A Proposal for Long-Term Gait Monitoring in Assisted Living Environments Based on an Inertial Sensor Infrastructure

被引:1
|
作者
Gonzalez, Ivan [1 ]
Fontecha, Jesus [1 ]
Hervas, Ramon [1 ]
Naranjo, Mercedes [1 ]
Bravo, Jose [1 ]
机构
[1] Univ Castilla La Mancha, E-13071 Ciudad Real, Spain
关键词
Gait analysis; Long-term gait monitoring; IoT; Assisted Living Environment; Heel-strike estimation; Trunk accelerations;
D O I
10.1007/978-3-319-48746-5_31
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Clinical gait analysis provides an evaluation tool that allows clinicians to characterize person's locomotion at a particular time. There are currently specialized systems to detect gait events and compute spatio-temporal parameters of human gait, which are accurate and redundant. These systems are expensive and are limited to controlled settings with gait evaluations widely spaced in terms of time. As alternative, a proposal for long-term gait monitoring in Assisted Living Environments based on an infrastructure of wireless inertial sensors is presented. Specifically, heel-strike events will be identified in multiple elders in a rest home and throughout the day. A small wearable device composed of a single inertial measurement unit will be placed at the back of each elder, on the thoracic zone, capturing trunk accelerations and orientations which will enable the demarcation of heel-strike events and the computation of temporal gait parameters. This proposal attempts to contribute to the development of a less intrusive and reachable alternative for long-term gait monitoring of multiple residents, which has been poorly investigated.
引用
收藏
页码:300 / 305
页数:6
相关论文
共 50 条
  • [31] An RFID-based On-lens Sensor System for Long-Term IOP Monitoring
    Hsu, Shun-Hsi
    Chiou, Jin-Chern
    Liao, Yu-Te
    Yang, Tzu-Sen
    Kuei, Cheng-Kai
    Wu, Tsung-Wei
    Huang, Yu-Chieh
    2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 7526 - 7529
  • [32] Methodological Proposal for the Adaptation of the Living with Long-Term Conditions Scale to the Family Caregiver
    Marin-Maicas, Patricia
    Portillo, Mari Carmen
    Corchon, Silvia
    Ambrosio, Leire
    NURSING REPORTS, 2024, 14 (01) : 532 - 544
  • [33] A Wearable Inertial Measurement Unit for Long-Term Monitoring in the Dependency Care Area
    Rodriguez-Martin, Daniel
    Perez-Lopez, Carlos
    Sama, Albert
    Cabestany, Joan
    Catala, Andreu
    SENSORS, 2013, 13 (10) : 14079 - 14104
  • [34] Multimodality Sensor System for Long-Term Sleep Quality Monitoring
    Peng, Ya-Ti
    Lin, Ching-Yung
    Sun, Ming-Ting
    Landis, Carol A.
    IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2007, 1 (03) : 217 - 227
  • [35] Long-term monitoring of respiration with a mediastinal pressure sensor in dogs
    Goding, GS
    Eisele, DW
    Christopherson, MA
    Schwartz, AR
    Testerman, RL
    ANNALS OF OTOLOGY RHINOLOGY AND LARYNGOLOGY, 2001, 110 (03): : 215 - 220
  • [36] Medical-Grade ECG Sensor for Long-Term Monitoring
    Rashkovska, Aleksandra
    Depolli, Matjaz
    Tomasic, Ivan
    Avbelj, Viktor
    Trobec, Roman
    SENSORS, 2020, 20 (06)
  • [37] Wireless Sensor Networks for Long-Term Monitoring of Urban Noise
    Peckens, Courtney
    Porter, Cedric
    Rink, Taylor
    SENSORS, 2018, 18 (09)
  • [38] Flexible Miniaturized Sensor Technologies for Long-Term Physiological Monitoring
    He, Rongyan
    Liu, Hao
    Niu, Yan
    Zhang, Huiqing
    Genin, Guy M.
    Xu, Feng
    NPJ FLEXIBLE ELECTRONICS, 2022, 6 (01)
  • [39] Long-term monitoring of cable stays with a wireless sensor network
    Feltrin, Glauco
    Meyer, Jonas
    Bischoff, Reinhard
    Motavalli, Masoud
    STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2010, 6 (05) : 535 - 548
  • [40] Flexible Miniaturized Sensor Technologies for Long-Term Physiological Monitoring
    Rongyan He
    Hao Liu
    Yan Niu
    Huiqing Zhang
    Guy M. Genin
    Feng Xu
    npj Flexible Electronics, 6