A Robot-Assisted Neuro-Rehabilitation System for Post-Stroke Patients' Motor Skill Evaluation with ALEx Exoskeleton

被引:20
|
作者
Stroppa, F. [1 ]
Loconsole, C. [1 ]
Marcheschi, S. [1 ]
Frisoli, A. [1 ]
机构
[1] Scuola Super Sant Anna, TeCIP Inst, PERCRO Lab, Pisa, Italy
关键词
RECOVERY; STROKE; MOVEMENTS; IMPROVES; TRIAL;
D O I
10.1007/978-3-319-46669-9_83
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Robotic Neuro Rehabilitation has been proved to be effective for motor recovery and less demanding for therapists. During a therapy, the aim of the task is to maximize the patient's effort with respect to his/her clinical status and motor abilities, improving at the same time his/her impaired movements. In this paper, we propose a framework for performance evaluation of post-stroke subjects able to provide assistance-as-needed based on their motor skills during a therapy session with an upper-limb robotic exoskeleton.
引用
收藏
页码:501 / 505
页数:5
相关论文
共 50 条
  • [31] Repeated Robot-Assisted Unilateral Stiffness Perturbations Result in Significant Aftereffects Relevant to Post-Stroke Gait Rehabilitation
    Chambers, Vaughn
    Artemiadis, Panagiotis
    2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2022), 2022, : 5426 - 5433
  • [32] Robot-assisted Treadmill Training During Rehabilitation of Stroke Patients
    van Nunen, Michiel
    Janssen, Thomas W.
    Konijnenbelt, Manin H.
    de Haan, Arnold
    Gerrits, Karin H.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2010, 42 (05): : 733 - 733
  • [33] Robot-assisted upper limb rehabilitation in chronic stroke patients
    Mazzoleni, S.
    Crecchi, R.
    Posteraro, F.
    Carrozza, M. C.
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 886 - 889
  • [34] ROBOT-ASSISTED MODULATION OF POST-STROKE MOTOR-NETWORK CONNECTIVITY: FROM BASIC SCIENCE TO CLINICAL APPLICATION
    Kumar, N.
    Darainy, M.
    Silver, L.
    Varghese, R.
    Shapiro, S.
    Ostry, D.
    Thiel, A.
    INTERNATIONAL JOURNAL OF STROKE, 2020, 15 (1_SUPPL) : 259 - 259
  • [35] Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients' for Neuro-Rehabilitation Application
    Raza, Haider
    Chowdhury, Anirban
    Bhattacharyya, Saugat
    2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
  • [36] Animal Robot Assisted-therapy for Rehabilitation of Patient with Post-Stroke Depression
    Zulkifli, Winal Zikril
    Shamsuddin, Syamimi
    Hwee, Lim Thiam
    INTERNATIONAL TECHNICAL POSTGRADUATE CONFERENCE, 2017, 2017, 210
  • [37] Development of a program to determine optimal settings for robot-assisted rehabilitation of the post-stroke paretic upper extremity: a simulation study
    Takebayashi, Takashi
    Uchiyama, Yuki
    Okita, Yuho
    Domen, Kazuhisa
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [38] Development of a program to determine optimal settings for robot-assisted rehabilitation of the post-stroke paretic upper extremity: a simulation study
    Takashi Takebayashi
    Yuki Uchiyama
    Yuho Okita
    Kazuhisa Domen
    Scientific Reports, 13
  • [39] REPS:: A rehabilitation expert system for post-stroke patients
    Dankel, DD
    Kristmundsdóttir, MS
    ARTIFICIAL INTELLIGENCE IN MEDICINE, PROCEEDINGS, 2005, 3581 : 94 - 98
  • [40] A Robot-based Gait Training System for Post-Stroke Rehabilitation
    Banh, Sharon
    Zheng, Emily
    Kubota, Alyssa
    Riek, Laurel D.
    HRI '21: COMPANION OF THE 2021 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 2021, : 452 - 456