A Comparative Evaluation of Inertial Sensors for Gait and Jump Analysis

被引:3
|
作者
Andrenacci, Isaia [1 ]
Boccaccini, Riccardo [1 ]
Bolzoni, Alice [1 ]
Colavolpe, Giulio [1 ]
Costantino, Cosimo [2 ]
Federico, Michelangelo [1 ]
Ugolini, Alessandro [1 ]
Vannucci, Armando [1 ]
机构
[1] Univ Parma, Dept Engn & Architecture DEA, I-43124 Parma, Italy
[2] Univ Parma, Dept Med & Surg, I-43126 Parma, Italy
关键词
inertial measurement unit; wearable sensors; gait analysis; MODEL; GO;
D O I
10.3390/s21185990
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Gait and jump anomalies are often used as indicators to identify the presence and state of disorders that involve motor symptoms. Physical tests are often performed in specialized laboratories, which offer reliable and accurate results, but require long and costly analyses performed by specialized personnel. The use of inertial sensors for gait and jump evaluation offers an easy-to-use low-cost alternative, potentially applicable by the patients themselves at home. In this paper, we compared three inertial measurement units that are available on the market by means of well-known standardized tests for the evaluation of gait and jump behavior. The aim of the study was to highlight the strengths and weaknesses of each of the tested sensors, considered in different tests, by comparing data collected on two healthy subjects. Data were processed to identify the phases of the movement and the possible inaccuracies of each sensor. The analysis showed that some of the considered inertial units could be reliably used to identify the gait and jump phases and could be employed to detect anomalies, potentially suggesting the presence of disorders.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Gait and Axial Spondyloarthritis: Comparative Gait Analysis Study Using Foot-Worn Inertial Sensors
    Soulard, Julie
    Vaillant, Jacques
    Baillet, Athan
    Gaudin, Philippe
    Vuillerme, Nicolas
    [J]. JMIR MHEALTH AND UHEALTH, 2021, 9 (11):
  • [2] Gait Analysis Using Floor Markers and Inertial Sensors
    Tri Nhut Do
    Suh, Young Soo
    [J]. SENSORS, 2012, 12 (02) : 1594 - 1611
  • [3] Evaluation of Hemiplegic Gait Based on Plantar Pressure and Inertial Sensors
    Pan, Zewei
    Gao, Huigang
    Chen, Yan
    Xie, Zekun
    Xie, Longhan
    [J]. IEEE SENSORS JOURNAL, 2023, 23 (11) : 12008 - 12017
  • [4] Experimental evaluation of indoor magnetic distortion effects on gait analysis performed with wearable inertial sensors
    Palermo, E.
    Rossi, S.
    Patane, F.
    Cappa, P.
    [J]. PHYSIOLOGICAL MEASUREMENT, 2014, 35 (03) : 399 - 415
  • [5] Gait Analysis Based on Magnetometer and Inertial Sensors Data Fusion
    Lu, Jiazhen
    Guo, Yuliang
    Liu, Haiqiao
    Gao, Junyang
    [J]. IEEE SENSORS JOURNAL, 2022, 22 (18) : 18056 - 18065
  • [6] Quantitative Analysis of Abnormal and Normal Gait based on Inertial Sensors
    Li, Jinxiao
    Wang, Zhelong
    Shi, Xin
    Qiu, Sen
    Zhao, Hongyu
    Guo, Ming
    [J]. PROCEEDINGS OF THE 2018 IEEE 22ND INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN ((CSCWD)), 2018, : 365 - 370
  • [7] An effective method of gait stability analysis using inertial sensors
    Hong, Sung Kyung
    Bae, Jinhyung
    Lee, Sug-Chon
    Kim, Jung-Yup
    Lee, Kwon-Yong
    [J]. MICAI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4293 : 1220 - +
  • [8] Multimodal Gait Analysis based on Wearable Inertial and Microphone Sensors
    Wang, Cheng
    Wang, Xiangdong
    Long, Zhou
    Yuan, Jing
    Qian, Yueling
    Li, Jintao
    [J]. 2017 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTED, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI), 2017,
  • [9] Inertial Sensors and Wavelets Analysis as a Tool for Pathological Gait Identification
    Glowinski, Sebastian
    Blazejewski, Andrzej
    Krzyzynski, Tomasz
    [J]. INNOVATIONS IN BIOMEDICAL ENGINEERING, 2017, 526 : 106 - 114
  • [10] A Trial of Making Reference Gait Data for Simple Gait Evaluation System with Wireless Inertial Sensors
    Karasawa, Yuta
    Teruyama, Yuta
    Watanabe, Takashi
    [J]. 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 3431 - 3434