IEEE802.15.6-based Multi-Accelerometer WBAN System for Monitoring Parkinson's Disease

被引:0
|
作者
Keranen, Niina [1 ]
Sarestoniemi, Mariella [2 ]
Partala, Juha [3 ]
Hamalainen, Matti [2 ]
Reponen, Jarmo [4 ,5 ]
Seppanen, Tapio [3 ]
Iinatti, Jan [2 ]
Jamsa, Timo [1 ]
机构
[1] Univ Oulu, Dept Med Technol, SF-90100 Oulu, Finland
[2] Univ Oulu, Ctr Wirless Commun, Oulu, Finland
[3] Univ Oulu, Dept Comp Sci & Engn, Oulu, Finland
[4] Univ Oulu, FinnTelemedicum, Oulu, Finland
[5] Raahe Hosp, Raahe, Finland
关键词
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In this paper we present a detailed example of a wireless body area network (WBAN) scenario utilizing the recent IEEE802.15.6 standard as applied to a multi-accelerometer system for monitoring Parkinson's disease and fall detection. Ultra wideband physical layer and standard security protocols are applied to meet application requirements for data rate and security.
引用
收藏
页码:1656 / 1659
页数:4
相关论文
共 50 条
  • [1] Receiver performance evaluation on IEEE 802.15.6 based WBAN for monitoring Parkinson's disease
    Sarestoniemi, Mariella
    Niemela, Ville
    Hamalainen, Matti
    Iinatti, Jari
    Keranen, Niina
    Jamsa, Timo
    Partala, Juha
    Seppanen, Tapio
    Reponen, Jarmo
    2014 8TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION AND COMMUNICATION TECHNOLOGY (ISMICT), 2014,
  • [2] Multi-User ECG Monitoring System based on IEEE Standard 802.15.6
    Galli, Alessandra
    Giorgi, Giada
    Narduzzi, Claudio
    2019 IEEE INTERNATIONAL SYMPOSIUM ON MEASUREMENTS & NETWORKING (M&N 2019), 2019,
  • [3] A QoS based comparative analysis of the IEEE standards 802.15.4 & 802.15.6 in WBAN-based healthcare monitoring systems
    Nabila, Azdad
    Mohamed, El Boukhari
    2019 INTERNATIONAL CONFERENCE ON WIRELESS TECHNOLOGIES, EMBEDDED AND INTELLIGENT SYSTEMS (WITS), 2019,
  • [4] Performance Evaluation of a Quality of Service Control Scheme in Multi-Hop WBAN Based on IEEE 802.15.6
    Takabayashi, Kento
    Tanaka, Hirokazu
    Sugimoto, Chika
    Sakakibara, Katsumi
    Kohno, Ryuji
    SENSORS, 2018, 18 (11)
  • [5] Patient-dependent Freezing of Gait Detection using Signals from Multi-accelerometer Sensors in Parkinson's Disease
    Ashour, Amira S.
    El-Attar, Amira
    Dey, Nilanjan
    Abd El-Naby, Mostafa M.
    Abd El-Kader, Hatem
    2018 9TH CAIRO INTERNATIONAL BIOMEDICAL ENGINEERING CONFERENCE (CIBEC), 2018, : 171 - 174
  • [6] Evaluating the IEEE 802.15.6 2.4GHz WBAN Proposal on Medical Multi-Parameter Monitoring Under WiFi/Bluetooth Interference
    Wang, Yufei
    Wang, Qixin
    INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS, 2011, 2 (03) : 48 - 62
  • [7] Falling Monitoring System Based On Multi Axial Accelerometer
    Liu, Wentao
    Luo, Yang
    Yan, Junze
    Tao, Chunjing
    Ma, Lifang
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 7 - 12
  • [8] An Accelerometer-based Wearable Multi-node Motion Detection System of Freezing of Gait in Parkinson's Disease
    Liu, Chen
    Han, Lingmin
    Chang, Siyuan
    Wang, Jiang
    2022 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2022), 2022,
  • [9] Detection of Parkinson's Disease Using Wrist Accelerometer Data and Passive Monitoring
    Rastegari, Elham
    Ali, Hesham
    Marmelat, Vivien
    SENSORS, 2022, 22 (23)
  • [10] Finite Integration Technique Based Channel Modeling on the WBAN Receiver Performance Evaluation (Parkinson's disease monitoring case)
    Sarestoniemi, Mariella
    Tuovinen, Tommi
    Niemela, Ville
    Hamalainen, Matti
    Iinatti, Jari
    2017 11TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION AND COMMUNICATION TECHNOLOGY (ISMICT), 2017, : 39 - 43