These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
109 related articles for article (PubMed ID: 24235319)
81. Identifying Depression in the Elderly Using Gait Accelerometry. Jung D; Kim J; Mun KR Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():4946-4949. PubMed ID: 36086152 [TBL] [Abstract][Full Text] [Related]
82. Gait assessment using the Kinect RGB-D sensor. Zhao J; Bunn FE; Perron JM; Shen E; Allison RS Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():6679-83. PubMed ID: 26737825 [TBL] [Abstract][Full Text] [Related]
83. Two-threshold energy based fall detection using a triaxial accelerometer. Sucerquia A; Lopez JD; Vargas F Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3101-3104. PubMed ID: 28268967 [TBL] [Abstract][Full Text] [Related]
84. A comparison of public datasets for acceleration-based fall detection. Igual R; Medrano C; Plaza I Med Eng Phys; 2015 Sep; 37(9):870-8. PubMed ID: 26233258 [TBL] [Abstract][Full Text] [Related]
85. Artificial Neural Networks as an alternative to traditional fall detection methods. Vallejo M; Isaza CV; López JD Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():1648-51. PubMed ID: 24110020 [TBL] [Abstract][Full Text] [Related]
86. Affordable, automatic quantitative fall risk assessment based on clinical balance scales and Kinect data. Colagiorgio P; Romano F; Sardi F; Moraschini M; Sozzi A; Bejor M; Ricevuti G; Buizza A; Ramat S Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3500-3. PubMed ID: 25570745 [TBL] [Abstract][Full Text] [Related]
87. Variations in gait features in elderly adults during walking considering their balance. Choi HJ; Kim HS; Ryu J; Kim G; Ko CY Biomed Eng Lett; 2017 Nov; 7(4):333-338. PubMed ID: 30603184 [TBL] [Abstract][Full Text] [Related]
88. Beat-by-Beat Quantification of Cardiac Cycle Events Detected From Three-Dimensional Precordial Acceleration Signals. Paukkunen M; Parkkila P; Hurnanen T; Pänkäälä M; Koivisto T; Nieminen T; Kettunen R; Sepponen R IEEE J Biomed Health Inform; 2016 Mar; 20(2):435-9. PubMed ID: 25594987 [TBL] [Abstract][Full Text] [Related]
89. Linear-Sigmoidal modelling of accelerometer features and Tinetti score for automatic fall risk assessment. Rivolta MW; Sassi R Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3810-3813. PubMed ID: 29060728 [TBL] [Abstract][Full Text] [Related]
90. Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning. Nassajpour M; Shuqair M; Rosenfeld A; Tolea MI; Galvin JE; Ghoraani B Front Digit Health; 2024; 6():1366176. PubMed ID: 38707195 [TBL] [Abstract][Full Text] [Related]
91. Estimating balance, cognitive function, and falls risk using wearable sensors and the sit-to-stand test. Greene BR; Doheny EP; McManus K; Caulfield B Wearable Technol; 2022; 3():e9. PubMed ID: 38486905 [TBL] [Abstract][Full Text] [Related]
92. Accelerometry applications and methods to assess standing balance in older adults and mobility-limited patient populations: a narrative review. Bohlke K; Redfern MS; Rosso AL; Sejdic E Aging Clin Exp Res; 2023 Oct; 35(10):1991-2007. PubMed ID: 37526887 [TBL] [Abstract][Full Text] [Related]
93. Wearable Sensor Systems for Fall Risk Assessment: A Review. Subramaniam S; Faisal AI; Deen MJ Front Digit Health; 2022; 4():921506. PubMed ID: 35911615 [TBL] [Abstract][Full Text] [Related]
94. Automatic Recognition and Analysis of Balance Activity in Community-Dwelling Older Adults: Algorithm Validation. Hsu YC; Wang H; Zhao Y; Chen F; Tsui KL J Med Internet Res; 2021 Dec; 23(12):e30135. PubMed ID: 34932008 [TBL] [Abstract][Full Text] [Related]
95. Sensor-Based Fall Risk Assessment: A Survey. Zhao G; Chen L; Ning H Healthcare (Basel); 2021 Oct; 9(11):. PubMed ID: 34828494 [TBL] [Abstract][Full Text] [Related]
96. Analyzing the Use of Accelerometers as a Method of Early Diagnosis of Alterations in Balance in Elderly People: A Systematic Review. Leirós-Rodríguez R; García-Soidán JL; Romo-Pérez V Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31505828 [TBL] [Abstract][Full Text] [Related]
97. Novel sensing technology in fall risk assessment in older adults: a systematic review. Sun R; Sosnoff JJ BMC Geriatr; 2018 Jan; 18(1):14. PubMed ID: 29338695 [TBL] [Abstract][Full Text] [Related]