG) based on MEMS accelerometers and on electromechanical film sensors are output by the hardware. Tests were conduced on twenty one subjects, for an immobility scenario. Additional recordings were made for helped propulsion over a tiled floor course, with good results in keeping track of acceleration BCG and PPG. A treadmill was also used for tests, providing a smooth floor and constant speed and inclination. The PPG and acceleration BCG could be continuously monitored in all the tests. The developed system proves to be a good solution to monitor cardiac activity of wheelchair users even during motion.

[1] Kumar, S., Kambhatla, K., Hu, F., Lifson, M., Xiao, Y. (2008). Ubiquitous computing for remote cardiac patient monitoring: a survey. International Journal of Telemedicine and Applications, (1), 1-19.

[2] Postolache, O., Giräo, P.S., Pinheiro, E.C., Postolache, G. (2010). Unobtrusive and non-invasive sensing solutions for on-line physiological parameters monitoring. Lay-Ekuakille, A., Mukhopadhyay, S. (eds.). Wearable and Autonomous Biomed. Devices and Systems for Smart Environment, 75, Springer, 277-314.

[3] Myers, S., Grant, R., Lugn, N., Holbert, B., Kvedar J. (2006). Impact of home-based monitoring on the care of patients with congestive heart failure. Home Health Care Management & Practice, 18(6), 444-451.

[4] Postolache, O. Giräo, P., Pinheiro, E., Pereira, I, Madeira, R., Postolache, G., Mendes, J. (2011). Multi-usage of microwave doppler radar in pervasive healthcare systems for elderly. In Proc. of the IEEE Instrumentation and Measurement Technology Conference, Hangzhou, China, 30-34.

[5] Uenoyama, M., et al. (2006). Non-contact respiratory monitoring system using a ceiling-attached microwave antenna. Medical and Biological Engineering and Computing, 44(9), 835-840.

[6] Berntson, G., Cacioppo, J., Quigley, K., Fabro, V. (Jan. 1994). Autonomic space and psychophysiological response. Psychophysiology, 31(1), 44-61.

[7] Kaye, H., Kang, T., LaPlante, M. (2000). Mobility device use in the United States. National Institute on Disability and Rehabilitation Research, Washington, USA.

[8] Chan, L., Zhang, J., Narayanan, M., Celler, B., Lovell, N. (2008). A health monitoring and evaluation system for assessing care needs of residents in aged-care facilities. In Proc. of the 6th IASTED International Conference on Biomedical Engineering, Innsbruck, Austria, 414-418.

[9] Pinheiro, E.C., Postolache, O., Girão, P.S. (2010). Non-intrusive device for real-time circulatory system assessment with advanced signal processing capabilities. Measurement Science Review, 10(5), 166-175.

[10] Starr, I., Wood, F. (1961). Twenty-year studies with the ballistocardiograph: the relation between the amplitude of the first record of ‘healthy’ adults and eventual mortality and morbidity from heart disease. Circulation, 23(5), 714-732.

[11] Pinheiro, E., Postolache, O., Girão, P. (2010). Theory and developments in an unobtrusive cardiovascular system representation: ballistocardiography. The Open Biomedical Engineering Journal, 4, 201-216.

[12] Lim, Y., et al. (March 2011). Monitoring physiological signals using nonintrusive sensors installed in daily life equipment. Biomedical Engineering Letters, 1(1), 11-20.

[13] Mendez, M., Matteucci, M., Cerutti, S., Bianchi, A., Kortelainen, J. (2009). Automatic detection of sleep macrostructure based on bed sensors. In Proc. of the 31st IEEE EMBC, Minneapolis, USA, 5555-5558.

[25] Pinheiro, E.C., Postolache, O., Girão, P.S. (2009). Pulse arrival time and ballistocardiogram application to blood pressure variability estimation. In Proc. of the IEEE Int. W. Med. Meas. Applic, Cetraro, 132-136.

[15] Su, J., Zhu, X., Zhang, X., Tang, J., Liu, L. (2009). Ballistocardiogram measurement system using three load-cell sensors platform in chair. In Proc. of the 2nd Int. Conf. on Biomedical Engineering and Informatics, Tianjin, China, 1-4.

[16] Postolache, O., Girão, P.S., Mendes, J., Pinheiro, E.C., Postolache, G. (2010). Physiological parameters measurement based on embedded sensors in a wheelchair and advanced signal processing. IEEE Trans. on Instrumentation and Measurement, 59(10), 2564-2574.

[17] Kim, J., Hong, J., Cho, M., Cha, E., Lee, T. (2007). Wireless biomedical signal monitoring device on wheelchair using noncontact electro-mechanical film sensor. In Proc. of the 29th IEEE EMBC, Lyon, France, 574-577.

[18] Inan, O., Etemadi, M., Widrow, B., Kovacs, G.(2010). Adaptive cancellation of floor vibrations in standing ballistocardiogram measurements using a seismic sensor as a noise reference. IEEE Trans. on Biomedical Engineering, 57(3), 722-727.

[19] Chen, W., Zhu, X., Nemoto, T., Kanemitsu, Y., Kitamura, K., Yamakoshi, K. (Apr. 2005). Unconstrained detection of respiration rhythm and pulse rate with one under-pillow sensor during sleep. Medical and Biological Engineering and Computing, 43(2), 306-312.

[20] Zhu, X., et al. (2006). Real-time monitoring of respiration rhythm and pulse rate during sleep. IEEE Trans. on Biomedical Engineering, 53(12), 2553-2563.

[21] Koivistoinen, T., Junnila, S., Varri, A., Koobi, T. (2004). A new method for measuring the ballistocardiogram using EMFi sensors in a normal chair. In Proc. of the 26th IEEE EMBC, San Francisco, USA, 1, 2026-2029.

[22] Chee, Y., Han, J., Youn, J., Park, K. (2005). Air mattress sensor system with balancing tube for unconstrained measurement of respiration and heart beat movements. Physiological Measur., 26(4), 413.

[23] Scarborough, W., et al. (1956). Proposals for ballistocardiographic nomenclature and conventions: revised and extended: report of committee on ballistocardiographic terminology. Circulation, 14(3), 435-450.

[24] Pollock, P. (May 1957). Ballistocardiography: a clinical review. Canad. Medi. Assoc. J., 76(9), 778-783.

[25] Alametsä, J., Viik, J., Palomäki, A. (2008). Arterial elasticity measurements with ankle pulse width velocity and ballistocardiography. In Proc. of the 4th Eur. Conf. of the IFMBE, Antwerp, 22, 1636-1641.

[26] Inan, O., Etemadi, M., Wiard, R., Giovangrandi, L., Kovacs, G. (2008). Evaluating the foot electromyogram signal as a noise reference for a bathroom scale ballistocardiogram recorder. In Proc. of the 21st IEEE Int. Symp. on Computer-Based Medical Systems, Jyväskylä, Finland, 70-74.

[27] Jin, J., Wang, X., Li, S., Wu, Y. (2009). A novel heart rate detection algorithm in ballistocardiogram based on wavelet transform. In Proc. of the 2nd Int. W. Known. Disc. Data Min., Porto, Portugal, 76-79.

[28] Pinheiro, E., Postolache, O., Girão, P. (2012). Empirical mode decomposition and principal component analysis implementation in processing non-invasive cardiovascular signals. Measurement, 45(2), 175-181.

[29] Junnila, S., Akhbardeh, A., Barna, L., Defee, I., Varri, A. (2006). A wireless ballistocardiographic chair. In Proc. 28th IEEE EMBC, New York, USA, 5932-5935.

Metrology and Measurement Systems

The Journal of Committee on Metrology and Scientific Instrumentation of Polish Academy of Sciences

Journal Information


IMPACT FACTOR 2016: 1.598

CiteScore 2016: 1.58

SCImago Journal Rank (SJR) 2016: 0.460
Source Normalized Impact per Paper (SNIP) 2016: 1.228

Cited By

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 176 176 32
PDF Downloads 54 54 11