The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
On-Shoe Wearable Sensors for Gait and Turning Assessment of Patients With Parkinson's Disease
Open accessAbstract
Assessment of locomotion through simple tests such as timed up and go (TUG) or walking trials can provide valuable information for the evaluation of treatment and the early diagnosis of people with Parkinson's disease (PD). Common methods used in clinics are either based on complex motion laboratory settings or simple timing outcomes using stop watches. The goal of this paper is to present an innovative technology based on wearable sensors on-shoe and processing algorithm, which provides outcome measures characterizing PD motor symptoms during TUG and gait tests. Our results on ten PD patients and ten age-matched elderly subjects indicate an accuracy ± precision of 2.8 ± 2.4 cm/s and 1.3 ± 3.0 cm for stride velocity and stride length estimation compared to optical motion capture, with the advantage of being practical to use in home or clinics without any discomfort for the subject. In addition, the use of novel spatio-temporal parameters, including turning, swing width, path length, and their intercycle variability, was also validated and showed interesting tendencies for discriminating patients in ON and OFF states and control subjects.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Unified Parkinson's Disease Rating Scale
(2012) · SpringerReference · doi:10.1007/springerreference_184495 · Cited by 3,066
Meaningful change and responsiveness in common physical performance measures in older adults.
Perera, S., Mody, S. H., Woodman, R. C., & Studenski, S. A. (2006) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2006.00701.x · Cited by 2,513
Hausdorff, J. M., Cudkowicz, M. E., Firtion, R., Wei, J. Y., & Goldberger, A. L. (1998) · Movement Disorders · doi:10.1002/mds.870130310 · Cited by 903
Reliability of Measurements Obtained With the Timed “Up & Go” Test in People With Parkinson Disease
Morris, S., Morris, M. E., & Iansek, R. (2001) · Physical Therapy · doi:10.1093/ptj/81.2.810 · Cited by 664
Gait Assessment in Parkinson's Disease: Toward an Ambulatory System for Long-Term Monitoring
Salarian, A., Russmann, H., Vingerhoets, F. J. G., Dehollain, C., Blanc, Y., Burkhard, P. R., & Aminian, K. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.827933 · Cited by 659
Self-citationiTUG, a Sensitive and Reliable Measure of Mobility
Salarian, A., Horak, F. B., Zampieri, C., Carlson-Kuhta, P., Nutt, J. G., & Aminian, K. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2010.2047606 · Cited by 489
Self-citationEffects of deep brain stimulation and levodopa on postural sway in Parkinson's disease
Rocchi, L. (2002) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.73.3.267 · Cited by 389
3D gait assessment in young and elderly subjects using foot-worn inertial sensors
Mariani, B., Hoskovec, C., Rochat, S., Büla, C., Penders, J., & Aminian, K. (2010) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2010.07.003 · Cited by 370
Self-citationUnified Parkinson’s Disease Rating Scale
Fish, J. (2011) · Encyclopedia of Clinical Neuropsychology · doi:10.1007/978-0-387-79948-3_1836 · Cited by 297
Cited by
Wearable Sensors for Human Activity Monitoring: A Review
Mukhopadhyay, S. C. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2014.2370945 · Cited by 1,401
Technology in Parkinson’s disease: challenges and opportunities
Espay, A. J., Bonato, P., Nahab, F. B., Maetzler, W., Dean, J. M., Klucken, J., Eskofier, B. M., Merola, A., Horak, F., Lang, A. E., et al. (2016) · Movement Disorders · doi:10.1002/mds.26642 · Cited by 654
How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review
Rovini, E., Maremmani, C., & Cavallo, F. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00555 · Cited by 426
Wenger, N., Moraud, E. M., Gandar, J., Musienko, P., Capogrosso, M., Baud, L., Le Goff, C. G., Barraud, Q., Pavlova, N., Dominici, N., et al. (2016) · Nature Medicine · doi:10.1038/nm.4025 · Cited by 369
Continuous Monitoring of Turning in Patients with Movement Disability
El-Gohary, M., Pearson, S., McNames, J., Mancini, M., Horak, F., Mellone, S., & Chiari, L. (2013) · Sensors · doi:10.3390/s140100356 · Cited by 258
Metadata
- Authors
- Mariani, B., Jiménez, M. C., Vingerhoets, F. J. G., & Aminian, K.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2013-01
- Volume
- 60
- Issue
- 1
- Pages
- 155-158
- ISSN
- 0018-9294 (ISSN-L)
- 1558-2531
- OpenAlex
- W2058190976
- Cited by
- 278
- References
- 14
- FWCI
- 43.31
- Type
- journal article
- Language
- en
- Open access
- green
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: On-Shoe Wearable Sensors for Gait and Turning Assessment of Patients With Parkinson's Disease. https://app.cochat.ai/papers/10.1109/tbme.2012.2227317
- The paper
- Mariani, B., Jiménez, M. C., Vingerhoets, F. J. G., & Aminian, K. (2013). On-Shoe Wearable Sensors for Gait and Turning Assessment of Patients With Parkinson's Disease. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/tbme.2012.2227317
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
