Model-Based ISO 14971 Risk Management of EEG-Based Medical Devices

被引:0
|
作者
Yakymets, N. [1 ,2 ]
Zanetti, R. [1 ]
Ionescu, A. [2 ]
Atienza, D. [1 ]
机构
[1] Ecole Polytech Fed Lausanne, ESL, CH-1015 Lausanne, Switzerland
[2] Ecole Polytech Fed Lausanne, Nanoelect Devices Grp NANOLAB, CH-1015 Lausanne, Switzerland
基金
欧盟地平线“2020”;
关键词
D O I
10.1109/EMBC40787.2023.10340131
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Risk management (RM) is a key component of the development of modern medical devices (MD) to achieve acceptable functional safety and pass the regulatory process. The emerging availability of various techniques, languages, and tools that use model-based system engineering (MBSE) promises to facilitate the development and analysis of complex MD. In this paper, we show how to integrate RM principles and activities recommended in ISO 14971 medical standard into an MBSE-driven MD development process. We propose a method and framework capable of modeling essential RM concepts and performing RM and safety analysis in the early stages of the MD development life cycle. The framework extends OMG RAAML (Object Management Group Risk Analysis and Assessment Modeling Language) to the medical domain according to ISO 14971. We illustrate our approach using a case study of the e-Glass system developed for real-time EEG-based subject monitoring with the intended use of stress monitoring.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] SOFTWARE-BASED RISK MANAGEMENT DOCUMENTATION FOR MEDICAL DEVICES
    Steffen, Alexander
    Hientzsch, Dorothee
    BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2013, 58
  • [32] Advances in EEG-Based Biometry
    Ferreira, Antonio
    Almeida, Carlos
    Georgieva, Petia
    Tome, Ana
    Silva, Filipe
    IMAGE ANALYSIS AND RECOGNITION, 2010, PT II, PROCEEDINGS, 2010, 6112 : 287 - 295
  • [33] EEG-based seizure detection
    Baumgartner, C.
    EUROPEAN JOURNAL OF NEUROLOGY, 2017, 24 : 748 - 748
  • [34] EEG-based "Serious" Games and Monitoring Tools for Pain Management
    Sourina, Olga
    Wang, Qiang
    Nguyen, Minh Khoa
    MEDICINE MEETS VIRTUAL REALITY 18, 2011, 163 : 606 - 610
  • [35] Integrating a Risk-based Approach and ISO 62304 into a Quality System for Medical Devices
    Bianco, Celestina
    ADVANCES IN SYSTEMS SAFETY, 2011, : 111 - 125
  • [36] A Wearable EEG-Based Control Network and Emergency Medical Assistance System
    Yao, Kai
    Lan, Shengchang
    Xu, Chaofan
    Su, Runbing
    Liu, Xuechun
    2017 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP 2017), 2017,
  • [37] Model-based Analysis of Timing Errors for Reliable Design of Mechatronic Medical Devices
    Mutzke, Thomas
    Ding, Kai
    Morozov, Andrey
    Janschek, Klaus
    Braun, Joel
    2016 3RD CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL), 2016, : 233 - 238
  • [38] A spatio-temporal model for EEG-based person identification
    Banee Bandana Das
    Pradeep Kumar
    Debakanta Kar
    Saswat Kumar Ram
    Korra Sathya Babu
    Ramesh Kumar Mohapatra
    Multimedia Tools and Applications, 2019, 78 : 28157 - 28177
  • [39] EEG-Based Detection Model for Evaluating and Improving Learning Attention
    Hsiu-Sen Chiang
    Kuo-Lun Hsiao
    Liang-Chi Liu
    Journal of Medical and Biological Engineering, 2018, 38 : 847 - 856
  • [40] A spatio-temporal model for EEG-based person identification
    Das, Banee Bandana
    Kumar, Pradeep
    Kar, Debakanta
    Ram, Saswat Kumar
    Babu, Korra Sathya
    Mohapatra, Ramesh Kumar
    MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (19) : 28157 - 28177