前言: 過去的研究顯示，老年人跌倒風險較高且頻繁發生，跌倒或類似跌倒的步態及行動障礙對身體健康影響深遠。因此，對老年人進行活動能力評估至關重要，能及早發現潛在傷害並減少跌倒風險，從而幫助制定更有效的預防措施。跌倒的原因通常包括外在、內在和行為因素，因此相關的評估工具多數會包含平衡和步態測試。然而，這些工具大多需要大型、笨重的儀器，且需在實驗室進行測試，使用上不太便利。過去學者提出利用小型且輕便的慣性感測器來收集步態時空參數，並將其結合於Timed Up and Go 測試中，能提高跌倒風險評估的準確度。然而，過去的研究發現，使用多項測驗綜合評估能更準確地檢測跌倒風險。目的: 本研究旨在找出哪些步態參數和平衡參數可以辨別老年人是否有跌倒經驗。方法: 招募28名老年人，分別進行Timed Up and Go、六分鐘步行測驗和單/雙腳平衡測驗。通過比較有無跌倒經驗的老年人這三種測驗中的表現差異，來評估那些參數可以辨別。結果: 有無跌倒經驗的老年人TUG中的完成時間有顯著差異p<.001，六分鐘步行測驗中的步頻和步長有顯著差異p<.001，雙腳站立平衡測驗中的總向量幅度有顯著差異p<.05，單腳站立平衡測驗中左腳和右腳的總向量幅度、前後和左右向的晃動和晃動範圍均有顯著差異p<.001。結論: TUG完成時間、六分鐘步行測驗的步頻和步長、雙腳平衡測驗中的總向量幅度，以及單腳平衡測驗中的各項總向量幅度、前後和左右向的晃動和晃動範圍是評估老年人跌倒風險的重要指標。

Background: Previous studies have shown that older adults are at higher risk of falls, which frequently occur and have a profound impact on physical health. Gait and mobility impairments related to falls or near-falls can significantly affect overall health. Therefore, assessing the activity ability of older adults is crucial for early identification of potential injuries and for reducing fall risks, which helps to develop more effective preventive measures. Falls are generally caused by external, internal, and behavioral factors, so most related assessment tools include balance and gait tests. However, these tools often require large, cumbersome equipment and must be conducted in a laboratory, making them inconvenient to use. Past research has suggested using small and portable inertial sensors to collect spatiotemporal gait parameters, integrating them into the Timed Up and Go (TUG) test, to improve the accuracy of fall risk assessments. Nevertheless, some studies have found that using a combination of multiple tests can more accurately assess fall risk. Purpose: This study aims to identify which gait and balance parameters can differentiate whether older adults have a history of falls. Methods: Twenty-eight older adults were recruited to undergo the Timed Up and Go, Six-Minute Walk Test, and Single/Double-Leg Balance Tests. By comparing the performance differences in these three tests between individuals with and without a history of falls, the study assesses which parameters can be used to differentiate between the two groups. Results: There were significant differences in the TUG completion time between those with and without fall experience (p < .001). In the Six-Minute Walk Test, there were significant differences in step frequency and stride length (p < .001). In the Double-Leg Balance Test, there were significant differences in the total vector magnitude (p < .05). In the Single-Leg Balance Test, there were significant differences in total vector magnitude, as well as the anterior-posterior and medial-lateral sway and sway range for both the left and right legs (p < .001). Conclusion: The TUG completion time, step frequency and stride length in the Six-Minute Walk Test, total vector magnitude in the Double-Leg Balance Test, and the total vector magnitude, anterior-posterior and medial-lateral sway, and sway range in the Single-Leg Balance Test are important indicators for assessing fall risk in older adults.

李尹鑫、張家豪、王宏正（2010）。以測力板檢測中、老年人靜態平衡能力。華人運動生物力學期刊，(2)，16-21。
Abellan van Kan, G., Rolland, Y., Andrieu, S., Bauer, J., Beauchet, O., Bonnefoy, M., ... & Nourhashemi, F. (2009). onder G, Ritz P, Salva A, Visser M, Vellas B. Gait speed at usual pace as a predictor of adverse outcomes in community-dwelling older people an international academy on nutrition and aging (IANA) task force. J Nutr Health Aging, 13(10), 881-9.
Ambrose, A. F., Cruz, L., & Paul, G. (2015). Falls and fractures: a systematic approach to screening and prevention. Maturitas, 82(1), 85-93.
Annegarn, J., Spruit, M. A., Savelberg, H. H., Willems, P. J., Bool, C. V. D., Schols, A. M., ... & Meijer, K. (2012). Differences in walking pattern during 6-min walk test between patients with COPD and healthy subjects. PloS one, 7(5), e37329.
ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories. (2002). ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med, 166, 111-117.
Bagala, F., Becker, C., Cappello, A., Chiari, L., Aminian, K., Hausdorff, J. M., ... & Klenk, J. (2012). Evaluation of accelerometer-based fall detection algorithms on real-world falls. PloS one, 7(5), e37062.
Baker, N., Grimmer, K., & Gordon, S. (2022). Balance provocation tests identify near falls in healthy community adults aged 40-75 years; an observational study. Physiotherapy theory and practice, 38(13), 3072-3081.
Baloh, R. W., Fife, T. D., Zwerling, L., Socotch, T., Jacobson, K., Bell, T., & Beykirch, K. (1994). Comparison of static and dynamic posturography in young and older normal people. Journal of the American Geriatrics Society, 42(4), 405-412.
Barry, E., Galvin, R., Keogh, C., Horgan, F., & Fahey, T. (2014). Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta-analysis. BMC Geriatrics, 14, 1-14.
Bassement, J. N., Shukla, B. K., Yadav, S. K., Vijay, V., Mathur, A., & Hewson, D. J. (2020). A pilot study to detect balance impairment in older adults using an instrumented one-leg stance test. Journal of Biomechanical Engineering, 142(9), 091001.
Bayot, M., Dujardin, K., Dissaux, L., Tard, C., Defebvre, L., Bonnet, C. T., ... & Delval, A. (2020). Can dual-task paradigms predict falls better than single task?–a systematic literature review. Neurophysiologie Clinique, 50(6), 401-440.
Beauchet, O., Annweiler, C., Allali, G., Berrut, G., Herrmann, F. R., & Dubost, V. (2008). Recurrent falls and dual task–related decrease in walking speed: Is there a relationship?. Journal of the American Geriatrics Society, 56(7), 1265-1269.
Beauchet, O., Fantino, B., Allali, G., Muir, S. W., Montero-Odasso, M., & Annweiler, C. (2011). Timed Up and Go test and risk of falls in older adults: a systematic review. The Journal of Nutrition, Health & Aging, 15, 933-938.
Beck Jepsen, D., Robinson, K., Ogliari, G., Montero-Odasso, M., Kamkar, N., Ryg, J., ... & Masud, T. (2022). Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility. BMC Geriatrics, 22(1), 615.
Blain, H., Masud, T., Dargent-Molina, P., Martin, F. C., Rosendahl, E., Van Der Velde, N., ... & Strandberg, T. (2016). Eugms falls and fracture interest group; international association of gerontology and geriatrics for the European region ; european union of medical specialists ; fragility fracture network ; european society for clinical and economic aspects of osteoporosis and osteoarthritis , and; international osteoporosis foundation . A comprehensive fracture prevention strategy in older adults: the european union geriatric medicine society statement. Aging Clin Exp Res, 28(4), 797-803.
Bloem, B. R., Steijns, J. A., & Smits-Engelsman, B. C. (2003). An update on falls. Current Opinion in Neurology, 16(1), 15-26.
Bonato, P. (2005). Advances in wearable technology and applications in physical medicine and rehabilitation. Journal of Neuroengineering and Rehabilitation, 2, 1-4.
Bouillon, L. E., Sklenka, D. K., & Driver, A. C. (2009). Comparison of training between 2 cycle ergometers on dynamic balance for middle-aged women. Journal of Sport Rehabilitation, 18(2), 316-326.
Bouillon, L. E., & Baker, J. L. (2011). Dynamic balance differences as measured by the star excursion balance test between adult-aged and middle-aged women. Sports Health, 3(5), 466-469.
Brooke-Wavell, K., Athersmith, L. E., Jones, P. R. M., & Masud, T. (1998). Brisk walking and postural stability: a cross-sectional study in postmenopausal women. Gerontology, 44(5), 288-292.
Buisseret, F., Catinus, L., Grenard, R., Jojczyk, L., Fievez, D., Barvaux, V., & Dierick, F. (2020). Timed up and go and six-minute walking tests with wearable inertial sensor: one step further for the prediction of the risk of fall in elderly nursing home people. Sensors, 20(11), 3207.
Byun, S., Han, J. W., Kim, T. H., & Kim, K. W. (2016). Test-retest reliability and concurrent validity of a single tri-axial accelerometer-based gait analysis in older adults with normal cognition. PLoS One, 11(7), e0158956.
Chantanachai, T., Sturnieks, D. L., Lord, S. R., Payne, N., Webster, L., & Taylor, M. E. (2021). Risk factors for falls in older people with cognitive impairment living in the community: systematic review and meta-analysis. Ageing Research Reviews, 71, 101452.
Craig, J. J., Bruetsch, A. P., Lynch, S. G., Horak, F. B., & Huisinga, J. M. (2017). Instrumented balance and walking assessments in persons with multiple sclerosis show strong test-retest reliability. Journal of Neuroengineering and Rehabilitation, 14, 1-9.
De Vos, M., Prince, J., Buchanan, T., FitzGerald, J. J., & Antoniades, C. A. (2020). Discriminating progressive supranuclear palsy from Parkinson's disease using wearable technology and machine learning. Gait & Posture, 77, 257-263.
Dolatabadi, E., Van Ooteghem, K., Taati, B., & Iaboni, A. (2018). Quantitative mobility assessment for fall risk prediction in dementia: a systematic review. Dementia and Geriatric Cognitive Disorders, 45(5-6), 353-367.
Eagles, D., Yadav, K., Perry, J. J., Sirois, M. J., & Emond, M. (2018). Mobility assessments of geriatric emergency department patients: a systematic review. Canadian Journal of Emergency Medicine, 20(3), 353-361.
Formiga, F., Navarro, M., Duaso, E., Chivite, D., Ruiz, D., Perez-Castejon, J. M., ... & Pujol, R. (2008). Factors associated with hip fracture-related falls among patients with a history of recurrent falling. Bone, 43(5), 941-944.
Fu, C. J., Chen, W. C., Lu, M. L., Niu, C. C., Lee, Y. H., & Cheng, C. H. (2021). Equipment-free fall-risk assessments for the functionally independent elderly: A systematic review and meta-analysis. International Journal of Gerontology, 15(4).
Gafner, S. C., Allet, L., Hilfiker, R., & Bastiaenen, C. H. G. (2021). Reliability and diagnostic accuracy of commonly used performance tests relative to fall history in older persons: a systematic review. Clinical Interventions in Aging, 1591-1616.
Ganz, D. A., Bao, Y., Shekelle, P. G., & Rubenstein, L. Z. (2007). Will my patient fall?. Jama, 297(1), 77-86.
García-de-Villa, S., Ruiz, L. R., Neira, G. G. V., Álvarez, M. N., Huertas-Hoyas, E., Del-Ama, A. J., ... & Jiménez, A. R. (2024). Validation of an IMU-based gait analysis method for assessment of fall risk against traditional methods. IEEE Journal of Biomedical and Health Informatics.
Granacher, U., Muehlbauer, T., Gollhofer, A., Kressig, R. W., & Zahner, L. (2011). An intergenerational approach in the promotion of balance and strength for fall prevention–a mini-review. Gerontology, 57(4), 304-315.
Granacher, U., Muehlbaue, T., Zahner, L., Gollhofer, A., & Kressig, R. W. (2011). Comparison of traditional and recent approaches in the promotion of balance and strength in older adults. Sports Medicine, 41, 377-400.
Guimarães, V., Ribeiro, D., & Rosado, L. (2013, October). A smartphone-based fall risk assessment tool: measuring one leg standing, sit to stand and falls efficacy scale. In 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013) (pp. 529-533). IEEE.
Hasegawa, N., Shah, V. V., Carlson-Kuhta, P., Nutt, J. G., Horak, F. B., & Mancini, M. (2019). How to select balance measures sensitive to Parkinson’s disease from body-worn inertial sensors—separating the trees from the forest. Sensors, 19(15), 3320.
Hausdorff, J. M., Rios, D. A., & Edelberg, H. K. (2001). Gait variability and fall risk in community-living older adults: a 1-year prospective study. Archives of Physical Medicine and Rehabilitation, 82(8), 1050-1056.
Hellmers, S., Izadpanah, B., Dasenbrock, L., Diekmann, R., Bauer, J. M., Hein, A., & Fudickar, S. (2018). Towards an automated unsupervised mobility assessment for older people based on inertial TUG measurements. Sensors, 18(10), 3310.
Jalali, M.M., Gerami, H., Heidarzadeh, A. et al. Balance performance in older adults and its relationship with falling. Aging Clin Exp Res 27, 287–296 (2015).
Jehn, M., Schmidt-Trucksäess, A., Schuster, T., Hanssen, H., Weis, M., Halle, M., & Koehler, F. (2009). Accelerometer-based quantification of 6-minute walk test performance in patients with chronic heart failure: applicability in telemedicine. Journal of Cardiac Failure, 15(4), 334-340.
Jehu, D. A., Davis, J. C., Falck, R. S., Bennett, K. J., Tai, D., Souza, M. F., ... & Liu-Ambrose, T. (2021). Risk factors for recurrent falls in older adults: A systematic review with meta-analysis. Maturitas, 144, 23-28.
Kabeshova, A., Launay, C. P., Gromov, V. A., Fantino, B., Levinoff, E. J., Allali, G., & Beauchet, O. (2016). Falling in the elderly: Do statistical models matter for performance criteria of fall prediction? Results from two large population-based studies. European Journal of Internal Medicine, 27, 48-56.
Kamiya, Kentaro, et al. "Gait speed has comparable prognostic capability to six-minute walk distance in older patients with cardiovascular disease." European Journal of Preventive Cardiology 25.2 (2018): 212-219.
Kozinc Z, Lofler S, Hofer C, Carraro U, Sarabon N. Diagnostic balance tests for assessing risk of falls and distinguishing older adult fallers and non-fallers: A systematic review with meta-analysis. Diagnostics (Basel). 2020;10(9).
Lee, J., Geller, A. I., & Strasser, D. C. (2013). Analytical review: focus on fall screening assessments. PM&R, 5(7), 609-621.
Lelard, T., & Ahmaidi, S. (2015). Effects of physical training on age-related balance and postural control. Neurophysiologie Clinique/Clinical Neurophysiology, 45(4-5), 357-369.
Lima, C. A., Ricci, N. A., Nogueira, E. C., & Perracini, M. R. (2018). The berg balance scale as a clinical screening tool to predict fall risk in older adults: a systematic review. Physiotherapy, 104(4), 383-394.
Liu, J., Zhang, X., & Lockhart, T. E. (2012). Fall risk assessments based on postural and dynamic stability using inertial measurement unit. Safety and Health at Work, 3(3), 192-198.
Lord, S. R., & Ward, J. A. (1994). Age-associated differences in sensori-motor function and balance in community dwelling women. Age and Ageing, 23(6), 452-460.
Lord, S. R., Sherrington, C., & Naganathan, V. (Eds.). (2021). Falls in Older People. Cambridge University Press.
Lusardi, M. M., Fritz, S., Middleton, A., Allison, L., Wingood, M., Phillips, E., ... & Chui, K. K. (2017). Determining risk of falls in community dwelling older adults: a systematic review and meta-analysis using posttest probability. Journal of geriatric physical therapy, 40(1), 1-36.
Lusardi, M. M., Fritz, S., Middleton, A., Allison, L., Wingood, M., Phillips, E., ... & Chui, K. K. (2017). Determining risk of falls in community dwelling older adults: a systematic review and meta-analysis using posttest probability. Journal of Geriatric Physical Therapy, 40(1), 1-36.
Mathias, S., Nayak, U. S., & Isaacs, B. (1986). Balance in elderly patients: the" get-up and go" test. Archives of Physical Medicine and Rehabilitation, 67(6), 387-389.
Marcolin, G., Panizzolo, F. A., Biancato, E., Cognolato, M., Petrone, N., & Paoli, A. (2019). Moderate treadmill run worsened static but not dynamic postural stability of healthy individuals. European Journal of Applied Physiology, 119, 841-846.
Marín-Jiménez N, Cruz-León C, Perez-Bey A, Conde-Caveda J, Grao-Cruces A, Aparicio VA. Predictive validity of motor fitness and flexibility tests in adults and older adults: A systematic review. J Clin Med. 2022;11(2):328.
Menant, J. C., Schoene, D., Sarofim, M., & Lord, S. R. (2014). Single and dual task tests of gait speed are equivalent in the prediction of falls in older people: a systematic review and meta-analysis. Ageing Research Reviews, 16, 83-104.
Muir, S. W., Berg, K., Chesworth, B., Klar, N., & Speechley, M. (2010). Quantifying the magnitude of risk for balance impairment on falls in community-dwelling older adults: a systematic review and meta-analysis. Journal of Clinical Epidemiology, 63(4), 389-406.
Muir-Hunter, S. W., & Wittwer, J. E. (2016). Dual-task testing to predict falls in community-dwelling older adults: a systematic review. Physiotherapy, 102(1), 29-40.
Muro-De-La-Herran, A., Garcia-Zapirain, B., & Mendez-Zorrilla, A. (2014). Gait analysis methods: An overview of wearable and non-wearable systems, highlighting clinical applications. Sensors, 14(2), 3362-3394.
Nakamura, D. M., Holm, M. B., & Wilson, A. (1999). Measures of balance and fear of falling in the elderly: a review. Physical & Occupational Therapy in Geriatrics, 15(4), 17-32.
Neuls, P. D., Clark, T. L., Van Heuklon, N. C., Proctor, J. E., Kilker, B. J., Bieber, M. E., ... & Newton, R. A. (2011). Usefulness of the Berg Balance Scale to predict falls in the elderly. Journal of Geriatric Physical Therapy, 34(1), 3-10.
O’Brien, M. K., Hidalgo-Araya, M. D., Mummidisetty, C. K., Vallery, H., Ghaffari, R., Rogers, J. A., ... & Jayaraman, A. (2019). Augmenting clinical outcome measures of gait and balance with a single inertial sensor in age-ranged healthy adults. Sensors, 19(20), 4537.
Omana H, Bezaire K, Brady K, et al. Functional reach test, single-leg stance test, and tinetti performance-oriented mobility assessment for the prediction of falls in older adults: a systematic review. Phys Ther. 2021;101(10)
Ozdemir, H. Y., Ozel, C. B., Dural, M., Yalvac, H. E., Al, A., Murat, S., ... & Cavusoglu, Y. (2024). The 6-minute walk test and fall risk in patients with heart failure: A cross-sectional study. Heart & Lung, 64, 80-85.
Paillard, T. (2017). Plasticity of the postural function to sport and/or motor experience. Neuroscience & Biobehavioral Reviews, 72, 129-152.
Paillard, T., Lafont, C., Soulat, J. M., Montoya, R., Costes-Salon, M. C., & Dupui, P. (2005). Short-term effects of electrical stimulation superimposed on muscular voluntary contraction in postural control in elderly women. The Journal of Strength & Conditioning Research, 19(3), 640-646.
Pamoukdjian, F., Paillaud, E., Zelek, L., Laurent, M., Lévy, V., Landre, T., & Sebbane, G. (2015). Measurement of gait speed in older adults to identify complications associated with frailty: a systematic review. Journal of Geriatric Oncology, 6(6), 484-496.
Park, S. H. (2018). Tools for assessing fall risk in the elderly: a systematic review and meta-analysis. Aging Clinical and Experimental Research, 30(1), 1-16.
Park, S. H., & Lee, Y. S. (2017). The diagnostic accuracy of the berg balance scale in predicting falls. Western Journal of Nursing Research, 39(11), 1502-1525.
Pereira, C. B., & Kanashiro, A. M. K. (2022). Falls in older adults: a practical approach. Arquivos de Neuro-psiquiatria, 80, 313-323.
Plisky, P. J., Gorman, P. P., Butler, R. J., Kiesel, K. B., Underwood, F. B., & Elkins, B. (2009). The reliability of an instrumented device for measuring components of the star excursion balance test. North American Journal of Sports Physical Therapy: NAJSPT, 4(2), 92.
Podsiadlo, D., & Richardson, S. (1991). The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. Journal of the American Geriatrics Society, 39(2), 142-148.
Rivolta, M. W., Aktaruzzaman, M., Rizzo, G., Lafortuna, C. L., Ferrarin, M., Bovi, G., ... & Sassi, R. (2019). Evaluation of the Tinetti score and fall risk assessment via accelerometry-based movement analysis. Artificial Intelligence in Medicine, 95, 38-47.
Rosa, M. V., Perracini, M. R., & Ricci, N. A. (2019). Usefulness, assessment and normative data of the functional reach test in older adults: a systematic review and meta-analysis. Archives of Gerontology and Geriatrics, 81, 149-170.
Rose, D. J., Jones, C. J., & Lucchese, N. (2002). Predicting the probability of falls in community-residing older adults using the 8-foot up-and-go: a new measure of functional mobility. Journal of Aging and Physical Activity, 10(4), 466-475.
Sarto F, Pizzichemi M, Chiossi F, Bisiacchi PS, Franchi MV, Narici MV, Monti E, Paoli A and Marcolin G (2022) Physical active lifestyle promotes static and dynamic balance performance in young and older adults. Front. Physiol. 13:986881. doi: 10.3389/fphys.2022.986881.
Schoene, D., Wu, S. M. S., Mikolaizak, A. S., Menant, J. C., Smith, S. T., Delbaere, K., & Lord, S. R. (2013). Discriminative ability and predictive validity of the timed up and go test in identifying older people who fall: systematic review and meta‐analysis. Journal of the American Geriatrics Society, 61(2), 202-208.
Scott, V., Votova, K., Scanlan, A., & Close, J. (2007). Multifactorial and functional mobility assessment tools for fall risk among older adults in community, home-support, long-term and acute care settings. Age and Ageing, 36(2), 130-139.
Shumway-Cook, A., Brauer, S., & Woollacott, M. (2000). Predicting the probability for falls in community-dwelling older adults using the Timed Up & Go Test. Physical Therapy, 80(9), 896-903.
Shumway-Cook, A., Baldwin, M., Polissar, N. L., & Gruber, W. (1997). Predicting the probability for falls in community-dwelling older adults. Physical Therapy, 77(8), 812-819.
Sipe, C. L., Ramey, K. D., Plisky, P. P., & Taylor, J. D. (2019). Y-balance test: A valid and reliable assessment in older adults. Journal of Aging and Physical Activity, 27(5), 663-669.
Spain, R. I., George, R. S., Salarian, A., Mancini, M., Wagner, J. M., Horak, F. B., & Bourdette, D. (2012). Body-worn motion sensors detect balance and gait deficits in people with multiple sclerosis who have normal walking speed. Gait & Posture, 35(4), 573-578.
Stevens, J. A., & Phelan, E. A. (2013). Development of STEADI: a fall prevention resource for health care providers. Health Promotion Practice, 14(5), 706-714.
Stolze, H., Kuhtz-Buschbeck, J. P., Mondwurf, C., Boczek-Funcke, A., Jöhnk, K., Deuschl, G., & Illert, M. (1997). Gait analysis during treadmill and overground locomotion in children and adults. Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control, 105(6), 490-497.
Subramaniam S, Faisal AI and Deen MJ (2022) Wearable sensor systems for fall risk assessment: A review. Front. Digit. Health 4:921506. doi: 10.3389/fdgth.2022.921506
Swanenburg, J., de Bruin, E. D., Uebelhart, D., & Mulder, T. (2010). Falls prediction in elderly people: a 1-year prospective study. Gait & Posture, 31(3), 317-321.
Tang, W., Fulk, G., Zeigler, S., Zhang, T., & Sazonov, E. (2019). Estimating berg balance scale and mini balance evaluation system test scores by using wearable shoe sensors. In 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) (pp. 1-4). IEEE.
Teasdale, N., Stelmach, G. E., & Breunig, A. (1991). Postural sway characteristics of the elderly under normal and altered visual and support surface conditions. Journal of Gerontology, 46(6), B238-B244.
Tiedemann, A., Shimada, H., Sherrington, C., Murray, S., & Lord, S. (2008). The comparative ability of eight functional mobility tests for predicting falls in community-dwelling older people. Age and Ageing, 37(4), 430-435.
Tiedemann, A., Lord, S. R., & Sherrington, C. (2010). The development and validation of a brief performance-based fall risk assessment tool for use in primary care. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences, 65(8), 896-903.
Tinetti, M. E., Speechley, M., & Ginter, S. F. (1988). Risk factors for falls among elderly persons living in the community. New England Journal of Medicine, 319(26), 1701-1707.
Tucker, C. A. (2014). Measuring walking a handbook of clinical gait analysis. Pediatric Physical Therapy, 26(4), 469.
Velázquez‐Pérez, L., Rodriguez‐Labrada, R., González‐Garcés, Y., Arrufat‐Pie, E., Torres‐Vega, R., Medrano‐Montero, J., ... & Gomez, C. M. (2021). Prodromal spinocerebellar ataxia type 2 subjects have quantifiable gait and postural sway deficits. Movement Disorders, 36(2), 471-480.
Verghese, J., Ambrose, A. F., Lipton, R. B., & Wang, C. (2010). Neurological gait abnormalities and risk of falls in older adults. Journal of Neurology, 257, 392-398.
Winter, D. A., Patla, A. E., Frank, J. S., & Walt, S. E. (1990). Biomechanical walking pattern changes in the fit and healthy elderly. Physical Therapy, 70(6), 340-347.
Y. Hutabarat, D. Owaki and M. Hayashibe, "Recent advances in quantitative gait analysis using wearable sensors: A review," IEEE Sensors Journal, vol. 21, no. 23, 26470-26487
Zijlstra, A., Ufkes, T., Skelton, D. A., Lundin-Olsson, L., & Zijlstra, W. (2008). Do dual tasks have an added value over single tasks for balance assessment in fall prevention programs? A mini-review. Gerontology, 54(1), 40-49.