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

被引:50
|
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
  • [31] Wearable inertial sensors for human movement analysis
    Iosa, Marco
    Picerno, Pietro
    Paolucci, Stefano
    Morone, Giovanni
    EXPERT REVIEW OF MEDICAL DEVICES, 2016, 13 (07) : 641 - 659
  • [32] Normative database of spatiotemporal gait parameters using inertial sensors in typically developing children and young adults
    Voss, Stephanie
    Joyce, Jessica
    Biskis, Alexandras
    Parulekar, Medha
    Armijo, Nicholas
    Zampieri, Cris
    Tracy, Rachel
    Palmer, Alexandra Sasha
    Fefferman, Marie
    Ouyang, Bichun
    Liu, Yuanqing
    Berry-Kravis, Elizabeth
    O'Keefe, Joan A.
    GAIT & POSTURE, 2020, 80 : 206 - 213
  • [33] Wearable Sensor for Assessing Gait and Postural Alterations in Patients with Diabetes: A Scoping Review
    Brognara, Lorenzo
    Mazzotti, Antonio
    Di Martino, Alberto
    Faldini, Cesare
    Cauli, Omar
    MEDICINA-LITHUANIA, 2021, 57 (11):
  • [34] A Wearable Magneto-Inertial System for Gait Analysis (H-Gait): Validation on Normal Weight and Overweight/Obese Young Healthy Adults
    Agostini, Valentina
    Gastaldi, Laura
    Rosso, Valeria
    Knaflitz, Marco
    Tadano, Shigeru
    SENSORS, 2017, 17 (10)
  • [35] Gait asymmetrical evaluation of lower limb amputees using wearable inertial sensors
    Maqbool, Hafiz Farhan
    Mahmood, Imran
    Ali, Ahmad
    Iqbal, Nadeem
    Seong, Jin-Taek
    Dehghani-Sanij, Abbas Ali
    Alaziz, Sundas Naji
    Awad, Mohammed Ibrahim
    HELIYON, 2024, 10 (12)
  • [36] Developments in Smart Multi-Function Gait Assistive Devices for the Prevention and Treatment of Knee Osteoarthritis-A Literature Review
    Nagano, Hanatsu
    Sparrow, William
    Begg, Rezaul
    APPLIED SCIENCES-BASEL, 2021, 11 (22):
  • [37] A review of foot pose and trajectory estimation methods using inertial and auxiliary sensors for kinematic gait analysis
    Okkalidis, Nikiforos
    Camilleri, Kenneth P.
    Gatt, Alfred
    Bugeja, Marvin K.
    Falzon, Owen
    BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2020, 65 (06): : 653 - 671
  • [38] Gait analysis in children with cerebral palsy via inertial and magnetic sensors
    van den Noort, Josien C.
    Ferrari, Alberto
    Cutti, Andrea G.
    Becher, Jules G.
    Harlaar, Jaap
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2013, 51 (04) : 377 - 386
  • [39] Inertial sensors versus standard systems in gait analysis: a systematic review and meta-analysis
    Petraglia, Federica
    Scarcella, Luca
    Pedrazzi, Giuseppe
    Brancato, Luigi
    Puers, Robert
    Costantino, Cosimo
    EUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE, 2019, 55 (02) : 265 - 280
  • [40] Gait Analysis Using Floor Markers and Inertial Sensors
    Tri Nhut Do
    Suh, Young Soo
    SENSORS, 2012, 12 (02) : 1594 - 1611