Upper-Limb Function Assessment Using VBBTs for Stroke Patients

被引:33
|
作者
Cho, Sungmin [1 ,2 ]
Kim, Won-Seok [3 ]
Paik, Nam-Jong [4 ]
Bang, Hyunwoo [5 ]
机构
[1] Seoul Natl Univ, New Media Lab, Seoul 151, South Korea
[2] Seoul Natl Univ, Dept Mech & Aerosp Engn, Seoul 151, South Korea
[3] Seoul Natl Univ, Coll Med, Rehabil Med, Seoul 151, South Korea
[4] Seoul Natl Univ, Coll Med, Dept Rehabil Med, Seoul 151, South Korea
[5] Seoul Natl Univ, Mech Engn, Seoul 151, South Korea
关键词
VIRTUAL-REALITY; BLOCK TEST; VALIDITY; DEXTERITY; RECOVERY; RELIABILITY; KINECT; BOX;
D O I
10.1109/MCG.2015.2
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Evaluating and quantifying the upper-limb functions are essential to planning effective patient rehabilitation. The box and block test (BBT) is a conventional, simple, and easy-to-apply assessment tool that is used in hospitals, and previous studies have demonstrated its usefulness in stroke rehabilitation. Using a conventional depth-sensing camera, the authors developed a virtual box and block test (VBBT) system for hand, finger, and grasping assessments based on the BBT used for the grasping ability test in hospitals. Such a virtual upper-limb-function assessment tool that can be implemented in a home setting could be a key component in a home-based virtual rehabilitation system. Comparison results between the real and virtual BBTs show the possibilities for virtualizing conventional and unsupervised assessments. © 1981-2012 IEEE.
引用
收藏
页码:70 / 78
页数:9
相关论文
共 50 条
  • [31] Exploring the Capabilities of Harmony for Upper-Limb Stroke Therapy
    de Oliveira, Ana C.
    Rose, Chad G.
    Warburton, Kevin
    Ogden, Evan M.
    Whitford, Bob
    Lee, Robert K.
    Deshpande, Ashish D.
    2019 IEEE 16TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR), 2019, : 637 - 643
  • [32] AGONIST AND ANTAGONIST ACTIVITY DURING VOLUNTARY UPPER-LIMB MOVEMENT IN PATIENTS WITH STROKE
    GOWLAND, C
    DEBRUIN, H
    BASMAJIAN, JV
    PLEWS, N
    BURCEA, I
    PHYSICAL THERAPY, 1992, 72 (09): : 624 - 633
  • [33] Strength Training Improves Upper-Limb Function in Individuals With Stroke A Meta-Analysis
    Harris, Jocelyn E.
    Eng, Janice J.
    STROKE, 2010, 41 (01) : 136 - 140
  • [34] Wearable system for post stroke rehabilitation of the upper-limb
    Lo Russi, F.
    Tognetti, A.
    Giorgino, T.
    Quaglini, S.
    BIOMEDICINE & PHARMACOTHERAPY, 2006, 60 (08) : 473 - 474
  • [35] DEVELOPMENT OF A CLINICAL-ASSESSMENT OF QUALITY OF MOVEMENT FOR UNILATERAL UPPER-LIMB FUNCTION
    JOHNSON, LM
    RANDALL, MJ
    REDDIHOUGH, DS
    OKE, LE
    BYRT, TA
    BACH, TM
    DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 1994, 36 (11): : 965 - 973
  • [36] Towards Clinically Relevant Automatic Assessment of Upper-limb Motor Function Impairment
    Lee, Seung-Hee
    Song, Minsu
    Kim, Jonghyun
    2016 3RD IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS, 2016, : 148 - 151
  • [37] Validating ArmAssist Assessment as outcome measure in upper-limb post-stroke telerehabilitation
    Rodriguez-de-Pablo, Cristina
    Balasubramanian, Sivakumar
    Savic, Andrej
    Tomic, Tijana D.
    Konstantinovic, Ljubica
    Keller, Thierry
    2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 4623 - 4626
  • [38] Robotic technologies and rehabilitation: new tools for upper-limb therapy and assessment in chronic stroke
    Zollo, L.
    Gallotta, E.
    Guglielmelli, E.
    Sterzi, S.
    EUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE, 2011, 47 (02) : 223 - 236
  • [39] Towards Bilateral Upper-Limb Rehabilitation after Stroke using Kinect Game
    Sookhanaphibarn, Kingkarn
    Phukongchai, Welaiporn
    Santad, Tossaporn
    Choensawat, Worawat
    2018 IEEE 7TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE 2018), 2018, : 818 - 819
  • [40] Design of A Clinically Relevant Upper-Limb Exoskeleton Robot for Stroke Patients with Spasticity
    Lee, Dong Jin
    Bae, Sung Jin
    Jang, Sung Ho
    Chang, Pyung Hun
    2017 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR), 2017, : 622 - 627