Poosri T, Boripuntakul S, Sungkarat S, Kamnardsiri T, Soontornpun A, Pinyopornpanish K
PLoS One. 2024; 19(1):e0296710.
PMID: 38241332
PMC: 10798528.
DOI: 10.1371/journal.pone.0296710.
Lee C, Mendoza T, Huang C, Sun T
Healthcare (Basel). 2023; 11(13).
PMID: 37444772
PMC: 10341555.
DOI: 10.3390/healthcare11131938.
Troisi Lopez E, Minino R, Sorrentino P, Manzo V, Tafuri D, Sorrentino G
PLoS One. 2022; 17(5):e0268392.
PMID: 35551300
PMC: 9098031.
DOI: 10.1371/journal.pone.0268392.
Conway Z, Silburn P, Perera T, OMaley K, Cole M
J Neuroeng Rehabil. 2021; 18(1):125.
PMID: 34376190
PMC: 8353795.
DOI: 10.1186/s12984-021-00921-4.
Daines K, Baddour N, Burger H, Bavec A, Lemaire E
PLoS One. 2021; 16(4):e0247574.
PMID: 33901209
PMC: 8075234.
DOI: 10.1371/journal.pone.0247574.
Revisiting the Instrumented Romberg Test: Can Today's Technology Offer a Risk-of-Fall Screening Device for Senior Citizens? An Experience-Based Approach.
Gallamini M, Piastra G, Lucarini S, Porzio D, Ronchi M, Pirino A
Life (Basel). 2021; 11(2).
PMID: 33672455
PMC: 7923416.
DOI: 10.3390/life11020161.
Will We Do If We Can? Habitual Qualitative and Quantitative Physical Activity in Multi-Morbid, Older Persons with Cognitive Impairment.
Abel B, Bongartz M, Eckert T, Ullrich P, Beurskens R, Mellone S
Sensors (Basel). 2020; 20(24).
PMID: 33339293
PMC: 7766414.
DOI: 10.3390/s20247208.
Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis-A Scoping Review.
Kobsar D, Masood Z, Khan H, Khalil N, Kiwan M, Ridd S
Sensors (Basel). 2020; 20(24).
PMID: 33322187
PMC: 7763184.
DOI: 10.3390/s20247143.
Acceleration Gait Measures as Proxies for Motor Skill of Walking: A Narrative Review.
Dasgupta P, VanSwearingen J, Godfrey A, Redfern M, Montero-Odasso M, Sejdic E
IEEE Trans Neural Syst Rehabil Eng. 2020; 29:249-261.
PMID: 33315570
PMC: 7995554.
DOI: 10.1109/TNSRE.2020.3044260.
Smoothness of Gait in Healthy and Cognitively Impaired Individuals: A Study on Italian Elderly Using Wearable Inertial Sensor.
Pau M, Mulas I, Putzu V, Asoni G, Viale D, Mameli I
Sensors (Basel). 2020; 20(12).
PMID: 32599872
PMC: 7348719.
DOI: 10.3390/s20123577.
Kinematic Validation of Postural Sway Measured by Biodex Biosway (Force Plate) and SWAY Balance (Accelerometer) Technology.
Dewan B, James C, Kumar N, Sawyer S
Biomed Res Int. 2020; 2019:8185710.
PMID: 31930140
PMC: 6942738.
DOI: 10.1155/2019/8185710.
The relationship between trunk acceleration parameters and kinematic characteristics during walking in patients with stroke.
Yen C, Chang K, Wu C, Hsieh Y
J Phys Ther Sci. 2019; 31(8):638-644.
PMID: 31528001
PMC: 6698468.
DOI: 10.1589/jpts.31.638.
Analyzing the Use of Accelerometers as a Method of Early Diagnosis of Alterations in Balance in Elderly People: A Systematic Review.
Leiros-Rodriguez R, Garcia-Soidan J, Romo-Perez V
Sensors (Basel). 2019; 19(18).
PMID: 31505828
PMC: 6767154.
DOI: 10.3390/s19183883.
Quantifying Dynamic Balance in Young, Elderly and Parkinson's Individuals: A Systematic Review.
Siragy T, Nantel J
Front Aging Neurosci. 2018; 10:387.
PMID: 30524270
PMC: 6262057.
DOI: 10.3389/fnagi.2018.00387.
Full Band Spectra Analysis of Gait Acceleration Signals for Peripheral Arterial Disease Patients.
Chidean M, Barquero-Perez O, Goya-Esteban R, Sanchez Sixto A, de la Cruz Torres B, Orellana J
Front Physiol. 2018; 9:1061.
PMID: 30131716
PMC: 6090042.
DOI: 10.3389/fphys.2018.01061.
SPARC: a new approach to quantifying gait smoothness in patients with Parkinson's disease.
Beck Y, Herman T, Brozgol M, Giladi N, Mirelman A, Hausdorff J
J Neuroeng Rehabil. 2018; 15(1):49.
PMID: 29914518
PMC: 6006701.
DOI: 10.1186/s12984-018-0398-3.
Inertial Sensor-Based Variables Are Indicators of Frailty and Adverse Post-Operative Outcomes in Cardiovascular Disease Patients.
Soangra R, Lockhart T
Sensors (Basel). 2018; 18(6).
PMID: 29865245
PMC: 6021795.
DOI: 10.3390/s18061792.
Consensus Paper: Neurophysiological Assessments of Ataxias in Daily Practice.
Ilg W, Branscheidt M, Butala A, Celnik P, De Paola L, Horak F
Cerebellum. 2018; 17(5):628-653.
PMID: 29656311
DOI: 10.1007/s12311-018-0937-2.
Improved Prediction of Falls in Community-Dwelling Older Adults Through Phase-Dependent Entropy of Daily-Life Walking.
Ihlen E, van Schooten K, Bruijn S, van Dieen J, Vereijken B, Helbostad J
Front Aging Neurosci. 2018; 10:44.
PMID: 29556188
PMC: 5844982.
DOI: 10.3389/fnagi.2018.00044.
Faller Classification in Older Adults Using Wearable Sensors Based on Turn and Straight-Walking Accelerometer-Based Features.
Drover D, Howcroft J, Kofman J, Lemaire E
Sensors (Basel). 2017; 17(6).
PMID: 28590432
PMC: 5492293.
DOI: 10.3390/s17061321.