1 LamontR M, MorrisM E, MenzH B, et al. Falls in people with Parkinson’s disease: a prospective comparison of community and home-based falls [J]. Gait Posture, 2017, 55(5): 62-67.
2 Wong-YuI S, MakM K. Task- and context-specific balance training program enhances dynamic balance and functional performance in Parkinsonian nonfallers: a randomized controlled trial with six-month follow-up [J]. Arch Phys Med Rehabil, 2015, 96(12): 2103-2111.
3 DahodwalaN, NwadiogbuC, FittsW, et al. Parkinsonian signs are a risk factor for falls [J]. Gait Posture, 2017, 55(1): 1-7.
4 Montero-OdassoM, Muir-HunterS W, Oteng-AmoakoA, et al. Donepezil improves gait performance in older adults with mild Alzheimer’s disease: a phase II clinical trial [J]. J Alzheimers Dis, 2015, 43(3): 193-199.
5 屈莎. 预测中老年人跌倒敏感指标和风险评价等级的研究[D]. 北京:北京体育大学, 2015.
6 韩佳琳. 老年人群跌倒现况、风险评估及康复干预的研究[D]. 青岛:青岛大学, 2017.
7 SparrowD, DeAngelisT R, HendronK, et al. Highly challenging balance program reduces fall rate in Parkinson disease [J]. J Neurol Phys Ther, 2016, 40(1): 24-30.
8 OsobaM Y, RaoA K, AgrawalS K, et al. Balance and gait in the elderly: a contemporary review [J]. Laryngoscope Investig Otolaryngol, 2019, 4(1): 143-153.
9 CampbellG, WolfeR A, KlemM L. Risk factors for falls in adult cancer survivors: an integrative review [J]. Rehabil Nurs, 2018, 43(4): 201-213.
10 GrimmerM, RienerR, WalshC J, et al. Mobility related physical and functional losses due to aging and disease－a motivation for lowerlimb exoskeletons [J]. J Neuroeng Rehabil, 2019, 16(1): 2.
11 KoS U, JeromeG J, SimonsickE M, et al. Differential associations between dual-task walking abilities and usual gait patterns in healthy older adults－results from the Baltimore Longitudinal Study of Aging [J]. Gait Posture, 2018, 63(6): 63-67.
12 AljehaniM, MadaraK, Snyder-MacklerL, et al. The contralateral knee may not be a valid control for biomechanical outcomes after unilateral total knee arthroplasty [J]. Gait Posture, 2019, 70(3): 179-184.
13 ParkS H. Tools for assessing fall risk in the elderly: a systematic review and meta-analysis [J]. Aging Clin Exp Res, 2018, 30(1): 1-16.
14 NakamuraT, MeguroK, SasakiH. Relationship between type [J]. Gerontology, 1996, 42(2): 108-113.
15 HouW H, KangC M, HoM H, et al. Evaluation of an inpatient fall risk screening tool to identify the most critical fall risk factors in inpatients [J]. J Clin Nurs, 2017, 26(5): 698-706.
16 VergheseJ, AmbroseA F, LiptonR B, et al. Neurological gait abnormalities and risk of falls in older adults [J]. J Neurol, 2010, 257(3): 392-398.
17 HoltzerR, VergheseJ, AllaliG. Neurological gait abnormalities moderate the functional brain signature of the posture first hypothesis [J]. Brain Topogr, 2016, 29(2): 334-343.
18 MehdizadehS. The largest Lyapunov exponent of gait in young and elderly individuals: a systematic review [J]. Gait Posture, 2018, 60(2): 241-250.
19 ElbazA, MorA, SegalG, et al. Lower extremity kinematic profile of gait of patients after ankle fracture: a case control study [J]. J Foot Ankle Surg, 2016, 55(5): 918-921.
20 KimM, LeeD. Development of an IMU based foot-ground contact detection (FGCD) algorithm [J]. Ergonomics, 2017, 60(3): 1-23.
21 MehdizadehS, SanjariM A. Effect of noise and filtering on largest Lyapunov exponent of time series associated with human walking [J]. J Biomech, 2017, 64(11): 236-239.
22 HamacherD, SinghN B, Van Die?nJ H, et al. Kinematic measures for assessing gait stability in elderly individuals: a systematic review [J]. J R Soc Interface, 2011, 65(8): 1682-1698.
23 BruijnS M, BregmanD J, MeijerO G, et al. Maximum Lyapunov exponents as predictors of global gait stability: a modelling approach [J]. Med Eng Phys, 2012, 34(4): 428-436.
24 RispensS M, PijnappelsM, van Die?nJ H, et al. A benchmark test of accuracy and precision in estimating dynamical systems characteristics from a time series [J]. J Biomech, 2014, 47(2): 470-475.
25 BeaudetteS M, HowarthS J, GrahamR B. On the use of a Euclidean norm function for the estimation of local dynamic stability from 3D kinematics using time-delayed Lyapunov analyses [J]. Med Eng Phys, 2016, 38(10): 1139-1145.
26 ToebesM J, HoozemansM J, FurrerR, et al. Local dynamic stability and variability of gait are associated with fall history in elderly subjects [J]. Gait Posture, 2012, 36(3): 527-531.
27 CignettiF, DeckerL M, StergiouN. Sensitivity of the Wolf’s and Rosenstein’s algorithms to evaluate local dynamic stability from small gait data sets [J]. Ann Biomed Eng, 2012, 40(5): 1122-1130.
28 SimsD T, BurdenA, PaytonC, et al. A quantitative description of self-selected walking in adults with achondroplasia using the gait profile score [J]. Gait Posture, 2019, 68(2): 150-154.
29 FukuchiC A, DuarteM. Gait profile score in able-bodied and post-stroke individuals adjusted for the effect of gait speed [J]. Gait Posture, 2019, 69(3): 40-45.
30 CorreaK P, DevetakG F, MartelloS K, et al. Reliability and minimum detectable change of the Gait Deviation Index (GDI) in post-stroke patients [J]. Gait Posture, 2017, 53(3): 29-34.
31 MatsunagaN, ItoT, NoritakeK, et al. Correlation between the Gait Deviation Index and skeletal muscle mass in children with spastic cerebral palsy [J]. J Phys Ther Sci, 2018, 30(9): 1176-1179
32 CimolinV, CondoluciC, CosticiP F, et al. A proposal for a kinetic summary measure: the Gait Kinetic Index [J]. Comput Methods Biomech Biomed Engin, 2018, 16(11): 1-6.
33 BarakY, WagenaarR C, HoltK G. Gait characteristics of elderly people with a history of falls: a dynamic approach [J]. Phys Ther, 2006, 86(11): 1501-1510.
34 SrygleyJ M, HermanT, GiladiN, et al. Self-report of missteps in older adults: a valid proxy of fall risk? [J]. Arch Phys Med Rehabil, 2009, 90(5): 786-792.
35 MansfiendA, MochizukiG, InnessE L, et al. Clinical correlates of between-limb synchronization of standing balance control and falls during inpatient stroke rehabilitation [J]. Neurorehabil Neural Repair, 2012, 26(6): 627-635.
36 Di RosaM, HausdorffJ M, StaraV, et al. Concurrent validation of an index to estimate fall risk in community dwelling seniors through a wireless sensor insole system: a pilot study [J]. Gait Posture, 2017, 55(5): 6-11.
37 DanielsenA, OlofsenH, BremdalB A. Increasing fall risk awareness using wearables: a fall risk awareness protocol [J]. J Biomed Inform, 2016, 63(5): 184-194.
38 WashabaughE P, KalyanaramanT, AdamczykP G, et al. Validity and repeatability of inertial measurement units for measuring gait parameters [J]. Gait Posture, 2017, 55(5): 87-93.
