Mobility related physical and functional losses due to aging and disease - a motivation for lower limb exoskeletons
Open accessAbstract
Background: Physical and functional losses due to aging and diseases decrease human mobility, independence, and quality of life. This study is aimed at summarizing and quantifying these losses in order to motivate solutions to overcome them with a special focus on the possibilities by using lower limb exoskeletons. Methods: A narrative literature review was performed to determine a broad range of mobility-related physical and functional measures that are affected by aging and selected cardiovascular, respiratory, musculoskeletal, and neurological diseases. Results: The study identified that decreases in limb maximum muscle force and power (33% and 49%, respectively, 25–75 yrs) and in maximum oxygen consumption (40%, 20–80 yrs) occur for older adults compared to young adults. Reaction times more than double (18–90 yrs) and losses in the visual, vestibular, and somatosensory systems were reported. Additionally, we found decreases in steps per day (75%, 60–85 yrs), maximum walking speed (24% 25–75 yrs), and maximum six-minute and self-selected walking speed (38% and 21%, respectively, 20–85 yrs), while we found increases in the number of falls relative to the number of steps per day (800%), injuries due to falls (472%, 30–90 yrs) and deaths caused by fall (4000%, 65–90 yrs). Measures were identified to be worse for individuals with impaired mobility. Additional detrimental effects identified for them were the loss of upright standing and locomotion, freezing in movement, joint stress, pain, and changes in gait patterns. Discussion: This review shows that aging and chronic conditions result in wide-ranging losses in physical and sensory capabilities. While the impact of these losses are relatively modest for level walking, they become limiting during more demanding tasks such as walking on inclined ground, climbing stairs, or walking over longer periods, and especially when coupled with a debilitating disease. As the physical and functional parameters are closely related, we believe that lost functional capabilities can be indirectly improved by training of the physical capabilities. However, assistive devices can supplement the lost functional capabilities directly by compensating for losses with propulsion, weight support, and balance support. Conclusions: Exoskeletons are a new generation of assistive devices that have the potential to provide both, training capabilities and functional compensation, to enhance human mobility.
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Reducing the metabolic rate of walking and running with a versatile, portable exosuit
Kim, J., Lee, G., Heimgartner, R., Revi, D. A., Karavas, N. C., Nathanson, D., Galiana, I., Eckert-Erdheim, A. M., Murphy, P., Perry, D., et al. (2019) · Science · doi:10.1126/science.aav7536 · Cited by 491 · see citing works
Self-citationReview of control strategies for lower-limb exoskeletons to assist gait
Baud, R., Manzoori, A. R., Ijspeert, A. J., & Bouri, M. (2021) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-021-00906-3 · Cited by 384 · see citing works
Wang, J., Li, Y., Yang, G.-Y., & Jin, K. (2024) · Aging and Disease · doi:10.14336/ad.2024.0124-1 · Cited by 193 · see citing works
Age and sex differences in normative gait patterns
Rowe, E., Beauchamp, M. K., & Wilson, J. L. A. (2021) · Gait & Posture · doi:10.1016/j.gaitpost.2021.05.014 · Cited by 89 · see citing works
Stance and Swing Detection Based on the Angular Velocity of Lower Limb Segments During Walking
Grimmer, M., Schmidt, K., Duarte, J. E., Neuner, L., Koginov, G., & Riener, R. (2019) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2019.00057 · Cited by 86 · see citing works
Self-citationNassour, J., Zhao, G., & Grimmer, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-91702-5 · Cited by 85 · see citing works
Self-citationDoppler Radar for the Extraction of Biomechanical Parameters in Gait Analysis
Seifert, A.-K., Grimmer, M., & Zoubir, A. M. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.2994471 · Cited by 82 · see citing works
Self-citationLaschowski, B., McNally, W., Wong, A. K. C., & McPhee, J. (2022) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2021.730965 · Cited by 82 · see citing works
Battisti, N. M. L., Mislang, A. R., Cooper, L., O'Donovan, A., Audisio, R. A., Cheung, K.-L., Sarrió, R. G., Stauder, R., Soto-Perez-de-Celis, E., Jaklitsch, M., et al. (2020) · Journal of Geriatric Oncology · doi:10.1016/j.jgo.2020.07.008 · Cited by 79 · see citing works
Optimizing exoskeleton assistance to improve walking speed and energy economy for older adults
Lakmazaheri, A., Song, S., Vuong, B. B., Biskner, B., Kado, D. M., & Collins, S. H. (2024) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-023-01287-5 · Cited by 75 · see citing works
Review of balance recovery in response to external perturbations during daily activities
Tokur, D. S., Grimmer, M., & Andre Seyfarth, A. (2019) · Human Movement Science · doi:10.1016/j.humov.2019.102546 · Cited by 66 · see citing works
Self-citationA Proprioceptive Bellows (PB) Actuator With Position Feedback and Force Estimation
Zhou, J., Chen, Y., Chen, X., Wang, Z., Li, Y., & Liu, Y. (2020) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.2969920 · Cited by 65 · see citing works
Enhancing Voluntary Motion With Modular, Backdrivable, Powered Hip and Knee Orthoses
Nesler, C., Thomas, G. C., Divekar, N., Rouse, E. J., & Gregg, R. D. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2022.3145580 · Cited by 62 · see citing works
Osteoarthritis, mobility-related comorbidities and mortality: an overview of meta-analyses
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Biarticular muscles in light of template models, experiments and robotics: a review
Schumacher, C., Sharbafi, M. A., Andre Seyfarth, A., & Rode, C. (2020) · Journal of The Royal Society Interface · doi:10.1098/rsif.2018.0413 · Cited by 57 · see citing works
Lower limb rehabilitation robotics: The current understanding and technology
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Grimmer, M., Elshamanhory, A., & Beckerle, P. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.00013 · Cited by 49 · see citing works
Self-citationda Silva, L. D., Shiel, A., & McIntosh, C. D. (2022) · Journal of Bodywork and Movement Therapies · doi:10.1016/j.jbmt.2022.02.020 · Cited by 42 · see citing works
Bio-Inspired Balance Control Assistance Can Reduce Metabolic Energy Consumption in Human Walking
Zhao, G., Sharbafi, M. A., Vlutters, M., van Asseldonk, E. H. F., & Andre Seyfarth, A. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2929544 · Cited by 40 · see citing works
Lencioni, T., Carpinella, I., Rabuffetti, M., Cattaneo, D., & Ferrarin, M. (2019) · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine · doi:10.1177/0954411919889237 · Cited by 38 · see citing works
Grimmer, M., Zeiss, J., Weigand, F., Zhao, G., Lamm, S., Steil, M. J., & Heller, A. (2020) · PLoS ONE · doi:10.1371/journal.pone.0239148 · Cited by 37 · see citing works
Self-citationRondão, C., Mota, M. P., Oliveira, M. M., Peixoto, F., & Esteves, D. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.950937 · Cited by 37 · see citing works
Park, H., Jung, W., Kim, S.-W., & Lim, K. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.706259 · Cited by 36 · see citing works
ExoNet Database: Wearable Camera Images of Human Locomotion Environments
Laschowski, B., McNally, W., Wong, A. K. C., & McPhee, J. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.562061 · Cited by 34 · see citing works
Srour, B., Kaaks, R., Johnson, T., Hynes, L. C., Kuhn, T. E., & Katzke, V. A. (2021) · European Journal of Epidemiology · doi:10.1007/s10654-021-00828-3 · Cited by 34 · see citing works
Laschowski, B., & McPhee, J. (2023) · Journal of Computational and Nonlinear Dynamics · doi:10.1115/1.4056919 · Cited by 33 · see citing works
From a biological template model to gait assistance with an exosuit
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Bustos, A. S. O., Belluscio, V., Camomilla, V., Lucangeli, L., Rizzo, F., Sciarra, T., Martelli, F., & Giacomozzi, C. (2021) · Sensors · doi:10.3390/s21072438 · Cited by 31 · see citing works
Trends in Telecare Use among Community-Dwelling Older Adults: A Scoping Review
Yaylagül, N. K., Kirisik, H., Bernardo, J., Dantas, C., van Staalduinen, W. H., Illario, M., Luca, V. D., Apóstolo, J., & da Silva, R. C. G. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192416672 · Cited by 30 · see citing works
Mian, S. H., Nasr, E. A., Moiduddin, K., Saleh, M., & Alkhalefah, H. (2024) · Polymers · doi:10.3390/polym16030403 · Cited by 28 · see citing works
Stair Recognition for Robotic Exoskeleton Control using Computer Vision and Deep Learning
Kurbis, A. G., Laschowski, B., & Mihailidis, A. (2022) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr55369.2022.9896501 · Cited by 27 · see citing works
Lu, V., Tennyson, M., Zhou, A., Patel, R., Fortune, M. D., Thahir, A., & Krkovič, M. (2022) · EFORT Open Reviews · doi:10.1530/eor-22-0017 · Cited by 26 · see citing works
Laic, R. A. G., Firouzi, M., Claeys, R., Bautmans, I., Swinnen, E., & Beckwée, D. (2024) · Sensors · doi:10.3390/s24072230 · Cited by 25 · see citing works
Assisted Walking Program on Walking Ability in In‐Hospital Geriatric Patients: A Randomized Trial
Gazineo, D., Godino, L., Decaro, R., Calogero, P., Pinto, D., Chiari, P., Zoli, M., & Ambrosi, E. (2020) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16922 · Cited by 25 · see citing works
Zhao, G., Grimmer, M., & Andre Seyfarth, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-01694-5 · Cited by 23 · see citing works
Self-citationDoes a Passive Unilateral Lower Limb Exoskeleton Affect Human Static and Dynamic Balance Control?
Ringhof, S., Patzer, I., Beil, J., Asfour, T., & Stein, T. (2019) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2019.00022 · Cited by 23 · see citing works
Neuromechanical force-based control of a powered prosthetic foot
Naseri, A., Grimmer, M., Andre Seyfarth, A., & Sharbafi, M. A. (2020) · Wearable Technologies · doi:10.1017/wtc.2020.6 · Cited by 22 · see citing works
Self-citationFurtado, G. E., Letieri, R. V., Caldo‐Silva, A., Trombeta, J. C. D. S., Monteiro, C. I., Rodrigues, R. N., Pedrosa, A., Barros, M. P., Cavaglieri, C. R., Hogervorst, E., et al. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.564490 · Cited by 25 · see citing works
Raitor, M., Ruggles, S. W., Delp, S. L., Liu, C. K., & Collins, S. H. (2024) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2024.3381979 · Cited by 22 · see citing works
Tissue-integrated bionic knee restores versatile legged movement after amputation
Shu, T., Levine, D., Yeon, S. H., Chun, E., Shallal, C., McCullough, J., Brånemark, R., Carty, M. J., Ferrone, M. L., Boerhout, S., et al. (2025) · Science · doi:10.1126/science.adv3223 · Cited by 21 · see citing works
Grimmer, M., Zeiss, J., Weigand, F., & Zhao, G. (2022) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2022.948093 · Cited by 21 · see citing works
Self-citationA Review of Gait Analysis Using Gyroscopes and Inertial Measurement Units
Lin, S., Evans, K. A., Hartley, D., Morrison, S., McDonald, S., Veidt, M., & Wang, G. (2025) · Sensors · doi:10.3390/s25113481 · Cited by 20 · see citing works
Kim, B., Youm, C., Park, H., Lee, M., & Noh, B. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18094704 · Cited by 19 · see citing works
Moon, S., Oh, E., Chung, D., & Hong, G. S. (2024) · PLoS ONE · doi:10.1371/journal.pone.0296796 · Cited by 19 · see citing works
Porras, D. C., Jacobs, J. V., Inzelberg, R., Bahat, Y., Zeilig, G., & Plotnik, M. (2021) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-021-00836-0 · Cited by 19 · see citing works
Force Myography for Motion Intention Detection Based on 3D-Printed Piezoelectric Sensors
Schaumann, S., Latsch, B., Schäfer, N., Dali, O. B., Seiler, J., Raynaud, J., Grimmer, M., Flor, H., Beckerle, P., & Kupnik, M. (2024) · IEEE Sensors Letters · doi:10.1109/lsens.2024.3417278 · Cited by 18 · see citing works
Self-citationGrimmer, M., Zeiss, J., Weigand, F., & Zhao, G. (2023) · PLoS ONE · doi:10.1371/journal.pone.0294161 · Cited by 17 · see citing works
Self-citationCarral, M. D. R., Bourqui, V., Vuilleumier, N., Ortieb, A., & Bouri, M. (2021) · International Journal of Social Robotics · doi:10.1007/s12369-021-00810-9 · Cited by 17 · see citing works
Manzoori, A. R., Malatesta, D., Mortier, A., Garcia, J., Ijspeert, A. J., & Bouri, M. (2025) · Scientific Reports · doi:10.1038/s41598-024-84253-y · Cited by 16 · see citing works
Ferreira, S. D. P., Raimundo, A. M. D. M., del Pozo-Cruz, J., & Marmeleira, J. (2021) · Experimental Gerontology · doi:10.1016/j.exger.2021.111271 · Cited by 15 · see citing works
Casas, J., Chang, C.-H., & Duenas, V. H. (2023) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2023.3305913 · Cited by 15 · see citing works
Development and Mobile Deployment of a Stair Recognition System for Human–Robot Locomotion
Kurbis, A. G., Mihailidis, A., & Laschowski, B. (2024) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2024.3349602 · Cited by 15 · see citing works
Buitrago-Restrepo, C. M., Villada, F. A. P., & Arango-Paternina, C. M. (2024) · Journal of Aging and Physical Activity · doi:10.1123/japa.2023-0192 · Cited by 14 · see citing works
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Preliminary Biomechanical Evaluation of a Novel Exoskeleton Robotic System to Assist Stair Climbing
Böhme, M., Köhler, H.-P., Thiel, R., Jäkel, J., Zentner, J., & Witt, M. (2022) · Applied Sciences · doi:10.3390/app12178835 · Cited by 13 · see citing works
Weigand, F., Höhl, A., Zeiss, J., Konigorski, U., & Grimmer, M. (2022) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros47612.2022.9981154 · Cited by 13 · see citing works
Self-citationAutomated vehicles for older adults with cognitive impairment: a survey study
Park, J., Zahabi, M., Zheng, X., Ory, M. G., Benden, M. E., McDonald, A. D., & Li, W. (2024) · Ergonomics · doi:10.1080/00140139.2024.2302020 · Cited by 13 · see citing works
Zhang, Q., Si, J., Tu, X., Li, M., Lewek, M. D., & Huang, H. (2024) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2024.3454556 · Cited by 12 · see citing works
The role of lower limb exoskeletons in rehabilitation: a scoping review
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Pilates Reducing Falls Risk Factors in Healthy Older Adults: A Systematic Review and Meta-Analysis
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Interlimb coordination is not strictly controlled during walking
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Sequential Image Classification of Human-Robot Walking Environments Using Temporal Neural Networks
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Harnessing robot experimentation to optimize the regulatory framing of emerging robot technologies
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Handgrip strength in older adults with chronic diseases from 27 European countries and Israel
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Relationship between inspiratory muscle strength and balance in women: A cross-sectional study
Azevedo, I. G., da Câmara, S. M. A., Maciel, Á. C. C., Vieira, E. R., Espinoza, C. F. L., Pichún, S. M. M., Viana, E. D. S. R., & de Oliveira-Sousa, S. L. (2023) · PLoS ONE · doi:10.1371/journal.pone.0280465 · Cited by 10 · see citing works
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Human-Exoskeleton Interaction Force Estimation Based on Quasi-Direct Drive Actuators
Seiler, J., Schäfer, N., Zhao, G., Latsch, B., Grimmer, M., Beckerle, P., & Kupnik, M. (2024) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob60516.2024.10719722 · Cited by 9 · see citing works
Self-citationDeep learning for motion classification in ankle exoskeletons using surface EMG and IMU signals
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Exercise Physiology From 1980 to 2020: Application of the Natural Sciences
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Exo skeleton pertinence and control techniques: A state-of-the-art review
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Self-citationSiddiqui, H. U. R., Nawaz, S., Saeed, M. N., Saleem, A. A., Raza, M. A., Raza, A., Aslam, M. A., & Dudley, S. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.107205 · Cited by 8 · see citing works
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Change in physical and mental health due to aging: future perspective
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Problems and Design for a Cable-Driven Device for Elbow-Wrist Assistance
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An sEMG-Controlled Prosthetic Hand Featuring a Tiny CNN-Transformer Model and Force Feedback
Blade, S., Yao, Z., Hou, Y., Li, Y., Zhou, S., Wang, Y., & Liu, X. (2023) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas58349.2023.10389021 · Cited by 7 · see citing works
A Critical Review and Systematic Design Approach for Linkage-Based Gait Rehabilitation Devices
de Paiva, T. S., Gonçalves, R. S., & Carbone, G. (2024) · Robotics · doi:10.3390/robotics13010011 · Cited by 7 · see citing works
Grimmer, M., Riener, R., Walsh, C. J., & Andre Seyfarth, A. (2020) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-020-0648-z · Cited by 7 · see citing works
Self-citationMallah, J., Kazieczko, D., Zhu, Y., VIRK, G. S., Muscato, G., Bai, S., & Occhipinti, L. G. (2025) · IEEE Sensors Reviews · doi:10.1109/sr.2025.3588140 · Cited by 6 · see citing works
Risso, G., Bieri, M., Bertoni, T., Martinelli, I., Mastria, G., Catinari, L., Allet, L., Serino, A., & Bassolino, M. (2025) · iScience · doi:10.1016/j.isci.2025.113481 · Cited by 6 · see citing works
Hip Exoskeleton for Cycling Assistance
Grimmer, M., & Zhao, G. (2024) · Bioengineering · doi:10.3390/bioengineering11070683 · Cited by 6 · see citing works
Self-citationThe mechanical energetics of walking across the adult lifespan
Liew, B. X. W., Rügamer, D., Duffy, K. R., Taylor, M. J. D., & Jackson, J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0259817 · Cited by 6 · see citing works
Lee, H., & Lee, S. H. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18147632 · Cited by 6 · see citing works
Wang, F. “., Qin, W., & Yu, J. (2021) · The International Journal of Aging and Human Development · doi:10.1177/00914150211037657 · Cited by 6 · see citing works
A Kalman Filter based Approach for Markerless Pose Tracking and Assessment
Zhu, X., Boukhennoufa, I., Liew, B. X. W., McDonald-Maier, K. D., & Zhai, X. (2022) · International Conference on Automation and Computing (ICAC) · doi:10.1109/icac55051.2022.9911152 · Cited by 6 · see citing works
Laschowski, B., Razavian, R. S., & McPhee, J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/801258 · Cited by 6 · see citing works
- Authors
- Grimmer, M., Riener, R., Walsh, C. J., & Seyfarth, A.
- Affiliations
- Technische Universität Darmstadt (DE)
- ETH Zurich (CH)
- Harvard University (US)
- Corresponding author
- Grimmer, Martin
- Venue
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2019-01-03
- Volume
- 16
- Issue
- 1
- Pages
- 2-2
- ISSN
- 1743-0003 (ISSN-L)
- PMC
- PMC6318939
- OpenAlex
- W2945684207
- Cited by
- 249
- References
- 206
- Citations by year
- 2026: 33 · 2025: 61 · 2024: 43 · 2023: 25 · 2022: 30 · 2021: 35 · 2020: 14 · 2019: 8
- FWCI
- 1.75
- Type
- journal article
- Language
- en
- Update notices
- correction (2020-02-19)
- Open access
- gold
- doi.org
- Locations
- Journal of NeuroEngineering and Rehabilitation (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Technischen Universität Darmstadt (acceptedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- TUbilio (Technical University of Darmstadt) (submittedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by)
- Technischen Universität Darmstadt (cc-by)
- ETH Zürich Research Collection (cc-by)
- Funders
- H2020 European Research Council (601003)
- Robert Bosch Stiftung (32.5.G412.0003.0)
- Deutsche Forschungsgemeinschaft (GR 4689/2-1)
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Keywords
- aging, mobility loss, lower limb exoskeleton, assistive devices, VO2max, reaction time, sensory impairment, falls, walking speed, gait, cardiovascular disease, musculoskeletal disorders, neurological disorders, respiratory diseases, functional compensation, mobility training
- MeSH terms
- Exoskeleton Device, Adult, Aged, Aged, 80 and over, Aging, Cardiovascular Diseases, Female, Humans, Lung Diseases, Male, Middle Aged, Motor Activity, Neuromuscular Diseases, Quality of Life, Lower Extremity, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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