The DOI matches its Crossref record; 47 of the 48 references it cites were found in a registry or an index.
ISway: a sensitive, valid and reliable measure of postural control
Open accessAbstract
BACKGROUND: Clinicians need a practical, objective test of postural control that is sensitive to mild neurological disease, shows experimental and clinical validity, and has good test-retest reliability. We developed an instrumented test of postural sway (ISway) using a body-worn accelerometer to offer an objective and practical measure of postural control. METHODS: We conducted two separate studies with two groups of subjects. Study I: sensitivity and experimental concurrent validity. Thirteen subjects with early, untreated Parkinson's disease (PD) and 12 age-matched control subjects (CTR) were tested in the laboratory, to compare sway from force-plate COP and inertial sensors. Study II: test-retest reliability and clinical concurrent validity. A different set of 17 early-to-moderate, treated PD (tested ON medication), and 17 age-matched CTR subjects were tested in the clinic to compare clinical balance tests with sway from inertial sensors. For reliability, the sensor was removed, subjects rested for 30 min, and the protocol was repeated. Thirteen sway measures (7 time-domain, 5 frequency-domain measures, and JERK) were computed from the 2D time series acceleration (ACC) data to determine the best metrics for a clinical balance test. RESULTS: Both center of pressure (COP) and ACC measures differentiated sway between CTR and untreated PD. JERK and time-domain measures showed the best test-retest reliability (JERK ICC was 0.86 in PD and 0.87 in CTR; time-domain measures ICC ranged from 0.55 to 0.84 in PD and from 0.60 to 0.89 in CTR). JERK, all but one time-domain measure, and one frequency measure were significantly correlated with the clinical postural stability score (r ranged from 0.50 to 0.63, 0.01 < p < 0.05). CONCLUSIONS: Based on these results, we recommend a subset of the most sensitive, reliable, and valid ISway measures to characterize posture control in PD: 1) JERK, 2) RMS amplitude and mean velocity from the time-domain measures, and 3) centroidal frequency as the best frequency measure, as valid and reliable measures of balance control from ISway.
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
Figures
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In addition, good agreement was found between sway and spatiotemporal gait measures from wearables and other established technologies [23, 31, 32].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [23]
Experimental — accuracy not yet measuredIn the citing paper
“In PD, wearables were used to detect and quantify cardinal motor symptoms including bradykinesia [19], tremor [20, 21], and postural sway [22, 23] as well as medication-evoked adverse symptoms such as dyskinesia [24–27] and motor fluctuations [28, 29].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [23]
In the citing paper
“Postural sway measures derived from wearables have been examined for test–retest reliability (ICC 0.55–0.86) [23] and the mediolateral sway and jerk were shown to be sensitive to detect progression of postural instability in PD over time [22].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [23]
In the citing paper
“For example, the postural sway measures in PD have been shown to be reliable and sensitive to longitudinal changes in laboratory settings [22, 23].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [23]
In the citing paper
“Predominantly acceleration signals were used in hospital and free-living settings, even though gyroscope signals have shown promise for increasing the sensitivity and specificity when measuring dyskinesia and postural instability in laboratory settings [23–26].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [23]
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
Forming inferences about some intraclass correlation coefficients.
McGraw, K. O., & Wong, S. P. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.1.30 · Cited by 6,903
Human balance and posture control during standing and walking
Winter, D. (1995) · Gait & Posture · doi:10.1016/0966-6362(96)82849-9 · Cited by 3,638
Unified Parkinson's Disease Rating Scale
(2012) · Springer eBooks · doi:10.1007/springerreference_184495 · Cited by 3,071
Sensorimotor Integration in Human Postural Control
Peterka, R. J. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.88.3.1097 · Cited by 2,425
Recent developments in Parkinson's disease
Fahn, S., Elton, R., MARSDEN, C. D., Calne, D. B., & Goldstein, M. (1986) · Raven Press eBooks · Cited by 2,306
Members of the UPDRS Development Committee. Unified Parkinson's Disease Rating Scale
Fahn, S. (1987) · Medical Entomology and Zoology · Cited by 2,163
Measures of postural steadiness: differences between healthy young and elderly adults
Prieto, T. E., Myklebust, J. B., Hoffmann, R. G., Lovett, E. G., & Myklebust, B. M. (1996) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.532130 · Cited by 1,872
The Balance Evaluation Systems Test (BESTest) to Differentiate Balance Deficits
Horak, F. B., Wrisley, D. M., & Frank, J. (2009) · Physical Therapy · doi:10.2522/ptj.20080071 · Cited by 1,062
Self-citationPostural stability in the elderly: a comparison between fallers and non-fallers
Melzer, I. (2004) · Age and Ageing · doi:10.1093/ageing/afh218 · Cited by 736
The relevance of clinical balance assessment tools to differentiate balance deficits.
Mancini, M., & Horak, F. B. (2010) · PubMed · Cited by 695
Self-citation
Cited by
Sorted by citations
Items 301–400 of 499
Sensory integration and segmental control of posture during pregnancy
Dumke, B. R., Theilen, L. H., Shaw, J. M., Foreman, K. B., Dibble, L. E., & Fino, P. C. (2024) · Clinical Biomechanics · doi:10.1016/j.clinbiomech.2024.106264 · Cited by 5
Martiš, P., Bzdúšková, D., Košutzká, Z., Slobodová, L., Straka, I., Malenovská, K. M., Mytiai, O., Tirpáková, V., Konrády, P., Litváková, V., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-07009-2 · Cited by 5
Lapointe, A. P., Ritchie, J. N., Vitali, R. V., Burma, J. S., Soroush, A., Oni, I. K., & Dunn, J. F. (2021) · Sensors · doi:10.3390/s21134492 · Cited by 5
Modulating Cognitive–Motor Multitasking with Commercial-off-the-Shelf Non-Invasive Brain Stimulation
Ward, N., Hussey, E. K., Wooten, T., Marfeo, E. E., & Brunyé, T. T. (2022) · Brain Sciences · doi:10.3390/brainsci12020180 · Cited by 5
Özkan, E., Özler, C., Akar, K., Youssef, H., Özmen, K. K., Şen, Z. D., Vural, A., & Özdemir, Y. (2023) · Scientific Reports · doi:10.1038/s41598-023-39253-9 · Cited by 6
Effects of flooring on static and dynamic balance in young and older adults
Cleworth, T. W., Tondat, A. M., Goomer, K., Kalra, M., & Laing, A. C. (2023) · Gait & Posture · doi:10.1016/j.gaitpost.2023.09.004 · Cited by 5
Assessing Free-Living Postural Sway in Persons With Multiple Sclerosis
Meyer, B. M., Cohen, J. G., DePetrillo, P., Ceruolo, M., Jangraw, D. C., Cheney, N., Solomon, A. J., & McGinnis, R. S. (2024) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2024.3366903 · Cited by 5
Impaired Standing Balance in Older Adults with Cognitive Impairment after a Severe Fall
Schmidt, L., Zieschang, T., Koschate, J., & Stuckenschneider, T. (2024) · Gerontology · doi:10.1159/000538598 · Cited by 7
Towards Pervasive Mobility Assessments in Clinical and Domestic Environments
Isken, M., Frenken, T., Frenken, M., & Hein, A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16226-3_4 · Cited by 5
Arpan, I., Fling, B. W., Powers, K., Horak, F. B., & Spain, R. (2019) · International Journal of MS Care · doi:10.7224/1537-2073.2019-004 · Cited by 5
Self-citationZhou, J., Yu, W., Zhu, H., Lo, O., Gouskova, N., Travison, T. G., Lipsitz, L. A., Pascual‐Leone, Á., & Manor, B. D. (2021) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom49281.2021.9398972 · Cited by 5
Braun, T., Wiegard, A., Geritz, J., Hansen, C., Tan, K. E., Hildesheim, H., Kudelka, J., Maetzler, C., Welzel, J., Romijnders, R., et al. (2022) · PubMed Central · doi:10.11909/j.issn.1671-5411.2022.09.010 · Cited by 5
Postural instructions affect postural sway in young adults
Cohen, R. G., & Hocketstaller, J. (2022) · Gait & Posture · doi:10.1016/j.gaitpost.2022.12.016 · Cited by 5
Engineering Human Gait and the Potential Role of Wearable Sensors to Monitor Falls
Sejdić, E., Godfrey, A., McIlroy, W. E., & Montero‐Odasso, M. (2019) · Springer eBooks · doi:10.1007/978-3-030-24233-6_22 · Cited by 5
Pourghayoomi, E., Negahdar, F., Shahidi, G. A., Mehraban, A. H., Ebrahimi, E., Taghizade, G., Mirshoja, M. S., & Borujeni, M. S. (2014) · Cited by 5
Potential for using Smartphone Accelerometers in Non-laboratory Environments
Soangra, R., Lockhart, T. E., Frames, C. W., Zhang, J., Moon, S. H., & Park, J. (2014) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931214581349 · Cited by 5
Carmona-Pérez, C., Pérez-Ruiz, A., Garrido-Castro, J. L., Vidal, F. T., Alcaraz-Clariana, S., García-Luque, L., Rodrigues‐de‐Souza, D. P., & Alburquerque‐Sendín, F. (2020) · Diagnostics · doi:10.3390/diagnostics10090661 · Cited by 5
Kirk, C., Rehman, R. Z. U., Galna, B., Ranciati, S., Packer, E., Ireson, N., Lanfranchi, V., Mazzà, C., Alcock, L., Rochester, L., et al. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1746429 · Cited by 5
Standing Balance Conditions and Digital Sway Measures for Clinical Trials of Friedreich's Ataxia
Casey, H. L., Shah, V. V., Muzyka, D., McNames, J., El‐Gohary, M., Sowalsky, K. L., Safarpour, D., Carlson‐Kuhta, P., Schmahmann, J. D., Rosenthal, L. S., et al. (2024) · Movement Disorders · doi:10.1002/mds.29777 · Cited by 4
Self-citationNam, S.-H., & Kim, K.-M. (2025) · Exercise Science · doi:10.15857/ksep.2025.00248 · Cited by 4
Waveform skewness: Parameter for timed Up & Go turn assessment
Vítečková, S., Krupička, R., Čejka, V., Kutílek, P., Szabo, Z., Růžička, E., & Dušek, P. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.04.035 · Cited by 4
Emmanouil, A. A., Rousanoglou, E. N., Georgaki, A., & Boudolos, K. D. (2021) · Digital Biomarkers · doi:10.1159/000514325 · Cited by 4
DeCouto, B. S., WILLIAMS, A. M., Lohse, K. R., Creem-Regehr, S. H., Strayer, D. L., & Fino, P. C. (2021) · Experimental Brain Research · doi:10.1007/s00221-021-06104-w · Cited by 4
Kim, H., Park, C., & You, J. H. (2022) · Neurorehabilitation · doi:10.3233/nre-210331 · Cited by 4
SISTINE 2.0: Sensorized Socks for Postural Telemonitoring
Lucangeli, L., D’Angelantonio, E., Camomilla, V., & Pallotti, A. (2022) · IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) · doi:10.1109/metroind4.0iot54413.2022.9831630 · Cited by 4
Feature reduction for classification of daily activities through kinematic data from smartphones
Wan, Y., & Dong, Z. (2017) · Smart Health · doi:10.1016/j.smhl.2017.10.001 · Cited by 4
Effects of the Shape of the Base of Support and Dual Task Execution on Postural Control
Lee, Y., & Shin, S. (2019) · The Asian Journal of Kinesiology · doi:10.15758/ajk.2019.21.1.14 · Cited by 4
Pino‐Ortega, J., Hernández‐Belmonte, A., Gómez‐Carmona, C. D., Bastida‐Castillo, A., García-Rubio, J., & Ibáñez, S. J. (2019) · Journal of Sport Rehabilitation · doi:10.1123/jsr.2018-0399 · Cited by 4
Miller, K. T., Russell, M., Jenks, T., Surratt, K., Poretti, K., Eigenbrot, S., Akins, J. S., & Major, M. J. (2020) · JPO Journal of Prosthetics and Orthotics · doi:10.1097/jpo.0000000000000332 · Cited by 4
The Foulage Test: Proof of Concept of a Novel Stepping Test Using a Stabilometer
Miwa, T., Yasuda, T., Sunami, K., Kunihiro, T., & Yasuda, K. (2022) · Cureus · doi:10.7759/cureus.24763 · Cited by 4
APDM gait and balance measures fail to predict symptom progression rate in Parkinson's disease
Dewey, D. C., Chitnis, S., McCreary, M., Gerald, A., Dewey, C., Pantelyat, A. Y., Dawson, T. M., Rosenthal, L. S., & Dewey, R. B. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.1041014 · Cited by 4
Villegas, C. M., Littin, J., Aqueveque, D. C., Guerrero‐Henriquez, J., & Matamala, M. V. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106302 · Cited by 5
A study on balance assessment according to the levels of difficulty in postural control
Kang, D., Seo, J.-W., Kim, D., Yang, S.-T., Choi, J., & Tack, G. (2016) · Journal of Physical Therapy Science · doi:10.1589/jpts.28.1832 · Cited by 4
Fall- and BBS-related differences in muscle strength and postural balance of the elderly
Choi, J., Kang, D., Seo, J.-W., Kim, D., Yang, S.-T., & Tack, G. (2016) · Journal of Physical Therapy Science · doi:10.1589/jpts.28.2629 · Cited by 4
Röhling, H. M., Althoff, P., Arsenova, R., Drebinger, D. A., Gigengack, N., Chorschew, A., Kroneberg, D., Rönnefarth, M., Ellermeyer, T., Rosenkranz, S. C., et al. (2021) · JMIR Human Factors · doi:10.2196/26825 · Cited by 4
Stafford, N. E., Gonzalez, E. B., & Ferris, D. P. (2024) · JPO Journal of Prosthetics and Orthotics · doi:10.1097/jpo.0000000000000533 · Cited by 3
Himmelmann, L., Zieschang, T., Speckmann, E.-M., Schmidt, N. M., & Stuckenschneider, T. (2025) · Gerontology · doi:10.1159/000549207 · Cited by 3
Validity and Reliability of an Integrated Smartphone Measurement Approach for Balance
Prato, T. A., Lynall, R. C., Howell, D. R., & Lugade, V. A. (2024) · Journal of Sport Rehabilitation · doi:10.1123/jsr.2024-0072 · Cited by 3
Cheng, Y., Wu, D., Wu, Y., Guo, Y., Cui, X., Zhang, P., Gao, J., Fu, Y., & Wang, X. (2025) · PLoS ONE · doi:10.1371/journal.pone.0315454 · Cited by 3
Audisio, A., Fortunato, D., Tasca, P., Caruso, M., & Cereatti, A. (2025) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2025.112711 · Cited by 3
Chen, A., Selvaraj, S., Krishnan, V., & Asgari, S. (2019) · Journal of Applied Biomechanics · doi:10.1123/jab.2018-0431 · Cited by 3
On the EDGE of Task Force Recommendations: Computerized Balance Assessment
Croarkin, E., & Zampieri, C. (2020) · Rehabilitation Oncology · doi:10.1097/01.reo.0000000000000246 · Cited by 3
Self-citationEvaluation of a new assistive technology: the StandBar
Barrett, B., Phillips, S. L., Bulat, T., Lind, J. D., Ballistrea, L. M., Ramrattan, A., Friedman, Y., & Cowan, L. J. (2022) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2022.2115565 · Cited by 3
Blok, J., Poggensee, K. L., Lemus, D., Kok, M., Pangalila, R. F., Vallery, H., Deferme, J., Toussaint‐Duyster, L. C. C., & Horemans, H. L. D. (2022) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr55369.2022.9896546 · Cited by 3
Shannon, C., Havey, E., Cohen, R. G., & Vasavada, A. N. (2023) · Applied Ergonomics · doi:10.1016/j.apergo.2023.104098 · Cited by 3
Timm, E. C., Purcell, N. L., Ouyang, B., Berry‐Kravis, E., Hall, D. A., & O’Keefe, J. A. (2024) · Sensors · doi:10.3390/s24082586 · Cited by 3
Valenciano, P. J., Monteiro, P. H. M., Lazzaro, I. M., da Silva, F. J. M. H., Silva, F. H., Mizrahi, S. E., Guimarães, C. P., & Teixeira, L. A. (2024) · Gait & Posture · doi:10.1016/j.gaitpost.2024.04.004 · Cited by 3
Maeda, H., Shogenji, M., & Watanabe, T. (2017) · Journal of Robotics and Mechatronics · doi:10.20965/jrm.2017.p0288 · Cited by 3
Local Assessment of Statokinesigram Dynamics in Time: An in-Depth Look at the Scoring Algorithm
Bargiotas, I., Audiffren, J., Vayatis, N., Vidal, P., Yelnik, A. P., & Ricard, D. (2019) · Image Processing On Line · doi:10.5201/ipol.2019.251 · Cited by 3
Instrumented and Standard Measures of Physical Performance in Adults With Chronic Kidney Disease
Johnstone, L. M., Roshanravan, B., Rundell, S. D., Kestenbaum, B. R., Baker, S. F., Berry, D. L., & McGough, E. L. (2021) · Journal of Acute Care Physical Therapy · doi:10.1097/jat.0000000000000179 · Cited by 3
Human balance ability assessment through Pneumatic Gel Muscle (PGM)-based Augmentation
Ramasamy, P., Hamada, M., Das, S., & Kurita, Y. (2022) · Augmented Humans International Conference (AHs) · doi:10.1145/3519391.3519407 · Cited by 3
Caña-Pino, A., Apolo-Arenas, M. D., Moral-Blanco, J., Diego, J. Á.-D., & Gutiérrez, C. F. (2015) · Fisioterapia · doi:10.1016/j.ft.2014.12.004 · Cited by 3
Cholinergic Pathway SNPs and Postural Control in 477 Older Adults
Arnold, C., Schulte, C., Moscovich, M., Sünkel, U., Zaunbrecher, L., Metzger, F. G., Gasser, T., Eschweiler, G. W., Hauser, A., Berg, D., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00260 · Cited by 3
The Quantification of Hop Landing Balance Using Trunk-Mounted Accelerometry
Williams, J. M., Gara, M. N., & Clark, C. (2019) · Journal of Sport Rehabilitation · doi:10.1123/jsr.2018-0384 · Cited by 3
Standing Balance Assessment by Measurement of Body Center of Gravity Using Smartphones
Lattanzi, E., Freschi, V., Delpriori, S., Klopfenstein, L. C., & Bogliolo, A. (2020) · IEEE Access · doi:10.1109/access.2020.2996251 · Cited by 3
The effect of shoe cushioning on gait and balance in females with multiple sclerosis
Monaghan, A. S., Monaghan, P. G., Richmond, S. B., Roper, J. A., & Fling, B. W. (2021) · Experimental Brain Research · doi:10.1007/s00221-021-06161-1 · Cited by 3
Telles, G. F., Ferreira, A. D. S., Pena, P. M., Lemos, T., Bittencourt, J. V., & Nogueira, L. A. C. (2022) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2022.2043947 · Cited by 3
Šeketa, G., Ortiz, G., Wilches, C., Perdómo, O., Celić, L., Lacković, I., Zequera, M. L., & Magjarević, R. (2014) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-319-11128-5_91 · Cited by 3
A Video-Based Method for Objectively Rating AtaxiaPreprint
Jaroensri, R., Zhao, A. T., Balakrishnan, G., Lo, D., Schmahmann, J. D., Guttag, J. V., & Durand, F. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1612.04007 · Cited by 3
Averill, J. L. (2023) · ScholarWorks@UMassAmherst (University of Massachusetts Amherst) · doi:10.7275/4526194 · Cited by 3
Butowicz, C. M., Yoder, A. J., Hendershot, B. D., Mazzone, B. N., & Farrokhi, S. (2023) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2023.111768 · Cited by 2
Büttiker, J., Marks, D., Hanke, M., Ludyga, S., Marsico, P., Eggimann, B., & Giannouli, E. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1402145 · Cited by 2
Levodopa-induced dyskinesia alters postural control in people with Parkinson’s disease
Aderonmu, J. A., & Curtze, C. (2024) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2024.112421 · Cited by 2
Krasnow, S. M., Rubin, C. T., Roeland, E. J., Horak, F. B., Stoyles, S. A., Dieckmann, N. F., Braun, K., & Winters‐Stone, K. M. (2025) · JCO Oncology Practice · doi:10.1200/op-24-00961 · Cited by 2
Self-citationPicerno, P., Iuliano, E., Bravi, M., Santacaterina, F., García‐Ramos, A., Pešović, U., Martínez-Méndez, R., & Vieira, T. (2025) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2025.113064 · Cited by 2
Kotolova, V., Kutílek, P., Vítečková, S., Palicka, J., Svoboda, Z., Křivánek, V., Doskočil, R., & Štefek, A. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-65960-2_3 · Cited by 2
Performance Analysis of a Postural Balance Assessment Mat Prototype Using Inertial Sensor
Ghahramani, M., Hosseini, I., & Herath, D. C. (2022) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/sensors52175.2022.9967035 · Cited by 2
Center of mass-based posturography for free living environment applications
Romanato, M., Guiotto, A., Volpe, D., & SAWACHA, Z. (2023) · Clinical Biomechanics · doi:10.1016/j.clinbiomech.2023.105950 · Cited by 2
Postural Stability Romberg’s Test in 3D Using an Inertial Sensor in Healthy Adults
Skvortsov, D. V., & Painev, N. (2023) · Symmetry · doi:10.3390/sym15051125 · Cited by 2
Petersell, T. L., Quammen, D. L., Crofts, R., Morris, A. J., Fino, N. F., Jensen, C. B., Hollien, A., Pelo, R. M., Roemmich, B. J., Dibble, L. E., et al. (2023) · Journal of Athletic Training · doi:10.4085/1062-6050-0403.23 · Cited by 2
Pennell, A., Fisher, J., Patey, M. J., Miedema, S. T., Stodden, D. F., Lieberman, L. J., Webster, C. A., & Brian, A. (2023) · Disability and Rehabilitation · doi:10.1080/09638288.2023.2288935 · Cited by 2
Wodarski, P., Jurkojć, J., Chmura, M., Warmerdam, E., Romijnders, R., Hobert, M. A., Maetzler, W., Cygoń, K., & Hansen, C. (2024) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-024-01411-z · Cited by 3
Is IMU- alternative to GRF-based posturography? A comparative assessment on young healthy adults
Bisi, M. C., & Stagni, R. (2025) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2025.112687 · Cited by 2
Sari, M. E., Komalasari, D. R., Wijianto, W., & Naufal, A. F. (2022) · Physio Journal · doi:10.30787/phyjou.v2i2.894 · Cited by 8
The application of accelerometers to measure movements of upper limbs: Pilot study
Kutílek, P., Volf, P., Černý, R., & Hejda, J. (2017) · Acta Gymnica · doi:10.5507/ag.2017.003 · Cited by 2
Assessment of Human Balance Due to Recoil Destabilization Using Smart Clothing
Scataglini, S., Truyen, E., Perego, P., Gallant, J., Tiggelen, D. V., & Andreoni, G. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-60825-9_20 · Cited by 2
Mercuris, K., Lowry, K. A., & Espey, S. (2020) · Journal of Community Health Nursing · doi:10.1080/07370016.2019.1693136 · Cited by 2
Instrumenting traditional approaches to physical assessment
Powell, D., Çelik, Y., Trojaniello, D., Young, F., Moore, J., Stuart, S., & Godfrey, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818914-6.00005-3 · Cited by 2
Cesarelli, G., Donisi, L., Coccia, A., Amitrano, F., Biancardi, A., Lanzillo, B., & D’Addio, G. (2022) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea54994.2022.9856460 · Cited by 2
Effect of dance movement therapy on balance in adults with Down Syndrome. A pilot study
Aleksander-Szymanowicz, P., Filar‐Mierzwa, K., & Skiba, A. (2023) · Journal of Intellectual Disabilities · doi:10.1177/17446295231220429 · Cited by 2
Monaghan, P. G., Murrah, W. M., Walker, H. C., Neely, K. A., & Roper, J. A. (2024) · Sensors · doi:10.3390/s24072216 · Cited by 2
Kieffer, E. E. (2021) · VTechWorks (Virginia Tech) · Cited by 2
Application of the Stability Coefficient for Considering Intrinsic Variability of Postural Sway
Kang, D., Seo, J.-W., Kim, J., Lee, J., Choi, J., & Tack, G. (2019) · International Journal of Precision Engineering and Manufacturing · doi:10.1007/s12541-019-00024-0 · Cited by 1
Le, V. C., Jones, M. L. H., & Sienko, K. H. (2021) · Sensors · doi:10.3390/s21154997 · Cited by 1
The effects of errorless psychomotor training in the Y balance lower limb reaching task
Fan, M., & Wong, T. W. L. (2023) · Psychological Research · doi:10.1007/s00426-023-01831-x · Cited by 1
A Quantitative Kinematic Evaluation of Postural Response in Parkinson's Disease Subtypes
Calomino, C., Gramigna, V., Nisticò, R., Bianco, M. G., Crasà, M., Cristofaro, A., Sgrò, G., Quattrone, A., & Quattrone, A. (2023) · International Workshop on Biomedical Applications, Technologies and Sensors (BATS) · doi:10.1109/bats59463.2023.10303069 · Cited by 1
Assessing standing balance with MOTI: a validation study
Palsson, T. S., Gaardbo, M., Mikkelsen, C., & Hirata, R. P. (2023) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2023-0408 · Cited by 1
Wearables for diagnosis and predicting clinical milestones
Paul, S. S., & Mancini, M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-99494-1.00017-4 · Cited by 1
Self-citationEQUILIBRIUM BALANCE USING INERTIAL SENSOR TECHNOLOGY – ANALYSIS METHODOLOGY AND STANDARDS
Koroleva, S. V., Mikhaylov, D. V., & Korolev, P. V. (2024) · Современные проблемы науки и образования · doi:10.17513/spno.33439 · Cited by 1
Thelen, M. M., Meeker, A., Mazumder, F., Tabbah, M., Zhu, N., Tang, C., & Miller, N. S. (2024) · Journal of Engineering and Science in Medical Diagnostics and Therapy · doi:10.1115/1.4065860 · Cited by 1
Cognitive-motor interference in people with essential tremor
Monaghan, P. G., Murrah, W. M., Walker, H. C., Neely, K. A., & Roper, J. A. (2024) · Scientific Reports · doi:10.1038/s41598-024-74310-x · Cited by 1
Cossette, B., Boissy, P., Milot, M.-H., Hilmer, S. N., O’Donnell, L. K., Gnjidic, D., Sirois, C., Mangin, D. A., Ricard, G., Isenor, J. E., et al. (2025) · Canadian Journal on Aging / La Revue canadienne du vieillissement · doi:10.1017/s0714980825000078 · Cited by 1
Coccia, V. D. F., Rodacki, A. L. F., & Pavão, S. L. (2025) · Journal of Bodywork and Movement Therapies · doi:10.1016/j.jbmt.2025.05.060 · Cited by 1
Greca, S. L., Marinelli, S., Totaro, R., Pistoia, F., & Giminiani, R. D. (2025) · Applied Sciences · doi:10.3390/app15158351 · Cited by 2
Head kinematic analysis in idiopathic scoliosis: a case–control study
Gan, X., Zhang, R., Qiu, C., Cai, D., Li, F., Fang, H., Huang, C., Huang, Y., & Zhan, H. (2025) · Journal of Orthopaedic Surgery and Research · doi:10.1186/s13018-025-06535-z · Cited by 1
Suarez, J. R., Lafontant, K., Banarjee, C., Xie, R., Park, J.-H., & Thiamwong, L. (2026) · Geriatrics · doi:10.3390/geriatrics11010006 · Cited by 1
Instrumental assessment of Sit-to-Stand in Parkinson's disease: a scoping review
Trucco, M., Ditella, R., Dhimitriadhi, A., Occhetto, B., Ballesio, M., Job, M., & Testa, M. (2026) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-026-02023-5 · Cited by 1
Thompson, H. J., McGough, E. L., & Demiris, G. (2019) · Injury Prevention · doi:10.1136/injuryprev-2019-043332 · Cited by 1
Gray‐Miceli, D., Patel, N., Sekar, A., & Smith, M. L. (2019) · Journal of Gerontological Nursing · doi:10.3928/00989134-20190825-01 · Cited by 1
Masitha, S. (2022) · Cerdika Jurnal Ilmiah Indonesia · doi:10.36418/cerdika.v2i8.423 · Cited by 1
Metadata
- Authors
- Mancini, M., Salarian, A., Carlson-Kuhta, P., Zampieri, C., King, L., Chiari, L., & Horak, F. B.
- Affiliations
- Oregon Health & Science University (US)
- National Institutes of Health (US)
- University of Bologna (IT)
- Corresponding author
- Mancini, Martina
- Venue
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2012
- Volume
- 9
- Issue
- 1
- Pages
- 59
- ISSN
- 1743-0003 (ISSN-L)
- PMC
- PMC3481400
- OpenAlex
- W2093375256
- Cited by
- 499
- References
- 48
- Citations by year
- 2026: 29 · 2025: 32 · 2024: 39 · 2023: 34 · 2022: 56 · 2021: 43 · 2020: 50 · 2019: 46 · 2018: 36 · 2017: 33 · 2016: 35 · 2015: 35 · 2014: 21 · 2013: 9 · 2012: 1
- FWCI
- 52.06
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of NeuroEngineering and Rehabilitation (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Kinetics Foundation
- National Institutes of Health (AG006457, 5r37ag006457-28)
- National Institute on Aging (R37-AG006457, R01AG006457)
- National Institute of Neurological Disorders and Stroke (RC1NS068678)
- NIH Clinical Center
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Keywords
- postural sway, postural control, Parkinson's disease, wearable accelerometers, inertial sensors, balance assessment, test-retest reliability, concurrent validity, center of pressure, frequency domain analysis
- MeSH terms
- Acceleration, Aged, Algorithms, Biomechanical Phenomena, Data Interpretation, Statistical, Postural Balance, Female, Humans, Male, Middle Aged, Parkinson Disease, Reproducibility of Results
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
