Optimized Algorithms for Atrial Fibrillation Detection by Wearable Tele-Holter Devices

被引:0
作者
Marsili, I. A. [1 ,2 ]
Mase, M. [3 ]
Pisetta, V. [1 ]
Ricciardi, E. [1 ]
Andrighetti, A. O. [1 ]
Ravelli, F. [3 ]
Nollo, G. [2 ,4 ]
机构
[1] Medicaltech Srl, Via Zeni 8 Rovereto, Trento, Italy
[2] Univ Trento, Dept Ind Engn, Trento, Italy
[3] Univ Trento, Dept Phys, Trento, Italy
[4] Fdn Bruno Kessler, Healthcare Res & Innovat Program IRCS, Trento, Italy
来源
IEEE SECOND INTERNATIONAL SMART CITIES CONFERENCE (ISC2 2016) | 2016年
关键词
atrial fibrillation; wearable devices; tele-holter monitoring; event recorder; prevention; e-Cardiology; TECHNOLOGY;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this work we implemented and tested on a prototype tele-monitoring device an algorithmic framework for AF detection. The framework was an adaptation for device implementation of a previously developed QRS complex detector and two AF detectors based on RR irregularity features. Validation on MIT-BIH databases demonstrated the capability of the framework to provide accurate onboard AF detection with overall accuracy of 98% and affordable computation burden. The developed Tele-Holter system may have significant impact on AF prevention and screening programs as well as on the improvement of patient follow-up after cardiac events or interventions.
引用
收藏
页码:737 / 740
页数:4
相关论文
共 15 条
  • [1] Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine
    Asgari, Shadnaz
    Mehrnia, Alireza
    Moussavi, Maryam
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2015, 60 : 132 - 142
  • [2] Acquisition and analysis of cardiovascular signals on smartphones: potential, pitfalls and perspectives
    Bruining, Nico
    Caiani, Enrico
    Chronaki, Catherine
    Guzik, Przemyslaw
    van der Velde, Enno
    [J]. EUROPEAN JOURNAL OF PREVENTIVE CARDIOLOGY, 2014, 21 : 4 - 13
  • [3] Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation
    Garcia, Manuel
    Rodenas, Juan
    Alcaraz, Raul
    Rieta, Jose J.
    [J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2016, 131 : 157 - 168
  • [4] Novel Real-Time Low-Complexity QRS Complex Detector Based on Adaptive Thresholding
    Gutierrez-Rivas, Raquel
    Jesus Garcia, J.
    Marnane, William P.
    Hernandez, Alvaro
    [J]. IEEE SENSORS JOURNAL, 2015, 15 (10) : 6036 - 6043
  • [5] Larburu N, 2011, COMPUT CARDIOL CONF, V38, P265
  • [6] iPhone ECG application for community screening to detect silent atrial fibrillation: A novel technology to prevent stroke
    Lau, Jerrett K.
    Lowres, Nicole
    Neubeck, Lis
    Brieger, David B.
    Sy, Raymond W.
    Galloway, Connor D.
    Albert, David E.
    Freedman, Saul B.
    [J]. INTERNATIONAL JOURNAL OF CARDIOLOGY, 2013, 165 (01) : 193 - 194
  • [7] Time-Varying Coherence Function for Atrial Fibrillation Detection
    Lee, Jinseok
    Nam, Yunyoung
    McManus, David D.
    Chon, Ki H.
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2013, 60 (10) : 2783 - 2793
  • [8] Atrial Fibrillation Detection Using an iPhone 4S
    Lee, Jinseok
    Reyes, Bersain A.
    McManus, David D.
    Mathias, Oscar
    Chon, Ki H.
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2013, 60 (01) : 203 - 206
  • [9] The atrial fibrillation epidemic is approaching the physician's door: will mobile technology improve detection?
    Lindsberg, Perttu J.
    Toivonen, Lauri
    Diener, Hans-Christoph
    [J]. BMC MEDICINE, 2014, 12
  • [10] Application of higher order statistics for atrial arrhythmia classification
    Martis, Roshan Joy
    Acharya, U. Rajendra
    Prasad, Hari
    Chua, Chua Kuang
    Lim, Choo Min
    Suri, Jasjit S.
    [J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2013, 8 (06) : 888 - 900