• Global Burden of Disease Collaborative Network. Results of the Global Burden of Disease Study 2019 (GBD 2019) [Internet]. Institute of Health Metrics and Evaluation. Available at: http://ghdx.healthdata.org/gbd-results-tool

  • Belda-Lois, JM et al. Gait rehabilitation after a stroke: an assessment towards a top-down approach. J. Neuroeng. Rehabilit. 8(1), 1–20 (2011).

    Google Scholar

  • Flansbjer, UB, Holmbäck, AM, Downham, D., Patten, C. & Lexell, J. Reliability of gait performance testing in men and women with hemiparesis after stroke. J. Rehabilitation. Med. 37(2), 75–82 (2005).

    Google Scholar PubMed

  • Geyh, S. et al. ICF Core Sets for strokes. J. Rehabilitation. Med. 36135–141 (2004).

    Google Scholar

  • Hill, K. et al. Balance and mobility outcomes for stroke patients: a comprehensive audit. August. J. Physiother. 43173–180 (1997).

    Google Scholar PubMed

  • Park, J., Lee, SU & Jung, SH Prediction of post-stroke functional mobility from initial assessment of cognitive function. Neurorehabilitation. 41(1), 169-177 (2017).

    Google Scholar

  • Bohannon, RW, Andrews, AW & Smith, MB Rehabilitation goals for hemiplegic patients. Int. J. Rehabilitation. Res. 11(2), 181–184 (1988).

    Google Scholar

  • Kramer, S., Johnson, L., Bernhardt, J. & Cumming, T. Energy expenditure and cost while walking after stroke: a systematic review. Camber. Phys. Med. Rehabilit. 97(4), 619–632 (2016).

    Google Scholar PubMed

  • Carr, JH & Shepherd, RB Stroke Rehabilitation – Guidelines for Exercise and Training to Optimize Motor SkillsFirst edition (2003).

  • Pollock, A., St George, B., Fenton, M., and Firkins, L. Top ten research priorities for life after stroke. Neurol lancet. 11(3), 209 (2012).

    Google Scholar PubMed

  • French, B., Thomas, LH, Coupe, J., McMahon, NE, Connell, L., Harrison, J., Sutton, CJ, Tishkovskaya, S. & Watkins, CL Repetitive task training to improve functional ability after a stroke. Cochrane Database System. Round. 11 (2016).

  • Veerbeek, JM et al. What is the evidence for physical therapy after stroke? A systematic review and meta-analysis. PLOS ONE 9(2), e87987 (2014).

    ADS PubMed PubMed Central Google Scholar

  • Bruni, MF et al. What the best evidence tells us about robotic gait rehabilitation in stroke patients: a systematic review and meta-analysis. J. Clin. Neurosci. 1(48), 11–17 (2018).

    Google Scholar

  • Mehrholz, J., Thomas, S., Kugler, J., Pohl, M., and Elsner, B. Electromechanical assisted training for walking after stroke. Cochrane Database System. Round. 10 (2020).

  • Calabro, RS et al. Shaping neuroplasticity using powered exoskeletons in stroke patients: a randomized clinical trial. J. Neuroeng. Rehabilit. 15(1), 1–6 (2018).

    Google Scholar

  • Rehme, AK, Eickhoff, SB, Rottschy, C., Fink, GR, and Grefkes, C. Meta-analysis of probability estimation of motor-related neural activity activation after stroke. Neuroimaging 59(3), 2771–2782 (2012).

    Google Scholar PubMed

  • Coleman, Emergencies et al. Early rehabilitation after stroke: A narrative review. Running. Atheroscler. representing 19(12), 1–2 (2017).

    Google Scholar

  • Jorgensen, HS et al. Outcome and time course of recovery after stroke. First part: Result. The Copenhagen Stroke Study. Camber. Phys. Med. Rehabilit. 76(5), 399–405 (1995).

    Google Scholar PubMed

  • Kreisel, SH, Hennerici, MG & Bäzner, H. Pathophysiology of stroke rehabilitation: the natural course of clinical recovery, use-dependent plasticity, and rehabilitation outcomes. Cerebrovascular. Say. 23(4), 243–255 (2007).

    Google Scholar PubMed

  • Laparido, D. et al. Perceptions of patients, caregivers and staff of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis. J. Neuroeng. Rehabilit. 18(1), 1–24 (2021).

    Google Scholar

  • Danzl, MM, Chelette, KC, Lee, K., Lykins, D. & Sawaki, L. Brain stimulation associated with novel locomotor training with robotic gait brace in chronic stroke: feasibility study. Neurorehabilitation. 33(1), 67-76 (2013).

    Google Scholar

  • Vaughan-Graham, J. et al. Use of the exoskeleton in post-stroke gait rehabilitation: a qualitative study from the perspectives of post-stroke individuals and physiotherapists. J. Neuroeng. Rehabilit. 17(1), 1–5 (2020).

    Google Scholar

  • Louis, DR et al. Patients’ and therapists’ experience and perception of exoskeleton-based physiotherapy during subacute stroke rehabilitation: a qualitative analysis. Invalid. Rehabilit. 201–9 (2021).

    Google Scholar

  • Goffredo, M. et al. Portable, above-ground powered exoskeleton for gait training in subjects with subacute stroke: clinical and gait assessments. EUR. J.Phys. Rehabilit. Med. 55(6), 710–721 (2019).

    Google Scholar PubMed

  • Molteni, F. et al. Gait recovery with a powered exoskeleton above the ground: a randomized controlled trial in subjects with subacute stroke. Brain Sci. 11(1), 104 (2021).

    PubMed PubMed Central Google Scholar

  • Meseguer-Henarejos, AB, Sanchez-Meca, J., Lopez-Pina, JA, and Carles-Hernandez, R. Inter- and intra-rater reliability of the modified Ashworth scale: systematic review and meta-analysis. EUR. J.Phys. Rehabilit. Med. 54(4), 576–590 (2017).

    Google Scholar PubMed

  • Gandolla, M. et al. Self-tuning procedure for exoskeleton-assisted aerial walking: proof of concept in the stroke population. Front. Neurorobot. 121–11 (2018).

    Google Scholar

  • Holmberg, C., Judith, G. & Nicki, T. Qualitative methods for health research. In Forum Qualitative Sozialforschung/Forum: Qualitative Social Research 2006 31 March, flight. 7, No. 2 (2004).

  • Cohen, JW Statistical Power Analysis for Behavioral Sciences 1988 (Lawrence Erlbaum Associates, 1988).

    Google Scholar

  • Freitas, S., Simões, MR, Alves, L. & Santana, I. Montreal Cognitive Assessment: Validation Study for Mild Cognitive Impairment and Alzheimer’s Disease. Alzheimer’s disease. Assoc. Disorder. 27(1), 37–43 (2013).

    Google Scholar PubMed

  • Demeyere, N., Riddoch, MJ, Slavkova, ED, Bickerton, WL & Humphreys, GW The Oxford Cognitive Screen (OCS): Validation of a Stroke-Specific Short Cognitive Screening Tool. Psychol. Assess. 27(3), 883 (2015).

    Google Scholar PubMed

  • Bodien, YG, Carlowicz, CA, Chatelle, C. & Giacino, JT Sensitivity and specificity of the Coma Recovery Scale Revised Total Score in detecting consciousness. Camber. Phys. Med. Rehabilit. 97(3), 490–492 (2016).

    Google Scholar PubMed

  • Mehrholz, J., Wagner, K., Rutte, K., Meiβner, D. & Pohl, M. Predictive validity and responsiveness of functional ambulation category in hemiparetic patients after stroke. Camber. Phys. Med. Rehabilit. 88(10), 1314–1319 (2007).

    Google Scholar PubMed

  • Swank, C., Sikka, S., Driver, S., Bennett, M. & Callender, L. Feasibility of integrating robotic exoskeleton gait training into inpatient rehabilitation. Invalid. Rehabilit. To help. Technology. 15(4), 409–417 (2020).

    Google Scholar PubMed

  • Read, E., Woolsey, C., McGibbon, CA & O’Connell, C. Experiences of physical therapists using the Ekso bionic exoskeleton with patients in a neurorehabilitation hospital: a qualitative study. Rehabilit. Res. Practice. 82020 (2020).

    Google Scholar

  • Mortenson, WB, Pysklywec, A., Chau, L., Prescott, M., and Townson, A. Therapists’ experience with training and implementing an exoskeleton in a rehabilitation center. Invalid. Rehabilit. 91–7 (2020).

    Google Scholar

  • Hidler, JM & Wall, AE Alterations in muscle activation patterns during robot-assisted walking. Clin. Biomech. 20(2), 184–193 (2005).

    Google Scholar

  • Kressler, J., Wymer, T. & Domingo, A. Respiratory, cardiovascular, and metabolic responses during different modes of above-ground bionic ambulation in people with incomplete spinal cord motor injury: a series of cases. J. Rehabilitation. Med. 50(2), 173-180 (2018).

    Google Scholar PubMed

  • Thomassen, GK, Jørgensen, V. & Normann, B. “Back on par with everyone else” – User perspectives on walking with an exoskeleton, a qualitative study. Spinal Cord Ser. Case 5(1), 1–7 (2019).

    Google Scholar

  • Swank, C., Wang-Price, S., Gao, F., and Almutairi, S. Walking with a robotic exoskeleton does not mimic natural gait: a within-subjects study. JMIR rehabilitation. To help. Technology. 6(1), e11023 (2019).

    PubMed PubMed Central Google Scholar

  • DeLuca, A. et al. Exoskeleton for walking rehabilitation: effects of assistance, mechanical structure and walking aids on muscle activations. Appl. Science. 9(14), 2868 (2019).

    Google Scholar

  • Garcia-Cossio, E. et al. Decoding sensorimotor rhythms during robot-assisted treadmill walking for brain-computer interface (BCI) applications. PLOS ONE ten(12), e0137910 (2015).

    PubMed PubMed Central Google Scholar