Literature DB >> 27306537

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

Chi-Chun Lo1,2, Shang-Ho Tsai1, Bor-Shyh Lin3,4.   

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.

Entities:  

Keywords:  Disabled patients; Electric bed; Medical healthcare; Non-contact controller; Visual stimulus tablet; Wireless EEG acquisition module

Mesh:

Year:  2016        PMID: 27306537     DOI: 10.1007/s11517-016-1533-6

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  19 in total

1.  Brain-computer interfaces based on the steady-state visual-evoked response.

Authors:  M Middendorf; G McMillan; G Calhoun; K S Jones
Journal:  IEEE Trans Rehabil Eng       Date:  2000-06

2.  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.

Authors:  Leonard J Trejo; Roman Rosipal; Bryan Matthews
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2006-06       Impact factor: 3.802

3.  Comparison of DFT and lock-in amplifier features and search for optimal electrode positions in SSVEP-based BCI.

Authors:  Gernot R Müller-Putz; Evelin Eder; Selina C Wriessnegger; Gert Pfurtscheller
Journal:  J Neurosci Methods       Date:  2007-09-29       Impact factor: 2.390

4.  BCI demographics: how many (and what kinds of) people can use an SSVEP BCI?

Authors:  Brendan Allison; Thorsten Luth; Diana Valbuena; Amir Teymourian; Ivan Volosyak; Axel Graser
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-01-15       Impact factor: 3.802

Review 5.  Brain-computer interfaces based on visual evoked potentials.

Authors:  Yijun Wang; Xiaorong Gao; Bo Hong; Chuan Jia; Shangkai Gao
Journal:  IEEE Eng Med Biol Mag       Date:  2008 Sep-Oct

6.  Self-paced operation of an SSVEP-Based orthosis with and without an imagery-based "brain switch:" a feasibility study towards a hybrid BCI.

Authors:  Gert Pfurtscheller; Teodoro Solis-Escalante; Rupert Ortner; Patricia Linortner; Gernot R Müller-Putz
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-02-08       Impact factor: 3.802

7.  An SSVEP-based brain-computer interface for the control of functional electrical stimulation.

Authors:  Henrik Gollee; Ivan Volosyak; Angus J McLachlan; Kenneth J Hunt; Axel Gräser
Journal:  IEEE Trans Biomed Eng       Date:  2010-02-18       Impact factor: 4.538

8.  Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb.

Authors:  Petar Horki; Teodoro Solis-Escalante; Christa Neuper; Gernot Müller-Putz
Journal:  Med Biol Eng Comput       Date:  2011-03-11       Impact factor: 2.602

9.  Voice controller for wheelchairs.

Authors:  G E Miller; T E Brown; W R Randolph
Journal:  Med Biol Eng Comput       Date:  1985-11       Impact factor: 2.602

10.  Control of an electrical prosthesis with an SSVEP-based BCI.

Authors:  Gernot R Müller-Putz; Gert Pfurtscheller
Journal:  IEEE Trans Biomed Eng       Date:  2008-01       Impact factor: 4.538

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