NDLI: Development of an ADL and Neuro-Rehabilitation assistance apparatus for upper limbs and evaluation of muscle and cerebral activity

Content Provider	IEEE Xplore Digital Library
Author	Tanaka, E. Saegusa, S. Iwasaki, Y. Yuge, L.
Copyright Year	2014
Description	Author affiliation: Grad. Sch. of Biomed. & Health Sci., Hiroshima Univ., Hiroshima, Japan (Yuge, L.) \|\| Dept. of Machinery & Control Syst., Shibaura Inst. of Technol., Saitama, Japan (Tanaka, E.) \|\| Omori Hosp., Toho Univ., Tokyo, Japan (Iwasaki, Y.) \|\| Center for Collaborative Res. &Community, Hiroshima Univ., Higashi-Hiroshima, Japan (Saegusa, S.)
Abstract	An assistance apparatus for upper limbs for patients who can control their finger but they cannot lift up their arms themselves, for example myopathy and hemiplegic patients, was developed. The mechanism of assistance is utilizes the differential gears to lose the weight and volume of the mechanical arm. That enabled us to configure three motors to drive two DOFs (Degrees of freedom) for the shoulder and one DOF for the elbow around the root of the mechanical arm. This arm has two support trays, for wrist and upper arm. Furthermore, to realize other ADL (activities of daily living) motions (for instance, eating, writing, putting on making up, wiping his/her face, and so on) themselves, we proposed to control the device using the targeted posture map for the mechanical arm. To be able to choose the appropriate input for each patient, various input interfaces, for example, joy-stick, push buttons, sensor glove using bending sensors, and so on, are equipped. Generally, even though a human behaves an atonic motion, the maximum voluntary contraction (%MVC) outputs at least from 5 to 10 %. The usage of this apparatus is to move the user's upper limbs with dependence completely, and the purpose of this apparatus is to decrease the value of %MVC up to approximately 10 %. Therefore, in this paper, the muscles of the user were evaluated with the ratio of %MVC. To confirm the effectiveness of assistance ability, we measured muscle activity while using the device, and compared the %MVC data between using the device or not. As a result, the activity decreased up to 80%, and the effectiveness of this device could be confirmed. Furthermore, to expand the usage of this apparatus to encompass Neuro-Rehabilitation as well, we measured cerebral activity while using the device for rehabilitation with a near-infrared spectroscopy (NIRS). Then we compared the data from using the device or not, and input motion from a third person. By using this device, the cerebral activity decreased especially when the target motion was complex. However, when the subject input the motion themselves, the cerebral activity increased more than when the data is input by a third person, especially, when the target motion was complex. Therefore, for use in Neuro-Rehabilitation, we found it is important the subject input the target motion him/herself. Finally, the influence of the cerebral activity according to the difference of the input devices was measured. As a result, these kinds of input devices have to be selected according to the purpose of the user.
Starting Page	543
Ending Page	548
File Size	14600468
Page Count	6
File Format	PDF
ISBN	9781889335490
DOI	10.1109/WAC.2014.6936037
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Muscles Elbow Indexes Motion measurement Ice Nickel Cerebral Activity ADL and Neuro-Rehabilitation Assistance Muscle Activity
Content Type	Text
Resource Type	Article

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