The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Gait Analysis Using Wearable Sensors
Open accessAbstract
Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of providing useful information for multiple health-related applications. As a clinical tool applied in the rehabilitation and diagnosis of medical conditions and sport activities, gait analysis using wearable sensors shows great prospects. The current paper reviews available wearable sensors and ambulatory gait analysis methods based on the various wearable sensors. After an introduction of the gait phases, the principles and features of wearable sensors used in gait analysis are provided. The gait analysis methods based on wearable sensors is divided into gait kinematics, gait kinetics, and electromyography. Studies on the current methods are reviewed, and applications in sports, rehabilitation, and clinical diagnosis are summarized separately. With the development of sensor technology and the analysis method, gait analysis using wearable sensors is expected to play an increasingly important role in clinical applications.
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Citations
Cites
Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom
Bachlin, M., Plotnik, M., Roggen, D., Maidan, I., Hausdorff, J. M., Giladi, N., & Troster, G. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2036165 · Cited by 693
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Ambulatory monitoring of freezing of gait in Parkinson’s disease
Moore, S. T., MacDougall, H. G., & Ondo, W. G. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.08.023 · Cited by 526
Wearable sensors/systems and their impact on biomedical engineering
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“force sensors, strain gauges, inclinometers, goniometers, and so on, can measure various characteristics of the human gait [20,21].”
BackgroundPatient specific ankle-foot orthoses using rapid prototyping
Mavroidis, C., Ranky, R. G., Sivak, M. L., Patritti, B. L., DiPisa, J., Caddle, A., Gilhooly, K., Govoni, L., Sivak, S., Lancia, M., et al. (2011) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-8-1 · Cited by 361
Ambulatory monitoring of physical activities in patients with Parkinson’s disease
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Cited by
Bio-Integrated Wearable Systems: A Comprehensive Review
Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L., Ghaffari, R., & Rogers, J. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00573 · Cited by 1,350
Keeping a Good Attitude: A Quaternion-Based Orientation Filter for IMUs and MARGs
Valenti, R., Dryanovski, I., & Xiao, J. (2015) · Sensors · doi:10.3390/s150819302 · Cited by 357
Recent Advances in Wearable Sensors for Health Monitoring
Rodgers, M. M., Pai, V. M., & Conroy, R. S. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2014.2357257 · Cited by 325
Pasluosta, C. F., Gassner, H., Winkler, J., Klucken, J., & Eskofier, B. M. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2461555 · Cited by 323
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
- Tao, W., Liu, T., Zheng, R., & Feng, H.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2012-02-16
- Volume
- 12
- Issue
- 2
- Pages
- 2255-2283
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2158764002
- Cited by
- 1,165
- References
- 6
- FWCI
- 23.19
- Type
- journal article
- Language
- en
- Open access
- gold
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