Skip to main content
SpringerLink
Log in

Novel non-contact control system of electric bed for medical healthcare

  • Original Article
  • Published:
Medical & Biological Engineering & Computing Aims and scope Submit manuscript

Abstract

A novel non-contact controller of the electric bed for medical healthcare was proposed in this study. Nowadays, the electric beds are widely used for hospitals and home-care, and the conventional control method of the electric beds usually involves in the manual operation. However, it is more difficult for the disabled and bedridden patients, who might totally depend on others, to operate the conventional electric beds by themselves. Different from the current controlling method, the proposed system provides a new concept of controlling the electric bed via visual stimuli, without manual operation. The disabled patients could operate the electric bed by focusing on the control icons of a visual stimulus tablet in the proposed system. Besides, a wearable and wireless EEG acquisition module was also implemented to monitor the EEG signals of patients. The experimental results showed that the proposed system successfully measured and extracted the EEG features related to visual stimuli, and the disabled patients could operate the adjustable function of the electric bed by themselves to effectively reduce the long-term care burden.

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
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Allison BZ, Luth T, Valbuena D, Teymourian A, Volosyak I, Graeser A (2010) BCI demographics: how many (and what kinds of) people can use an SSVEP BCI? IEEE Trans Neural Syst Rehabil 18(2):107–116

    Article  Google Scholar 

  2. Barea R, Boquete L, Mazo M, Lopez E (2002) System for assisted mobility using eye movements based on electrooculography. IEEE Trans Neural Syst Rehabil 10(4):209–218

    Article  Google Scholar 

  3. Bi L, Fang X, Jie K, Teng T, Ding H, Liu Y (2013) Using a head-up display-based steady-state visually evoked potential brain-computer interface to control a simulated vehicle. IEEE Trans Intell Transp Syst 15(3):959–966

    Article  Google Scholar 

  4. Cecotti H (2010) A self-paced and calibration-less SSVEP-based brain–computer interface speller. IEEE Trans Neural Syst Rehabil 18(2):127–133

    Article  Google Scholar 

  5. Gollee H, Volosyak I, McLachlan AJ, Hunt KJ (2010) An SSVEP-based brain–computer interface for the control of functional electrical stimulation. IEEE Trans Biomed Eng 57(8):1847–1855

    Article  PubMed  Google Scholar 

  6. Horki P, Solis-Escalante T, Neuper C, Muller-Putz G (2011) Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb. Med Biol Eng Comput 49(5):567–577

    Article  PubMed  Google Scholar 

  7. Jin J, Allison BZ, Sellers EW, Brunner C, Horki P, Wang X, Neuper C (2011) Optimized stimulus presentation patterns for an event-related potential EEG-based brain-computer interface. Med Biol Eng Comput 49(2):181–191

    Article  PubMed  Google Scholar 

  8. Lian S, Hu W, Wang K (2014) Automatic user state recognition for hand gesture based low-cost television control system. IEEE Trans Consum Electr 60(1):107–115

    Article  Google Scholar 

  9. Licsar A, Sziranyi T (2005) User-adaptive hand gesture recognition system with interactive training. Image Vis Comput 23(12):1102–1114

    Article  Google Scholar 

  10. Martinez-Millana A, Fico G, Fernandez-Llatas C, Traver V (2015) Performance assessment of a closed-loop system for diabetes management. Med Biol Eng Comput 53(12):1295–1303

    Article  CAS  PubMed  Google Scholar 

  11. Middendort M, McMillan G, Calhoun G, Jones KS (2000) Brain–computer interfaces based on the steady state visual-evoked response. IEEE Trans Rehabil Eng 8(2):211–214

    Article  Google Scholar 

  12. Miller GE, Brown TE, Randolph WR (1985) Voice controller for wheelchairs. Med Biol Eng Comput 23(6):597–600

    Article  CAS  PubMed  Google Scholar 

  13. Müller-Putz GR, Eder E, Wriessnegger SC, Pfurtscheller G (2008) Comparison of DFT and lock- in amplifier features and search for optimal electrode positions in SSVEP-based BCI. J Neurosci Meth 168(1):174–181

    Article  Google Scholar 

  14. Muller-Putz GR, Pfurtscheller G (2007) Control of an electrical prosthesis with an SSVEP-based BCI. IEEE Trans Biomed Eng 55(1):361–364

    Article  Google Scholar 

  15. Pan ST, Li XY (2012) An FPGA-based embedded robust speech recognition system design by combining empirical mode decomposition and a genetic algorithm. IEEE Trans Instrum Meas 61(9):2560–2572

    Article  Google Scholar 

  16. Park SA, Hwang HJ, Lim JH, Choi JH, Jung HK, Im CH (2013) Evaluation of feature extraction methods for EEG-based brain-computer interfaces in terms of robustness to slight changes in electrode locations. Med Biol Eng Comput 51(5):571–579

    Article  PubMed  Google Scholar 

  17. Pfurtscheller G, Solis-Escalante T, Ortner R, Linortner P (2010) Self-paced operation of an SSVEP-Based orthosis with and without an imagery-based “brain-switch:” a feasibility study towards a hybrid BCI. IEEE Trans Neural Syst Rehabil 18(4):1534–4320

    Article  Google Scholar 

  18. Shyu KK, Chiu YJ, Lee PL, Liang JM, Peng SH (2013) Adaptive SSVEP-based BCI system with frequency and pulse duty-cycle stimuli tuning design. IEEE Trans Neural Syst Rehabil 21(5):697–703

    Article  Google Scholar 

  19. Shyu KK, Lee PL, Lee MH, Lin MH, Lai RJ, Chiu YJ (2010) Development of a low-cost FPGA-based SSVEP BCI multimedia control system. IEEE Trans Biomed Circ Syst 4(2):125–132

    Article  Google Scholar 

  20. Trejo LJ, Rosipal R, Matthews B (2006) Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials. IEEE Trans Neural Syst Rehabil 14(2):225–229

    Article  Google Scholar 

  21. Wang Y, Gao X, Hong B, Jia C, Gao S (2008) Brain–computer interfaces based on visual evoked potentials. IEEE Eng Med Biol 27(5):64–71

    Article  CAS  Google Scholar 

  22. Wolpaw JR, Ramoser H, McFarland DJ, Pfurtscheller G (1998) EEG-based communication: improved accuracy by response verification. IEEE Rehabil Eng 6(3):326–333

    Article  CAS  Google Scholar 

  23. Zhu Z, Ji Q (2007) Novel eye gaze tracking techniques under natural head movement. IEEE Trans Biomed Eng 54(12):2246–2260

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan

    Chi-Chun Lo & Shang-Ho Tsai

  2. Department of Engineering and Maintenance, Chang Gung Memorial Hospital, Kaohsiung, Taiwan

    Chi-Chun Lo

  3. Institute of Imaging and Biomedical Photonics, National Chiao Tung University, No. 301, Gaotie 3rd Rd., Guiren Township, T’ai-nan County, 711, Taiwan

    Bor-Shyh Lin

  4. Department of Medical Research, Chi-Mei Medical Center, T’ai-nan, Taiwan

    Bor-Shyh Lin

Authors
  1. Chi-Chun Lo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shang-Ho Tsai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bor-Shyh Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bor-Shyh Lin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lo, CC., Tsai, SH. & Lin, BS. Novel non-contact control system of electric bed for medical healthcare. Med Biol Eng Comput 55, 517–526 (2017). https://doi.org/10.1007/s11517-016-1533-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11517-016-1533-6

Keywords

Search

Navigation