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Cheng HJ, Chin LF, Kanzler CM, Lehner R, Kuah CWK, Kager S, Josse E, Samkharadze T, Sidarta A, Gonzalez PC, Lie E, Zbytniewska-Mégret M, Wee SK, Liang P, Gassert R, Chua K, Lambercy O, Wenderoth N. Upper limb sensorimotor recovery in Asian stroke survivors: a study protocol for the development and implementation of a Technology-Assisted dIgitaL biOmaRker (TAILOR) platform. Front Neurol 2023; 14:1246888. [PMID: 38107648 PMCID: PMC10722087 DOI: 10.3389/fneur.2023.1246888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 11/06/2023] [Indexed: 12/19/2023] Open
Abstract
Background Stroke is a leading cause of lifelong disability worldwide, partially driven by a reduced ability to use the upper limb in daily life causing increased dependence on caregivers. However, post-stroke functional impairments have only been investigated using limited clinical scores, during short-term longitudinal studies in relatively small patient cohorts. With the addition of technology-based assessments, we propose to complement clinical assessments with more sensitive and objective measures that could more holistically inform on upper limb impairment recovery after stroke, its impact on upper limb use in daily life, and on overall quality of life. This paper describes a pragmatic, longitudinal, observational study protocol aiming to gather a uniquely rich multimodal database to comprehensively describe the time course of upper limb recovery in a representative cohort of 400 Asian adults after stroke. Particularly, we will characterize the longitudinal relationship between upper limb recovery, common post-stroke impairments, functional independence and quality of life. Methods Participants with stroke will be tested at up to eight time points, from within a month to 3 years post-stroke, to capture the influence of transitioning from hospital to community settings. We will perform a battery of established clinical assessments to describe the factors most likely to influence upper limb recovery. Further, we will gather digital health biomarkers from robotic or wearable sensing technology-assisted assessments to sensitively characterize motor and somatosensory impairments and upper limb use in daily life. We will also use both quantitative and qualitative measures to understand health-related quality of life. Lastly, we will describe neurophysiological motor status using transcranial magnetic stimulation. Statistics Descriptive analyses will be first performed to understand post-stroke upper limb impairments and recovery at various time points. The relationships between digital biomarkers and various domains will be explored to inform key aspects of upper limb recovery and its dynamics using correlation matrices. Multiple statistical models will be constructed to characterize the time course of upper limb recovery post-stroke. Subgroups of stroke survivors exhibiting distinct recovery profiles will be identified. Conclusion This is the first study complementing clinical assessments with technology-assisted digital biomarkers to investigate upper limb sensorimotor recovery in Asian stroke survivors. Overall, this study will yield a multimodal data set that longitudinally characterizes post-stroke upper limb recovery in functional impairments, daily-life upper limb use, and health-related quality of life in a large cohort of Asian stroke survivors. This data set generates valuable information on post-stroke upper limb recovery and potentially allows researchers to identify different recovery profiles of subgroups of Asian stroke survivors. This enables the comparisons between the characteristics and recovery profiles of stroke survivors in different regions. Thus, this study lays out the basis to identify early predictors for upper limb recovery, inform clinical decision-making in Asian stroke survivors and establish tailored therapy programs. Clinical trial registration ClinicalTrials.gov, identifier: NCT05322837.
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Affiliation(s)
- Hsiao-Ju Cheng
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
| | - Lay Fong Chin
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
- Institute of Rehabilitation Excellence (IREx), Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore
| | - Christoph M Kanzler
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
- Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Rea Lehner
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
| | - Christopher W K Kuah
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
- Institute of Rehabilitation Excellence (IREx), Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | - Simone Kager
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
- Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Eva Josse
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
- Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Tengiz Samkharadze
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
| | - Ananda Sidarta
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | - Pablo Cruz Gonzalez
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | - Eloise Lie
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | - Monika Zbytniewska-Mégret
- Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Seng Kwee Wee
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
- Institute of Rehabilitation Excellence (IREx), Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
- Singapore Institute of Technology (SIT), Singapore, Singapore
| | - Phyllis Liang
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | - Roger Gassert
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
- Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Karen Chua
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
- Institute of Rehabilitation Excellence (IREx), Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Olivier Lambercy
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
- Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Nicole Wenderoth
- Singapore-ETH Centre, Future Health Technologies Programme, CREATE Campus, Singapore, Singapore
- Neural Control of Movement Laboratory, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
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Budhota A, Chua KSG, Hussain A, Kager S, Cherpin A, Contu S, Vishwanath D, Kuah CWK, Ng CY, Yam LHL, Loh YJ, Rajeswaran DK, Xiang L, Burdet E, Campolo D. Robotic Assisted Upper Limb Training Post Stroke: A Randomized Control Trial Using Combinatory Approach Toward Reducing Workforce Demands. Front Neurol 2021; 12:622014. [PMID: 34149587 PMCID: PMC8206540 DOI: 10.3389/fneur.2021.622014] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 04/23/2021] [Indexed: 01/31/2023] Open
Abstract
Post stroke upper limb rehabilitation is a challenging problem with poor outcomes as 40% of survivors have functionally useless upper limbs. Robot-aided therapy (RAT) is a potential method to alleviate the effort of intensive, task-specific, repetitive upper limb exercises for both patients and therapists. The present study aims to investigate how a time matched combinatory training scheme that incorporates conventional and RAT, using H-Man, compares with conventional training toward reducing workforce demands. In a randomized control trial (NCT02188628, www.clinicaltrials.gov), 44 subacute to chronic stroke survivors with first-ever clinical stroke and predominant arm motor function deficits were recruited and randomized into two groups of 22 subjects: Robotic Therapy (RT) and Conventional Therapy (CT). Both groups received 18 sessions of 90 min; three sessions per week over 6 weeks. In each session, participants of the CT group received 90 min of 1:1 therapist-supervised conventional therapy while participants of the RT group underwent combinatory training which consisted of 60 min of minimally-supervised H-Man therapy followed by 30 min of conventional therapy. The clinical outcomes [Fugl-Meyer (FMA), Action Research Arm Test and, Grip Strength] and the quantitative measures (smoothness, time efficiency, and task error, derived from two robotic assessment tasks) were independently evaluated prior to therapy intervention (week 0), at mid-training (week 3), at the end of training (week 6), and post therapy (week 12 and 24). Significant differences within group were observed at the end of training for all clinical scales compared with baseline [mean and standard deviation of FMA score changes between baseline and week 6; RT: Δ4.41 (3.46) and CT: Δ3.0 (4.0); p < 0.01]. FMA gains were retained 18 weeks post-training [week 24; RT: Δ5.38 (4.67) and week 24 CT: Δ4.50 (5.35); p < 0.01]. The RT group clinical scores improved similarly when compared to CT group with no significant inter-group at all time points although the conventional therapy time was reduced to one third in RT group. There were no training-related adverse side effects. In conclusion, time matched combinatory training incorporating H-Man RAT produced similar outcomes compared to conventional therapy alone. Hence, this study supports a combinatory approach to improve motor function in post-stroke arm paresis. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT02188628.
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Affiliation(s)
- Aamani Budhota
- Interdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore.,Robotic Research Center, Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
| | - Karen S G Chua
- Centre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore
| | - Asif Hussain
- Robotic Research Center, Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
| | - Simone Kager
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore
| | - Adèle Cherpin
- Robotic Research Center, Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
| | - Sara Contu
- Robotic Research Center, Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
| | - Deshmukh Vishwanath
- Centre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore
| | - Christopher W K Kuah
- Centre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore
| | - Chwee Yin Ng
- Centre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore
| | - Lester H L Yam
- Centre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore
| | - Yong Joo Loh
- Centre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore
| | - Deshan Kumar Rajeswaran
- Centre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore
| | - Liming Xiang
- School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, Singapore
| | - Etienne Burdet
- Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, United Kingdom
| | - Domenico Campolo
- Robotic Research Center, Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
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3
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Kager S, Hussain A, Budhota A, Dailey WD, Hughes CM, Deshmukh VA, Kuah CW, Ng CY, Yam LH, Xiang L, Ang MH, Chua KS, Campolo D. Work with me, not for me: Relationship between robotic assistance and performance in subacute and chronic stroke patients. J Rehabil Assist Technol Eng 2020; 6:2055668319881583. [PMID: 31949919 PMCID: PMC6952851 DOI: 10.1177/2055668319881583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 08/29/2019] [Indexed: 11/15/2022] Open
Abstract
Introduction Studies in robotic therapy which applied the performance enhancement approach
report improvements in motor performance during training, though these
improvements do not always transfer to motor learning. Objectives We postulate that there exists an assistance threshold for which performance
saturates. Above this threshold, the robot’s input outweighs the patient’s
input and likely learning is not fostered. This study investigated the
relationship between assistance and performance changes in stroke patients
to find the assistance threshold for performance saturation. Methods Twelve subacute and chronic stroke patients engaged in five sessions (over
two weeks, each 60 min) in which they performed a reaching task with the
rehabilitation robot H-Man in presence of varying levels of haptic
assistance (50 N/m to 290 N/m, randomized order). In two additional
sessions, a therapist manually tuned the assistance to promote maximal motor
learning. Results Higher levels of assistance resulted in smoother and faster performance that
saturated at assistance levels with
K ≥ 110 N/m. Also, the therapist selected
assistance levels of K = 175 N/m or
below. Conclusion The findings of the study indicate that low levels of assistance
(K ≤ 175 N/m) can sufficiently induce
a significant change in performance.
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Affiliation(s)
- Simone Kager
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.,NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
| | - Asif Hussain
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
| | - Aamani Budhota
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.,Interdisciplinary Graduate School, Nanyang Technological University, Singapore
| | - Wayne D Dailey
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
| | - Charmayne Ml Hughes
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.,Health Equity Institute, San Francisco State University, San Francisco, CA, USA
| | - Vishwanath A Deshmukh
- Centre for Advanced Rehabilitation Therapeutics, TTSH Rehabilitation Centre, Department of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore
| | - Christopher Wk Kuah
- Centre for Advanced Rehabilitation Therapeutics, TTSH Rehabilitation Centre, Department of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore
| | - Chwee Yin Ng
- Centre for Advanced Rehabilitation Therapeutics, TTSH Rehabilitation Centre, Department of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore
| | - Lester Hl Yam
- Centre for Advanced Rehabilitation Therapeutics, TTSH Rehabilitation Centre, Department of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore
| | - Liming Xiang
- School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore
| | - Marcelo H Ang
- Department of Mechanical Engineering, National University of Singapore, Singapore
| | - Karen Sg Chua
- Health Equity Institute, San Francisco State University, San Francisco, CA, USA
| | - Domenico Campolo
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
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Cherpin A, Kager S, Budhota A, Contu S, Vishwanath D, Kuah CW, Ng CY, Yam LH, Xiang L, Hussain A, Karen S G C, Campolo D. A preliminary study on the relationship between proprioceptive deficits and motor functions in chronic stroke patients. IEEE Int Conf Rehabil Robot 2020; 2019:465-470. [PMID: 31374673 DOI: 10.1109/icorr.2019.8779447] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Although motor and sensory impairments of the upper limb after stroke have been widely studied, the relationship between sensory deficits and motor functions has been less thoroughly explored. In this ongoing study, we investigated the relationship between proprioceptive impairments and motor functions with 20 chronic stroke survivors. Their proprioceptive abilities were assessed with a passive joint position matching test using H-Man and their motor functions were assessed with ARAT (Action Research Arm Test) and FMA (Fugl Meyer Upper Extremity Assessment) clinical scores. The assessments were conducted before, during and after the therapy. Results indicated a significant difference between the proprioceptive outcomes of healthy and stroke participants (at baseline) in both matching accuracy (absolute error, p=0.02) and precision (variability of the signed error, p=0.03). Significant correlations were found between the proprioceptive assessment outcomes (assessed before the beginning of the motor rehabilitation) of stroke participants with impaired proprioception and their ARAT clinical scores assessed at the first follow-up (week 12) (rho =- 0.74 and p=0.047 for the absolute error; rho =-0.78 and p= 0.03 for the variability of the signed error). The results from this preliminary study indicated a significant relationship between proprioceptive impairments and motor function performances in proprioceptively impaired chronic stroke participants.
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5
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Kager S, Hussain A, Cherpin A, Melendez-Calderon A, Takagi A, Endo S, Burdet E, Hirche S, Ang MH, Campolo D. The effect of skill level matching in dyadic interaction on learning of a tracing task. IEEE Int Conf Rehabil Robot 2020; 2019:824-829. [PMID: 31374732 DOI: 10.1109/icorr.2019.8779485] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Dyadic interaction between humans has gained great research interest in the last years. The effects of factors that influence the interaction, as e.g. roles or skill level matching, are still not well understood. In this paper, we further investigated the effect of skill level matching between partners on learning of a visuo-motor task. Understanding the effect of skill level matching is crucial for applications in collaborative rehabilitation. Fifteen healthy participants were asked to trace a path while being subjected to a visuo-motor rotation (Novice). The Novices were paired with a partner, forming one of the three Dyad Types: a) haptic connection to another Novice, b) haptic connection to an Expert (no visuo-motor rotation), or c) no haptic. The intervention consisted of a Familiarization phase, followed by a Training phase, in which the Novices were learning the task in the respective Dyad Type, and a Test phase in which the learning was assessed (haptic connection removed, if any). Results suggest that learning of the task with a haptic connection to an Expert was least beneficial. However, during the Training phase the dyads comprising an Expert clearly outperformed the dyads with matched skill levels. The results point towards the same direction as previous findings in literature and can be explained by current motor-learning theories. Future work needs to corroborate these preliminary results.
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Hussain A, Budhota A, Contu S, Kager S, Vishwanath DA, Kuah CWK, Yam LHL, Chua KSG, Masia L, Campolo D. Quantitative assessment of motor functions post-stroke: Responsiveness of upper-extremity robotic measures and its task dependence. IEEE Int Conf Rehabil Robot 2018; 2017:1037-1042. [PMID: 28813958 DOI: 10.1109/icorr.2017.8009386] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Technology aided measures offer a sensitive, accurate and time-efflcient approach for the assessment of sensorimotor function after neurological impairment compared to standard clinical assessments. This preliminary study investigated the relationship between task definition and its effect on robotic measures using a planar, two degree of freedom, robotic-manipulator (H-Man). Four chronic stroke participants (49.5±11.95 years, 2 Female, FMA: 37.5±13.96) and eight healthy control participants (26.25± 4.70 years, 2 Female) participated in the study. Motor functions were evaluated using line tracing and circle tracing tasks with dominant and nondominant hand of healthy and affected vs. non affected hand of stroke participants. The results show significant dependence of quantitative measures on investigated tasks.
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Chua K, Kuah C, Ng C, Yam L, Budhota A, Contu S, Kager S, Hussain A, Xiang L, Campolo D. Clinical and kinematic evaluation of the H-Man arm robot for post-stroke upper limb rehabilitation: Preliminary findings of a randomised controlled trial. Ann Phys Rehabil Med 2018. [DOI: 10.1016/j.rehab.2018.05.203] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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8
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Contu S, Hussain A, Kager S, Budhota A, Deshmukh VA, Kuah CWK, Yam LHL, Xiang L, Chua KSG, Masia L, Campolo D. Proprioceptive assessment in clinical settings: Evaluation of joint position sense in upper limb post-stroke using a robotic manipulator. PLoS One 2017; 12:e0183257. [PMID: 29161264 PMCID: PMC5697829 DOI: 10.1371/journal.pone.0183257] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 08/01/2017] [Indexed: 11/18/2022] Open
Abstract
Proprioception is a critical component for motor functions and directly affects motor learning after neurological injuries. Conventional methods for its assessment are generally ordinal in nature and hence lack sensitivity. Robotic devices designed to promote sensorimotor learning can potentially provide quantitative precise, accurate, and reliable assessments of sensory impairments. In this paper, we investigate the clinical applicability and validity of using a planar 2 degrees of freedom robot to quantitatively assess proprioceptive deficits in post-stroke participants. Nine stroke survivors and nine healthy subjects participated in the study. Participants’ hand was passively moved to the target position guided by the H-Man robot (Criterion movement) and were asked to indicate during a second passive movement towards the same target (Matching movement) when they felt that they matched the target position. The assessment was carried out on a planar surface for movements in the forward and oblique directions in the contralateral and ipsilateral sides of the tested arm. The matching performance was evaluated in terms of error magnitude (absolute and signed) and its variability. Stroke patients showed higher variability in the estimation of the target position compared to the healthy participants. Further, an effect of target was found, with lower absolute errors in the contralateral side. Pairwise comparison between individual stroke participant and control participants showed significant proprioceptive deficits in two patients. The proposed assessment of passive joint position sense was inherently simple and all participants, regardless of motor impairment level, could complete it in less than 10 minutes. Therefore, the method can potentially be carried out to detect changes in proprioceptive deficits in clinical settings.
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Affiliation(s)
- Sara Contu
- Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
| | - Asif Hussain
- Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
| | - Simone Kager
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore
| | - Aamani Budhota
- Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
- Interdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore
| | - Vishwanath A. Deshmukh
- Centre for Advanced Rehabilitation Therapeutics, Department of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Christopher W. K. Kuah
- Centre for Advanced Rehabilitation Therapeutics, Department of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Lester H. L. Yam
- Centre for Advanced Rehabilitation Therapeutics, Department of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Liming Xiang
- School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, Singapore
| | - Karen S. G. Chua
- Centre for Advanced Rehabilitation Therapeutics, Department of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Lorenzo Masia
- Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
| | - Domenico Campolo
- Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
- * E-mail:
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Kager S. [On the management of retinal blood circulation disorders due to arteriosclerosis and their sequellae]. Med Klin 1967; 62:1466-7. [PMID: 5627988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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