Sarcopenia screening based on the assessment of gait with inertial measurement units: a systematic review

被引:0
|
作者
Perez-Lasierra, Jose Luis [1 ,2 ]
Azpiroz-Puente, Marina [1 ]
Alfaro-Santafe, Jose-Victor [1 ,3 ]
Almenar-Arasanz, Alejandro-Jesus [1 ,2 ]
Alfaro-Santafe, Javier [1 ,3 ]
Gomez-Bernal, Antonio [1 ,3 ]
机构
[1] Podoact Res & Dev Dept, Biomech Unit, Parque Tecnol Walqa Ctra N330a Km 566, Cuarte, Huesca, Spain
[2] Univ San Jorge, Fac Ciencias Salud, Villanueva de Gallego 50830, Zaragoza, Spain
[3] Manresa Univ, Dept Podiatry, Fac Hlth Sci, Manresa, Spain
关键词
IMU; Wearable sensor; Gait analysis; Explainable Artificial Intelligence; Machine learning; WALKING SPEED; CONSENSUS;
D O I
10.1186/s12877-024-05475-3
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
BackgroundGait variables assessed by inertial measurement units (IMUs) show promise as screening tools for aging-related diseases like sarcopenia. The main aims of this systematic review were to analyze and synthesize the scientific evidence for screening sarcopenia based on gait variables assessed by IMUs, and also to review articles that investigated which gait variables assessed by IMUs were related to sarcopenia.MethodsSix electronic databases (PubMed, SportDiscus, Web of Science, Cochrane Library, Scopus and IEEE Xplore) were searched for journal articles related to gait, IMUs and sarcopenia. The search was conducted until December 5, 2023. Titles, abstracts and full-length texts for studies were screened to be included.ResultsA total of seven articles were finally included in this review. Despite some methodological variability among the included studies, IMUs demonstrated potential as effective tools for detecting sarcopenia when coupled with artificial intelligence (AI) models, which outperformed traditional statistical methods in classification accuracy. The findings suggest that gait variables related to the stance phase such as stance duration, double support time, and variations between feet, are key indicators of sarcopenia.ConclusionsIMUs could be useful tools for sarcopenia screening based on gait analysis, specifically when artificial intelligence is used to process the recorded data. However, more development and research in this field is needed to provide an effective screening tool for doctors and health systems.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Validation of Inertial Monitoring Units for Gait Assessment in Progressive Supranuclear Palsy
    Blazek, A.
    Hogen, C.
    Whitwell, J.
    Josephs, K.
    Kaufman, K.
    Ali, F.
    MOVEMENT DISORDERS, 2024, 39 : S39 - S40
  • [32] Assessment of walking quality by using Inertial Measurement Units
    Saito, K.
    Zecca, M.
    Sessa, S.
    Lin, Z.
    Bartolomeo, L.
    Cosentino, S.
    Petersen, K.
    Ishii, H.
    Ikai, T.
    Takanishi, A.
    2012 FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE ENGINEERING SYSTEMS (ICIES), 2012, : 13 - 18
  • [33] Assessment of varus thrust using inertial measurement units
    Murro, Millissia A.
    Mihy, Julien A.
    Wagatsuma, Mayumi
    Hafer, Jocelyn F.
    CLINICAL BIOMECHANICS, 2025, 122
  • [34] Thigh Motion-Based Gait Analysis for Human Identification using Inertial Measurement Units (IMUs)
    Asuncion, Lloyd Vincent R.
    De Mesa, Joan Xyrel P.
    Juan, Patrick Kyle H.
    Sayson, Nathaniel T.
    Dela Cruz, Angelo R.
    2018 IEEE 10TH INTERNATIONAL CONFERENCE ON HUMANOID, NANOTECHNOLOGY, INFORMATION TECHNOLOGY, COMMUNICATION AND CONTROL, ENVIRONMENT AND MANAGEMENT (HNICEM), 2018,
  • [35] Gait Recognition and Assistance Parameter Prediction Determination Based on Kinematic Information Measured by Inertial Measurement Units
    Xiang, Qian
    Wang, Jiaxin
    Liu, Yong
    Guo, Shijie
    Liu, Lei
    BIOENGINEERING-BASEL, 2024, 11 (03):
  • [36] Reliability of running gait variability measures calculated from inertial measurement units
    Jones, Ben. D. M.
    Wheat, Jon
    Middleton, Kane
    Carey, David L.
    Heller, Ben
    JOURNAL OF BIOMECHANICS, 2025, 180
  • [37] Gait Patterns in Standard Scenarios Using Xsens MTw Inertial Measurement Units
    Loose, Harald
    Orlowski, Katja
    2015 16th International Conference on Research and Education in Mechatronics (REM), 2015, : 296 - 300
  • [38] Concurrent Validity Of Inertial Measurement Units To Measure Joint Angles During Gait
    Vargo, Brendal
    Franklin, Shannon
    Tometich, Nathan
    Chinworth, Susan
    Vallabhajosula, Srikant
    MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2022, 54 (09) : 557 - 558
  • [39] Wearable Inertial Measurement Units for Assessing Gait in Real-World Environments
    Renggli, David
    Graf, Christina
    Tachatos, Nikolaos
    Singh, Navrag
    Meboldt, Mirko
    Taylor, William R.
    Stieglitz, Lennart
    Schmid Daners, Marianne
    FRONTIERS IN PHYSIOLOGY, 2020, 11
  • [40] Evaluation of inertial measurement units as a novel method for kinematic gait evaluation in dogs
    Duerr, Felix M.
    Pauls, Alexandra
    Kawcak, Chris
    Haussler, Kevin K.
    Bertocci, Gina
    Moorman, Valerie
    King, Melissa
    VETERINARY AND COMPARATIVE ORTHOPAEDICS AND TRAUMATOLOGY, 2016, 29 (06) : 475 - 483