Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis-A Scoping Review

被引:49
|
作者
Kobsar, Dylan [1 ]
Masood, Zaryan [1 ]
Khan, Heba [1 ]
Khalil, Noha [1 ]
Kiwan, Marium Yossri [1 ]
Ridd, Sarah [2 ]
Tobis, Matthew [1 ]
机构
[1] McMaster Univ, Fac Sci, Dept Kinesiol, Hamilton, ON L8S 4L8, Canada
[2] McMaster Univ, Dept Psychol Neurosci & Behav, Fac Sci, Hamilton, ON L8S 4L8, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
inertial sensors; wearable technology; osteoarthritis; gait; biomechanics; walking; review; TOTAL KNEE ARTHROPLASTY; TOTAL ANKLE REPLACEMENT; LOWER-LIMB KINEMATICS; ADDUCTION MOMENT; MOUNTED ACCELEROMETERS; CLINICAL-EVALUATION; HIP OSTEOARTHRITIS; FLEXION MOMENTS; OLDER-ADULTS; BASE-LINE;
D O I
10.3390/s20247143
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Our objective was to conduct a scoping review which summarizes the growing body of literature using wearable inertial sensors for gait analysis in lower limb osteoarthritis. We searched six databases using predetermined search terms which highlighted the broad areas of inertial sensors, gait, and osteoarthritis. Two authors independently conducted title and abstract reviews, followed by two authors independently completing full-text screenings. Study quality was also assessed by two independent raters and data were extracted by one reviewer in areas such as study design, osteoarthritis sample, protocols, and inertial sensor outcomes. A total of 72 articles were included, which studied the gait of 2159 adults with osteoarthritis (OA) using inertial sensors. The most common location of OA studied was the knee (n = 46), followed by the hip (n = 22), and the ankle (n = 7). The back (n = 41) and the shank (n = 40) were the most common placements for inertial sensors. The three most prevalent biomechanical outcomes studied were: mean spatiotemporal parameters (n = 45), segment or joint angles (n = 33), and linear acceleration magnitudes (n = 22). Our findings demonstrate exceptional growth in this field in the last 5 years. Nevertheless, there remains a need for more longitudinal study designs, patient-specific models, free-living assessments, and a push for "Code Reuse" to maximize the unique capabilities of these devices and ultimately improve how we diagnose and treat this debilitating disease.
引用
收藏
页码:1 / 24
页数:24
相关论文
共 50 条
  • [11] Reliability of gait analysis using wearable sensors in patients with knee osteoarthritis
    Kobsar, Dylan
    Osis, Sean T.
    Phinyomark, Angkoon
    Boyd, Jeffrey E.
    Ferber, Reed
    JOURNAL OF BIOMECHANICS, 2016, 49 (16) : 3977 - 3982
  • [12] Improving the reliability of underwater gait analysis using wearable pressure and inertial sensors
    Monoli, Cecilia
    Galli, Manuela
    Tuhtan, Jeffrey A.
    PLOS ONE, 2024, 19 (03):
  • [13] Wearable inertial sensors in swimming motion analysis: a systematic review
    de Magalhaes, Fabricio Anicio
    Vannozzi, Giuseppe
    Gatta, Giorgio
    Fantozzi, Silvia
    JOURNAL OF SPORTS SCIENCES, 2015, 33 (07) : 732 - 745
  • [14] Objective Measures of Ataxic Gait Using Wearable Inertial Sensors
    El-Gohary, M.
    Horak, L.
    Gomez, C.
    MOVEMENT DISORDERS, 2018, 33 : S292 - S292
  • [15] Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review
    Chen, Shanshan
    Lach, John
    Lo, Benny
    Yang, Guang-Zhong
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2016, 20 (06) : 1521 - 1537
  • [16] Objective gait assessment in individuals with knee osteoarthritis using inertial sensors: A systematic review and meta-analysis
    Boekesteijn, R. J.
    van Gerven, J.
    Geurts, A. C. H.
    Smulders, K.
    GAIT & POSTURE, 2022, 98 : 109 - 120
  • [17] Gait Analysis Using Wearable Sensors
    Tao, Weijun
    Liu, Tao
    Zheng, Rencheng
    Feng, Hutian
    SENSORS, 2012, 12 (02) : 2255 - 2283
  • [18] Gait Analysis Using Wearable Sensors
    Bhosale, Tanmav
    Kudale, Hemant
    Kumthekar, Varun
    Garude, Shreyash
    Dhumal, Prasad
    2015 INTERNATIONAL CONFERENCE ON ENERGY SYSTEMS AND APPLICATIONS, 2015, : 267 - 269
  • [19] Gait characterization for osteoarthritis patients using wearable gait sensors (H-Gait systems)
    Tadano, Shigeru
    Takeda, Ryo
    Sasaki, Keita
    Fujisawa, Tadashi
    Tohyama, Harukazu
    JOURNAL OF BIOMECHANICS, 2016, 49 (05) : 684 - 690
  • [20] Estimation of Step Length and Gait Asymmetry Using Wearable Inertial Sensors
    Wang, Lei
    Sun, Yun
    Li, Qingguo
    Liu, Tao
    IEEE SENSORS JOURNAL, 2018, 18 (09) : 3844 - 3851