WEARABLE GAIT DEVICE FOR LONG-TERM MONITORING

被引:0
|
作者
Caciula, Ion [1 ]
Ionita, Giorgian Marius [1 ]
Coanda, Henri George [1 ]
Coltuc, Dinu [1 ]
Angelescu, Nicoleta [1 ]
Albu, Felix [1 ]
Hagiescu, Daniela [2 ]
机构
[1] Valahia Univ Targoviste, Dept Elect Telecommun & Energy Engn, Targoviste 130004, Romania
[2] Adv Slisys SRL, Bucharest 060104, Romania
来源
JOURNAL OF SCIENCE AND ARTS | 2023年 / 03期
关键词
Gait monitoring; data acquisition; ESP32; microcontroller; ICM-20948; module; power consumption; convolutional neural networks;
D O I
10.46939/J.Sci.Arts-23.3-c01
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study describes a low-cost and easy to deploy gait monitoring system that uses an ESP32 microcontroller and an ICM-20948 module. The ESP32 microcontroller collects data from the ICM-20948 module and these data are used to train a convolutional neural network (CNN) to classify gait patterns into two categories: normal and pathological. The results show that the system can achieve a high accuracy for binary gait classification, being able to correctly classify 97.05% of the normal gait samples and 84.54% of the pathological gait samples. The power consumption of the devive was measured using a calibrated and dual-acquisition digital multimeter. The estimated operating time was around 12 hours, with a battery capacity of 1800 mAh LiPo type. Therefore, it could be used to track the gait of patients with neurological disorders or to assess the effectiveness of gait rehabilitation treatments.
引用
收藏
页码:791 / 802
页数:12
相关论文
共 50 条
  • [1] A Wearable Device for Online and Long-Term ECG Monitoring
    Longoni, Marco
    Carrera, Diego
    Rossi, Beatrice
    Fragneto, Pasqualina
    Pessione, Marco
    Boracchi, Giacomo
    PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2018, : 5838 - 5840
  • [2] Long-term Monitoring Gait Analysis Using a Wearable Device in Daily Lives of Patients with Parkinson's Disease: The Efficacy of Selegiline Hydrochloride for Gait Disturbance
    Iijima, Mutsumi
    Mitoma, Hiroshi
    Uchiyama, Shinichiro
    Kitagawa, Kazuo
    FRONTIERS IN NEUROLOGY, 2017, 8
  • [3] LONG-TERM GAIT SPEED IMPROVEMENT IN STROKE SURVIVORS AFTER TREATMENT WITH A WEARABLE GAIT DEVICE: EMERGING PATTERNS OF GAIT SPEED CHANGE
    Darcy, B.
    Rashford, L.
    Shultz, S. T.
    Huizenga, D.
    Bamberg, S.
    INTERNATIONAL JOURNAL OF STROKE, 2021, 16 (2_SUPPL) : 60 - 60
  • [4] First clinical experience with the wearable cardiac rhythm long-term monitoring cardioskin device
    Guedeney, P.
    Silvain, J.
    Hidden-Lucet, F.
    Maupain, C.
    Dinanian, S.
    Waintraub, X.
    Gandjbakhch, E.
    Montalescot, G.
    EUROPEAN HEART JOURNAL, 2020, 41 : 3464 - 3464
  • [5] Feasibility of Long-Term Daily Life Electrocardiogram Monitoring Based on a Wearable Armband Device
    Lazaro, Jesus
    Reljin, Natasa
    Noh, Yeonsik
    Laguna, Pablo
    Chon, Ki H.
    2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 4314 - 4317
  • [6] Mobile wearable device for long term monitoring of vital signs
    Klingeberg, T.
    Schilling, M.
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2012, 106 (02) : 89 - 96
  • [7] A fully integrated wearable electronic device with breathable and washable properties for long-term health monitoring
    Zhang, Huiqing
    He, Rongyan
    Liu, Hao
    Niu, Yan
    Li, Zedong
    Han, Fei
    Li, Jing
    Zhang, Xiongwen
    Xu, Feng
    SENSORS AND ACTUATORS A-PHYSICAL, 2021, 322 (322)
  • [8] Small-form wearable device for long-term monitoring of cardiac sounds on the body surface
    Rosa, Bruno Gil
    Anastasova, Salzitsa
    Lo, Benny
    2021 IEEE 17TH INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN), 2021,
  • [9] Long-term activity monitoring with a wearable sensor node
    Van Laerhoven, Kristof
    Gellersen, Hans-W.
    Malliaris, Yanni G.
    BSN 2006: INTERNATIONAL WORKSHOP ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS, PROCEEDINGS, 2006, : 171 - 174
  • [10] Long-term monitoring of gait in Parkinson's disease
    Moore, Steven T.
    MacDougall, Hamish G.
    Gracies, Jean-Michel
    Cohen, Helen S.
    Ondo, William G.
    GAIT & POSTURE, 2007, 26 (02) : 200 - 207