Clinical Interpretation of Working Volume and Weight Support in Upper Limb Robotic Neurorehabilitation after Stroke

被引:4
作者
Iosa, Marco [1 ,2 ]
Martino Cinnera, Alex [2 ,3 ]
Capone, Fioravante [4 ]
Cruciani, Alessandro [4 ]
Paolucci, Matteo [4 ,5 ]
Di Lazzaro, Vincenzo [4 ]
Paolucci, Stefano [2 ]
Morone, Giovanni [2 ]
机构
[1] Sapienza Univ Rome, Dept Psychol, I-00185 Rome, Italy
[2] IRCCS Santa Lucia Fdn, I-00179 Rome, Italy
[3] Foro Italico Univ Rome, Dept Movement Human & Hlth Sci, I-00135 Rome, Italy
[4] Univ Campus Bio Medico Rome, Dept Med, Unit Neurol, Neurophysiol,Neurobiol, I-00128 Rome, Italy
[5] Osped Gen Provinciale M Bufalini, Neurol Unit, AUSL Romagna, I-47521 Cesena, Italy
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 24期
关键词
stroke; upper extremities; motor control; range of motion; robot; exoskeleton; OF-THE-ART; VIRTUAL-REALITY; MOTOR RECOVERY; MOVEMENT; THERAPY;
D O I
10.3390/app112412123
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In the past two decades, many studies reported the efficacy of upper limb robotic rehabilitation in patients after stroke, also in its chronic phase. Among the possible advantages of robotic therapy over conventional therapy are the objective measurements of kinematic and kinetic parameters during therapy, such as the spatial volume covered by the patient's upper limb and the weight support provided by the robot. However, the clinical meaning and the usability of this information is still questioned. Forty patients with chronic stroke were enrolled in this study and assessed at the beginning of upper limb robotic therapy (Armeo(R) Power) and after two weeks (ten sessions) of therapy by recording the working volume and weight support provided by the robot and by administering six clinical scales to assess upper limb mobility, strength, spasticity, pain, neurological deficits, and independency. At baseline, the working volume significantly correlated with spasticity, whereas weight support significantly correlated with upper limb strength, pain, spasticity, and neurological deficits. After two weeks of robotic rehabilitation, all the clinical scores as well as the two parameters improved. However, the percentage changes in the working volume and weight support did not significantly correlate with any of the changes in clinical scores. These results suggest caution in using the robotic parameters as outcome measures because they could follow the general improvement of the patient, but complex relationships with clinical features are possible. Robotic parameters should be analyzed in combination with the clinical scores or other objective measures because they may be informative about therapy progression, and there is a need to combine their clinical, neuroscientific, and biomechanical results to avoid misleading interpretations.
引用
收藏
页数:10
相关论文
共 33 条
[1]   Upper limb motor improvement in chronic stroke after combining botulinum toxin A injection and multi-joints robot-assisted therapy: a case report [J].
Cinnera, Alex Martino ;
Pucello, Alessandra ;
Lupo, Alessandro ;
Gimigliano, Francesca ;
Mammucari, Elisa ;
Lo Cicero, Dario ;
Iosa, Marco ;
Paolucci, Stefano ;
Morone, Giovanni .
OXFORD MEDICAL CASE REPORTS, 2019, (10) :422-425
[2]   Monitoring Neuro-Motor Recovery From Stroke With High-Resolution EEG, Robotics and Virtual Reality: A Proof of Concept [J].
Comani, Silvia ;
Velluto, Lucia ;
Schinaia, Lorenzo ;
Cerroni, Gianluigi ;
Serio, Antonio ;
Buzzelli, Sandro ;
Sorbi, Sandro ;
Guarnieri, Biancamaria .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2015, 23 (06) :1106-1116
[3]  
De Bartolo D, 2019, FUNCT NEUROL, V34, P131
[4]   Repeated Measurements of Arm Joint Passive Range of Motion After Stroke: Interobserver Reliability and Sources of Variation [J].
de Jong, Lex D. ;
Dijkstra, Pieter U. ;
Stewart, Roy E. ;
Postema, Klaas .
PHYSICAL THERAPY, 2012, 92 (08) :1027-1035
[5]   Robot-Assisted Therapy in Upper Extremity Hemiparesis: Overview of an Evidence-Based Approach [J].
Duret, Christophe ;
Grosmaire, Anne-Gaelle ;
Krebs, Hermano Igo .
FRONTIERS IN NEUROLOGY, 2019, 10
[6]   Augmenting clinical evaluation of hemiparetic arm movement with a laboratory-based quantitative measurement of kinematics as a function of limb loading [J].
Ellis, Michael D. ;
Sukal, Theresa ;
DeMott, Tobey ;
Dewald, Julius P. A. .
NEUROREHABILITATION AND NEURAL REPAIR, 2008, 22 (04) :321-329
[7]   Robot-mediated upper limb physiotherapy for patients with spastic hemiparesis: A preliminary study [J].
Fazekas, Gabor ;
Horvath, Monika ;
Troznai, Tibor ;
Toth, Andras .
JOURNAL OF REHABILITATION MEDICINE, 2007, 39 (07) :580-582
[8]   State of the art and challenges for the classification of studies on electromechanical and robotic devices in neurorehabilitation: a scoping review [J].
Gandolfi, Marialuisa ;
Vale, Nicola ;
Posteraro, Federico ;
Morone, Giovanni ;
Dell'orco, Antonella ;
Botticelli, Anita ;
Dimitrova, Eleonora ;
Gervasoni, Elisa ;
Goffredo, Michela ;
Zenzeri, Jacopo ;
Antonini, Arianna ;
Daniele, Carla ;
Benanti, Paolo ;
Boldrini, Paolo ;
Bonaiuti, Donatella ;
Castelli, Enrico ;
Draicchio, Francesco ;
Falabella, Vincenzo ;
Galeri, Silvia ;
Gimigliano, Francesca ;
Grigioni, Mauro ;
Mazzon, Stefano ;
Molteni, Franco ;
Petrarca, Maurizio ;
Picelli, Alessandro ;
Senatore, Michele ;
Turchetti, Giuseppe ;
Giansanti, Daniele ;
Mazzoleni, Stefano .
EUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE, 2021, 57 (05) :831-840
[9]   An algebraic parameterization approach for parallel robots analysis [J].
Husty, Manfred ;
Birlescu, Iosif ;
Tucan, Paul ;
Vaida, Calin ;
Pisla, Doina .
MECHANISM AND MACHINE THEORY, 2019, 140 :245-257
[10]   Seven Capital Devices for the Future of Stroke Rehabilitation [J].
Iosa, M. ;
Morone, G. ;
Fusco, A. ;
Bragoni, M. ;
Coiro, P. ;
Multari, M. ;
Venturiero, V. ;
De Angelis, D. ;
Pratesi, L. ;
Paolucci, S. .
STROKE RESEARCH AND TREATMENT, 2012, 2012