IoT Sensors in a Wireless Environment for Healthcare Monitoring: A Framework for Fault Detection

被引:0
|
作者
Mulani, Altaf O. [1 ]
Liyakat, Kazi Kutubuddin Sayyad [2 ]
Warade, Nilima S. [3 ]
Patil, Alaknanda [4 ]
Kolte, Mahesh T. [5 ]
Kinage, Kishor [5 ]
Rana, Manish [6 ]
Salunkhe, Shweta Sadanand [7 ]
Jadhav, Vaishali Satish [8 ]
Nagrale, Megha [9 ]
机构
[1] SKN Sinhgad Coll Engn, Dept Elect & Telecommun, Pandharpur 413304, Maharashtra, India
[2] BMIT, Dept Elect & Telecommun, Solapur, Maharashtra, India
[3] AISSMS Inst Informat Technol, Dept Elect & Telecommun, Pune, Maharashtra, India
[4] JSPM NTC, Dept Elect & Telecommun, Pune, Maharashtra, India
[5] Savitribai Phule Pune Univ, Pimpri Chinchwad Coll Engn, Dept Elect & Telecommun Engn, Pune, Maharashtra, India
[6] St John Coll Engn & Management SJCEM, Dept Comp Engn, Palghat, Maharashtra, India
[7] Bharati Vidyapeeths Coll Engn Women, Dept Elect & Telecommun, Pune, Maharashtra, India
[8] D Y Patil Univ, Ramrao Adik Inst Technol, Dept Elect Engn, Navi Mumbai, Maharashtra, India
[9] Sardar Patel Coll Engn, Dept Mech Engn, Mumbai, India
关键词
Healthcare; wireless sensor networks; Internet of Things; fault detection; sensors; framework;
D O I
10.1177/0976500X251324735
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background The Internet of Things (IoT) and wireless sensor networks (WSNs) are now being explored and used in various sectors, thanks to recent technological advancements.Purpose The healthcare sector is one of the areas we will examine in this research. This study's primary focus will be on the fault detection framework (FDF) for healthcare monitoring employing IoT sensors in a wireless environment.Methods Because isolating defects yields more pertinent information about the issues, fault detection first finds weaknesses in a system or process before isolating the intricate process or variable.Results and Discussion The outcome demonstrates that the suggested strategy achieves an acceptable level of 80% accuracy in problem identification, in addition to the greater number of patients recorded.Conclusion The outcomes show that the defect-detection system for wireless IoT sensor-based healthcare monitoring is efficient.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] A Framework for Malicious Traffic Detection in IoT Healthcare Environment
    Hussain, Faisal
    Abbas, Syed Ghazanfar
    Shah, Ghalib A.
    Pires, Ivan Miguel
    Fayyaz, Ubaid U.
    Shahzad, Farrukh
    Garcia, Nuno M.
    Zdravevski, Eftim
    SENSORS, 2021, 21 (09)
  • [2] IoT Protocols Comparison for Wireless Sensors Network Applied to Marine Environment Acoustic Monitoring
    Durante, G.
    Beccaro, W.
    Peres, H.
    IEEE LATIN AMERICA TRANSACTIONS, 2018, 16 (11) : 2673 - 2679
  • [4] A Self-Learning Sensor Fault Detection Framework for Industry Monitoring IoT
    Liu, Yu
    Yang, Yang
    Lv, Xiaopeng
    Wang, Lifeng
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
  • [5] IOT Assisted Biomedical Monitoring Sensors for Healthcare in Human
    Periyanayagi S.
    Nandini V.
    Basarikodi K.
    Sumathy V.
    Computer Systems Science and Engineering, 2023, 45 (03): : 2853 - 2868
  • [6] A novel security framework for healthcare data through IOT sensors
    Kasat, Kishori
    Rani, D. Leela
    Khan, Bhola
    J, Ashok.
    Kirubakaran, M.K.
    Malathi, P.
    Measurement: Sensors, 2022, 24
  • [7] Development of Smart Healthcare Monitoring System in IoT Environment
    Islam M.M.
    Rahaman A.
    Islam M.R.
    SN Computer Science, 2020, 1 (3)
  • [8] An IoT scheme based on wireless body area sensors for healthcare applications
    Palagan, C. Anna
    Gupta, Sanjai
    Dhas, Anand J.
    Taware, Shrikant
    Chakravarthi, R. Ravi
    SIGNAL IMAGE AND VIDEO PROCESSING, 2023, 17 (04) : 947 - 953
  • [9] An IoT scheme based on wireless body area sensors for healthcare applications
    C. Anna Palagan
    Sanjai Gupta
    Anand J Dhas
    Shrikant Taware
    R. Ravi Chakravarthi
    Signal, Image and Video Processing, 2023, 17 : 947 - 953
  • [10] Implementation Of PV Powered Wireless Healthcare Monitoring Using IOT
    Sivagami, P.
    Pushpavalli, M.
    Abirami, P.
    Sindhuja, S.
    Reddy, Naga SujithKumar
    2018 IEEE 4TH INTERNATIONAL SYMPOSIUM IN ROBOTICS AND MANUFACTURING AUTOMATION (ROMA), 2018,