Wearable Knee Health Rehabilitation Assessment using Acoustical Emissions

被引:6
|
作者
Teague, Caitlin N. [1 ]
Hersekl, Sinan [1 ]
Conant, Jordan L. [1 ]
Gilliland, Scott M. [2 ]
Inanl, Omer T. [1 ,3 ]
机构
[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30308 USA
[2] Georgia Inst Technol, Interact Media Technol Ctr, Atlanta, GA 30308 USA
[3] Georgia Inst Technol, Wallace H Coulter Dept Biomed Engn, Atlanta, GA 30308 USA
关键词
CLASSIFICATION; SOUND;
D O I
10.1063/1.4974623
中图分类号
O59 [应用物理学];
学科分类号
摘要
We have developed a novel, wearable sensing system based on miniature piezoelectric contact microphones for measuring the acoustical emissions from the knee during movement. The system consists of two contact microphones, positioned on the medial and lateral sides of the patella, connected to custom, analog pre-amplifier circuits and a microcontroller for digitization and data storage on a secure digital card. In addition to the acoustical sensing, the system includes two integrated inertial measurement sensors including accelerometer and gyroscope modalities to enable joint angle calculations; these sensors, with digital outputs, are connected directly to the same microcontroller. The system provides low noise, accurate joint acoustical emission and angle measurements in a wearable form factor and has several hours of battery life.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] An inflatable soft wearable knee rehabilitation device: Design, fabrication, control and preliminary evaluation
    Kabir, Parsa
    Zareinejad, Mohammad
    Talebi, Heidar Ali
    Soleimanifar, Manijeh
    MECHATRONICS, 2024, 102
  • [42] A wearable knee rehabilitation system based on graphene textile composite sensor: Implementation and validation
    Shen, Cheng
    Pei, Zhongcai
    Chen, Weihai
    Zhou, Yi
    Wang, Jianhua
    Wu, Xingming
    Chen, Jianer
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 136
  • [43] A Wearable Sensing and Training System: Towards Gait Rehabilitation for Elderly Patients With Knee Osteoarthritis
    He, Zexia
    Liu, Tao
    Yi, Jingang
    IEEE SENSORS JOURNAL, 2019, 19 (14) : 5936 - 5945
  • [44] Design Advancements toward a Wearable Pediatric Robotic Knee Exoskeleton for Overground Gait Rehabilitation
    Chen, Ji
    Hochstein, Jon
    Kim, Christina
    Damiano, Diane
    Bulea, Thomas
    2018 7TH IEEE INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB2018), 2018, : 37 - 42
  • [45] Wearable Intelligent Machine Learning Rehabilitation Assessment for Stroke Patients Compared with Clinician Assessment
    Guo, Liquan
    Zhang, Bochao
    Wang, Jiping
    Wu, Qunqiang
    Li, Xinming
    Zhou, Linfu
    Xiong, Daxi
    JOURNAL OF CLINICAL MEDICINE, 2022, 11 (24)
  • [46] Rehabilitation robotics:: a wearable exo-skeleton for tremor assessment and suppression
    Rocon, E
    Ruiz, A
    Pons, JL
    Belda-Lois, JM
    Sánchez-Lacuesta, JJ
    2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-4, 2005, : 2271 - 2276
  • [47] Accurate Prediction of Knee Angles during Open-Chain Rehabilitation Exercises Using a Wearable Array of Nanocomposite Stretch Sensors
    Wood, David S.
    Jensen, Kurt
    Crane, Allison
    Lee, Hyunwook
    Dennis, Hayden
    Gladwell, Joshua
    Shurtz, Anne
    Fullwood, David T.
    Seeley, Matthew K.
    Mitchell, Ulrike H.
    Christensen, William F.
    Bowden, Anton E.
    SENSORS, 2022, 22 (07)
  • [48] Reliability of wearable sensors-based parameters for the assessment of knee stability
    Baldazzi, Andrea
    Molinaro, Luca
    Taborri, Juri
    Margheritini, Fabrizio
    Rossi, Stefano
    Bergamini, Elena
    PLOS ONE, 2022, 17 (09):
  • [49] Knee rehabilitation using an intelligent robotic system
    Akdogan, Erhan
    Tacgin, Ertugrul
    Adli, M. Arif
    JOURNAL OF INTELLIGENT MANUFACTURING, 2009, 20 (02) : 195 - 202
  • [50] Knee rehabilitation using an intelligent robotic system
    Erhan Akdoğan
    Ertuğrul Taçgın
    M. Arif Adli
    Journal of Intelligent Manufacturing, 2009, 20