The progress of microelectromechanical systems tends to fabricate miniature motion sensors that can be used for various purposes of biomedical systems, particularly on-body applications. A miniature wireless sensor is developed that not only monitors heartbeat and respiration rate based on chest movements but also identifies initial problems in the cardiorespiratory system, presenting a healthy measure defined based on height and length of the normal distribution of respiration rate and heartbeat. The obtained results of various tests are compared with two commercial sensors consisting of electrocardiogram sensor as well as belt sensor of respiration rate as a reference (gold standard), showing that the root-mean-square errors obtain <2.27 beats/min for a heartbeat and 0.93 breaths/min for respiration rate. In addition, the standard deviation of the errors reaches <1.26 and 0.63 for heartbeat and respiration rates, separately. According to the outcome results, the sensor can be considered an appropriate candidate for in-home health monitoring, particularly early detection of cardiovascular system problems.

References

1. 1)
  - 13. Abbasi-Kesbi, R., Valipour, A., Imani, K.: ‘Cardiorespiratory system monitoring using a developed acoustic sensor’, Healthc. Technol. Lett., 2018, 5, (1), pp. 7–12 (doi: 10.1049/htl.2017.0012).
2. 2)
  - 25. Abbasi-Kesbi, R., Nikfarjam, A.: ‘Denoising MEMS accelerometer sensors based on L2-norm total variation algorithm’, Electron. Lett., 2017, 53, (5), pp. 322–324 (doi: 10.1049/el.2016.3811).
3. 3)
  - 10. Haescher, M., Matthies, D.J., Trimpop, J., et al: ‘A study on measuring heart-and respiration-rate via wrist-worn accelerometer-based seismocardiography (SCG) in comparison to commonly applied technologies’. Proc. Second Int. Workshop on Sensor-based Activity Recognition and Interaction, 2015, p. 2.
4. 4)
  - 5. Patel, M., Wang, J.: ‘Applications, challenges, and prospective in emerging body area networking technologies’, IEEE Wirel. Commun., 2010, 17, (1), pp. 80–88 (doi: 10.1109/MWC.2010.5416354).
5. 5)
  - 9. Valipour, A., Abbasi-Kesbi, R.: ‘A heartbeat and respiration rate sensor based on phonocardiogram for healthcare applications’. 25th Iranian Conf. Electrical Engineering (ICEE), Tehran, Iran, 2017, pp. 45–48.
6. 6)
  - 11. Inan, O.T., Migeotte, P.F., Park, K.S., et al: ‘Ballistocardiography and seismocardiography: a review of recent advances’, IEEE J. Biomed. Health Inform., 2015, 19, (4), pp. 1414–1427 (doi: 10.1109/JBHI.2014.2361732).
7. 7)
  - 4. Amadi-Obi, A., Gilligan, P., Owens, N., et al: ‘Telemedicine in pre-hospital care: a review of telemedicine applications in the pre-hospital environment’, Int. J. Emergency Med., 2014, 7, (1), p. 1 (doi: 10.1186/s12245-014-0029-0).
8. 8)
  - 16. Abbasi-kesbi, R., Nikfarjam, A.: ‘A mini wearable wireless sensor for rehabilitation applications’. 2015 Third RSI Int. Conf. Robotics and Mechatronics (ICROM), Tehran, Iran, 2015, pp. 618–622.
9. 9)
  - 28. Abbasi-Kesbi, R., Memarzadeh-Tehran, H., Deen, M.J.: ‘A technique to estimate the human reaction time based on visual perception’, Healthcare Technol. Lett., 2017, 4, (2), pp. 73–77 (doi: 10.1049/htl.2016.0106).
10. 10)
  - 3. Li, K.F.: ‘Smart home technology for telemedicine and emergency management’, J. Ambient Intell. Human. Comput., 2013, 4, (5), pp. 535–546 (doi: 10.1007/s12652-012-0129-8).
11. 11)
  - 4. Kvedar, J., Coye, M.J., Everett, W.: ‘Connected health: a review of technologies and strategies to improve patient care with telemedicine and telehealt’, Health. Aff., 2014, 33, (2), pp. 194–199 (doi: 10.1377/hlthaff.2013.0992).
12. 12)
  - 2. Abbasi-Kesbi, R., Nikfarjam, A.: ‘A miniature sensor system for precise hand position monitoring’, IEEE Sens. J., 2018, 18, (6), pp. 2577–2584 (doi: 10.1109/JSEN.2018.2795751).
13. 13)
  - 18. ‘Products: M-80’, Beurer Germany, Hallandale Beach, FL. Available at https://www.beurer.com (accessed 18/10/2017).
14. 14)
  - 11. Gonzales, L., Walker, K., Keller, K., et al: ‘Textile sensor system for electrocardiogram monitoring’. Virtual Conf. Applications of Commercial Sensors (VCACS), Raleigh, NC, USA, 2015, pp. 1–4.
15. 15)
  - 1. Pantelopoulos, A., Bourbakis, N.: ‘A survey on wearable sensor-based systems for health monitoring and prognosis’, IEEE Trans. Syst. Man Cybern., 2010, 40, (1), pp. 1–12 (doi: 10.1109/TSMCC.2009.2032660).
16. 16)
  - 19. ‘Respiration monitor belt’, Vernier Software & Technology, Beaverton, FL. Available at https://www.beurer.com (accessed 18/10/2017).
17. 17)
  - 12. Cífková, R.: ‘Advantages and disadvantages of ECG diagnosis in left ventricular hypertrophy’, Vnitr. Lek., 2002, 48, (1), pp. 103–108.
18. 18)
  - 1. Abbasi-Kesbi, R., Nikfarjam, A., Memarzadeh-Tehran, H.: ‘A patient-centric sensory system for in-home rehabilitation’, IEEE Sens. J., 2017, 17, (2), pp. 524–533 (doi: 10.1109/JSEN.2016.2631464).
19. 19)
  - 15. Bifulco, P., Gargiulo, G.D., D'Angelo, G., et al: ‘Monitoring of respiration, seismocardiogram and heart sounds by a PVDF piezo film sensor’, Measurement, 2014, 11, pp. 786–789.
20. 20)
  - 22. Atkinson, G., Nevill, A.M.: ‘Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine’, Sports Med., 1998, 26, (4), pp. 217–238 (doi: 10.2165/00007256-199826040-00002).
21. 21)
  - 14. Dinh, A., Choi, Y., Ko, S.B.: ‘A heart rate sensor based on seismocardiography for vital sign monitoring systems’. 24th Canadian Conf. Electrical and Computer Engineering (CCECE), Niagara Falls, ON, Canada, 2011, pp. 665–668.

Developed wearable miniature sensor to diagnose initial perturbations of cardiorespiratory system

References

Related content