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Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium.
Micó-Amigo ME, Bonci T, Paraschiv-Ionescu A, Ullrich M, Kirk C, Soltani A, Küderle A, Gazit E, Salis F, Alcock L, Aminian K, Becker C, Bertuletti S, Brown P, Buckley E, Cantu A, Carsin AE, Caruso M, Caulfield B, Cereatti A, Chiari L, D'Ascanio I, Eskofier B, Fernstad S, Froehlich M, Garcia-Aymerich J, Hansen C, Hausdorff JM, Hiden H, Hume E, Keogh A, Kluge F, Koch S, Maetzler W, Megaritis D, Mueller A, Niessen M, Palmerini L, Schwickert L, Scott K, Sharrack B, Sillén H, Singleton D, Vereijken B, Vogiatzis I, Yarnall AJ, Rochester L, Mazzà C, Del Din S; Mobilise-D consortium. Micó-Amigo ME, et al. J Neuroeng Rehabil. 2023 Jun 14;20(1):78. doi: 10.1186/s12984-023-01198-5. J Neuroeng Rehabil. 2023. PMID: 37316858 Free PMC article.
Algorithms' performances were lower for short walking bouts; slower gait speeds (< 0.5 m/s) resulted in reduced performance of the CAD and SL algorithms. ...
Algorithms' performances were lower for short walking bouts; slower gait speeds (< 0.5 m/s) resulted in reduced performance …
Algorithms for Walking Speed Estimation Using a Lower-Back-Worn Inertial Sensor: A Cross-Validation on Speed Ranges.
Soltani A, Aminian K, Mazza C, Cereatti A, Palmerini L, Bonci T, Paraschiv-Ionescu A. Soltani A, et al. IEEE Trans Neural Syst Rehabil Eng. 2021;29:1955-1964. doi: 10.1109/TNSRE.2021.3111681. Epub 2021 Sep 27. IEEE Trans Neural Syst Rehabil Eng. 2021. PMID: 34506286 Free article.
For normal walkers, the errors were 3.5 steps/min, 0.08 m, and 0.12 m/s. An average RMSE of 1.3 steps/min, 0.05 m, and 0.10 m/s were also observed on fast walkers. ...It achieved an RMSE of 0.10, 0.18, 0.15, and 0.32 m/s for slow, normal, …
For normal walkers, the errors were 3.5 steps/min, 0.08 m, and 0.12 m/s. An average RMSE of 1.3 steps/min, 0.05 m, and 0.10 …
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device.
Kirk C, Küderle A, Micó-Amigo ME, Bonci T, Paraschiv-Ionescu A, Ullrich M, Soltani A, Gazit E, Salis F, Alcock L, Aminian K, Becker C, Bertuletti S, Brown P, Buckley E, Cantu A, Carsin AE, Caruso M, Caulfield B, Cereatti A, Chiari L, D'Ascanio I, Garcia-Aymerich J, Hansen C, Hausdorff JM, Hiden H, Hume E, Keogh A, Kluge F, Koch S, Maetzler W, Megaritis D, Mueller A, Niessen M, Palmerini L, Schwickert L, Scott K, Sharrack B, Sillén H, Singleton D, Vereijken B, Vogiatzis I, Yarnall AJ, Rochester L, Mazzà C, Eskofier BM, Del Din S; Mobilise-D consortium. Kirk C, et al. Sci Rep. 2024 Jan 19;14(1):1754. doi: 10.1038/s41598-024-51766-5. Sci Rep. 2024. PMID: 38243008 Free PMC article.
In the laboratory, the mean absolute error (MAE) and mean relative error (MRE) for walking speed estimation ranged from 0.06 to 0.12 m/s and - 2.1 to 14.4%, with ICCs (Intraclass correlation coefficients) between good (0.79) and excellent (0.91). ...
In the laboratory, the mean absolute error (MAE) and mean relative error (MRE) for walking speed estimation ranged from 0.06 to 0.12 m …
Running Speed Estimation Using Shoe-Worn Inertial Sensors: Direct Integration, Linear, and Personalized Model.
Falbriard M, Soltani A, Aminian K. Falbriard M, et al. Front Sports Act Living. 2021 Mar 18;3:585809. doi: 10.3389/fspor.2021.585809. eCollection 2021. Front Sports Act Living. 2021. PMID: 33817632 Free PMC article.
The direct estimation of the running speed achieved an inter-subject mean STD accuracy of 0.08 0.1 m/s and a precision of 0.16 0.04 m/s. In comparison, the best feature-based linear model achieved 0.00 0.11 m/s accuracy and 0.11 0.05 m …
The direct estimation of the running speed achieved an inter-subject mean STD accuracy of 0.08 0.1 m/s and a precision of 0.16 …
Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study.
Soltani A, Abolhassani N, Marques-Vidal P, Aminian K, Vollenweider P, Paraschiv-Ionescu A. Soltani A, et al. Sci Rep. 2021 Sep 23;11(1):18966. doi: 10.1038/s41598-021-98359-0. Sci Rep. 2021. PMID: 34556721 Free PMC article.
A set of metrics were derived from the statistical distribution of speed of gait bouts categorized by duration (short, medium, long). The estimated usual gait speed (1-1.6 m/s) appears consistent with normative values and expected trends with age, gender, BMI and ph …
A set of metrics were derived from the statistical distribution of speed of gait bouts categorized by duration (short, medium, long). The es …
Real-World Gait Speed Estimation Using Wrist Sensor: A Personalized Approach.
Soltani A, Dejnabadi H, Savary M, Aminian K. Soltani A, et al. IEEE J Biomed Health Inform. 2020 Mar;24(3):658-668. doi: 10.1109/JBHI.2019.2914940. Epub 2019 May 6. IEEE J Biomed Health Inform. 2020. PMID: 31059461
The proposed method was validated on 30 healthy subjects where it has achieved a median [Interquartile Range] of root mean square error of 0.05 [0.04-0.06] (m/s) and 0.14 [0.11-0.17] (m/s) for walking and running, respectively. ...
The proposed method was validated on 30 healthy subjects where it has achieved a median [Interquartile Range] of root mean square error of 0 …
Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050.
Global Burden of Disease 2020 Health Financing Collaborator Network. Global Burden of Disease 2020 Health Financing Collaborator Network. Lancet. 2021 Oct 9;398(10308):1317-1343. doi: 10.1016/S0140-6736(21)01258-7. Epub 2021 Sep 22. Lancet. 2021. PMID: 34562388 Free PMC article. Review.
Diagnostic value of shear wave sonoelastography in differentiation of benign from malignant thyroid nodules.
Aghaghazvini L, Maheronnaghsh R, Soltani A, Rouzrokh P, Chavoshi M. Aghaghazvini L, et al. Eur J Radiol. 2020 May;126:108926. doi: 10.1016/j.ejrad.2020.108926. Epub 2020 Mar 3. Eur J Radiol. 2020. PMID: 32171916
The best cut-off point for differentiation of benign from malignant nodules was 3.63 m/s for maximum velocity (sensitivity of 90 %, specificity of 78.2 %,) and 3.44 m/s for mean velocity (sensitivity of 90 %, specificity of 76.4 %). ...
The best cut-off point for differentiation of benign from malignant nodules was 3.63 m/s for maximum velocity (sensitivity of …
15 results