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Research

Hocoma is proud of the huge interest that our devices have sparked in the research community over the last 20 years! Over 700 articles have been published in peer reviewed journals, making them by far the best investigated devices in the field of rehabilitation technology. Please find the list of our publications below.

List of all Publications

Author

Title

Publication Type

Year

Brihmat N., Loubinoux I., Castel-Lacanal E., Marque P., Gasq D.

Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use

J NeuroEngineering Rehabil 17, 130 (2020). https://doi.org/10.1186/s12984-020-00759-2

Journal Article

2020

Iuppariello, Luigi, Faiella, G., Macias, P., Cesarelli, Mario, Nespoli, Maurizio, Clemente, Fabrizio

Novel kinematics indexes for the upper limb reaching movements evaluation with robotic exoskeleton

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Bari, Italy, 2020, pp. 1-5, doi: 10.1109/MeMeA49120.2020.9137188.

Conference Paper

2020

Alhwoaimel, N., Warner, M., Hughes A.M., Ferrari, F., Burridge J.H., Kwee Wee, S., Verheyden G., Turk, R.

Concurrent Validity of a Novel Wireless Inertial Measurement System for Assessing Trunk Impairment in People with Stroke

Sensors (Basel). 2020 Mar; 20(6): 1699.

Journal Article

2020

Menner, Marcel, Neuner, Lukas, Lunenburger L., Zeilinger, Melanie

Using Human Ratings for Feedback Control: A Supervised Learning Approach With Application to Rehabilitation Robotics

Menner, M., L. Neuner, L. Lünenburger and M. N. Zeilinger (2020). "Using Human Ratings for Feedback Control: A Supervised Learning Approach With Application to Rehabilitation Robotics." IEEE Transactions on Robotics 36(3): 789-801.

Journal Article

2020

Ortmann S., Kesselring J., Kool J.

Reliability and validity of measuring grip strength with a robotic-assisted device in patients after stroke

International Journal of Therapy and Rehabilitation

Journal Article

2020

Tartaglia G.

Reliability and Validity of IMU-based Upper Limb Assessment Tests in Stroke Survivors

Politecnico di Milano, a.a. 2018-2019

Thesis

2019

Roetenberg D., Höller C., Mattmüller K., Degen M., Allum J.H.

Comparison of a Low-Cost Miniature Inertial Sensor Module and a Fiber-Optic Gyroscope for Clinical Balance and Gait Assessments

Journal of Healthcare Engineering Volume 2019, Article ID 9816961

Journal Article

2019

Brihmat N., Gasq D., Castel-Lacanal E., Loubinoux I., Marque P.

The Armeo®Spring is a valid and reliable tool to quantify motor impairment in post-stroke hemiplegic patients

ISPRM 2019

Conference Contribution

2019

Cherni Y., Girardin-Vignola G., Ballaz L., Begon M.

Reliability of Maximum Isometric Hip and Knee Torque Measurements in Children with Cerebral Palsy Using a Paediatric Exoskeleton – Lokomat

Neurophysiol Clin.

Journal Article

2018

Perry B.E., Evans E.K., Stokic D.S.

Weight compensation characteristics of Armeo®Spring exoskeleton: implications for clinical practice and research

Journal of NeuroEngineering and Rehabilitation.14; (1):14

Journal Article

2017

Matheve T., De Baets L., Rast F., Bauer C.M., Timmermans A.

Within/between-session reliability and agreement of lumbopelvic kinematics in the sagittal plane during functional movement control tasks in healthy persons

Musculoskelet Sci Pract.

Journal Article

2017

Longhi M., Merlo A., Prati P., Giacobbi M., Mazzoli D.

Instrumental indices for upper limb function assessment in stroke patients: a validation study

J Neuroeng Rehabil.13; (1):52

Journal Article

2016

Chisholm A.E., Domingo A., Jeyasurya J., Lam T.

Quantification of Lower Extremity Kinesthesia Deficits Using a Robotic Exoskeleton in People with a Spinal Cord Injury

Neurorehabil Neural Repair.30; (3):199-208

Journal Article

2016

Peri E., Biffi, Emilia, Maghini C., Servodio Iammarrone F., Gagliardi C., Germiniasi C., Pedrocchi A., Turconi A.C., Reni, Gianluigi

Quantitative Evaluation of Performance during Robot-assisted Treatment

Methods Inf Med.55; (1):84-8

Journal Article

2016

Ortmann S., Kesselring J., Kool J.

Reliabilität und Validität der Handkraftmessung eines Robotik-gestützten Handtherapiesystems bei Patienten nach Schlaganfall

Physioswiss-Congress 2016. Basel, Switzerland

Conference Contribution

2016

Krishnan C., Washabaugh E.P., Seetharaman Y.

A Low Cost Real-Time Motion Tracking Approach Using Webcam Technology

J Biomech.48; (3):544-8

Journal Article

2015

Fong J., Crocher V., Oetomo D., Tan Y.

An investigation into the reliability of upper-limb robotic exoskeleton measurements for clinical evaluation in neurorehabilitation

7th International IEEE EMBS Conference on Neural Engineering. Montpellier, France, 22-24 April 2015; p.

Conference Paper

2015

Schneider J.C., Ozsecen M.Y., Muraoka N.K., Mancinelli C., Della Croce U., Ryan C.M., Bonato Paolo

Feasibility of an Exoskeleton-Based Interactive Video Game System for Upper Extremity Burn Contractures

PM R.8; (5):445-452

Journal Article

2015

Saengsuwan J., Nef T., Laubacher M., Hunt K.J.

Submaximal cardiopulmonary thresholds on a robotics-assisted tilt table, a cycle and a treadmill: a comparative analysis

Biomed Eng Online.14; (1):104

Journal Article

2015

Galen S.S., Clarke C.J., McLean A.N., Allan D.B., Conway B.A.

Isometric Hip and Knee Torque Measurements as an Outcome Measure in Robot Assisted Gait Training

NeuroRehabilitation.34; (2):287-95

Journal Article

2014

Gorman P.H., Geigle P.R., Chen K., York H., Scott W.

Reliability and Relatedness of Peak Vo2 Assessments During Body Weight Supported Treadmill Training and Arm Cycle Ergometry in Individuals with Chronic Motor Incomplete Spinal Cord Injury

Spinal Cord.52; (4):287-91

Journal Article

2014

Schindelholz M., Stoller O., Hunt K.J.

A Software Module for Cardiovascular Rehabilitation in Robotics-Assisted Treadmill Exercise

Biomedical Signal Processing and Control.10; 296-307

Journal Article

2013

Guidali M., Keller U., Klamroth-Marganska V., Nef T., Riener R.

Estimating the patient’s contribution during robot-assisted therapy

J Rehabil Res Dev.50; (3):379-94

Journal Article

2013

Ghiasi F., Hadian M.R., Bagheri H., Yekaninejad M.S., Saberi H., Noroozi A.

Change of Spasticity Following Robotic-Assisted Gait Training in Patients with Chronic Incomplete Spinal Cord Injury: Preliminary Results

American Journal of Neuroprotection and Neuroregeneration.4; (1):53-57

Journal Article

2012

Stoller O., Waser M., Stammler L., Schuster C.

Evaluation of Robot-Assisted Gait Training Using Integrated Biofeedback in Neurologic Disorders

Gait Posture.35; (4):595-600

Journal Article

2012

Galen S.S., Clarke C.J., Allan D.B., Conway B.A.

A Portable Gait Assessment Tool to Record Temporal Gait Parameters in Sci

Med Eng Phys.33; (5):626-32

Journal Article

2011

Schmartz A.C., Meyer-Heim A.D., Müller R., Bolliger M.

Measurement of Muscle Stiffness Using Robotic Assisted Gait Orthosis in Children with Cerebral Palsy: A Proof of Concept

Disabil Rehabil Assist Technol.6; (1):29-37

Journal Article

2011

Domingo A., Marriott E., de Grave R.B., Lam T.

Quantifying Lower Limb Joint Position Sense Using a Robotic Exoskeleton: A Pilot Study

IEEE Int Conf Rehabil Robot. Jun 29-Jul 1; 2011; p. 5975455

Conference Paper

2011

Zariffa J., Kapadia N., Kramer J., Taylor P., Alizadeh-Meghrazi M., Zivanovic V., Albisser U., Willms R., Townson A., Curt A., Popovic M., Steeves J.

Relationship between clinical assessments of function and measurements from an upper-limb robotic rehabilitation device in cervical spinal cord injury

IEEE Trans Neural Syst Rehabil Eng.

Journal Article

2011

Banz R., Bolliger M., Muller S., Santelli C., Riener R.

A Method of Estimating the Degree of Active Participation During Stepping in a Driven Gait Orthosis Based on Actuator Force Profile Matching

IEEE Trans Neural Syst Rehabil Eng.17; (1):15-22

Journal Article

2009

Mayr A., Saltuari L., Lunenburger L., Nothdurfter W.

Is the Lokomat Robotic Assistive Device Capable of Objectively Measuring Muscle Tone?

5th World Congress for NeuroRehabilitation. Brasilia, Brazil, Neurorehabilitation and Neural Repair. 22; (5): p. 597

Conference Proceedings

2008

Bolliger M., Banz R., Dietz V., Lunenburger L.

Standardized Voluntary Force Measurement in a Lower Extremity Rehabilitation Robot

Journal of NeuroEngineering and Rehabilitation 2008, 5:23 doi:10.1186/1743-0003-5-23

Journal Article

2008

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