Literature DB >> 29961144

Design and Evaluation of a Real Time Physiological Signals Acquisition System Implemented in Multi-Operating Rooms for Anesthesia.

Quan Liu1,2, Li Ma1,2, Shou-Zen Fan3, Maysam F Abbod4, Cheng-Wei Lu5,6, Tzu-Yu Lin5,6, Kuo-Kuang Jen7, Shang-Ju Wu7, Jiann-Shing Shieh8.   

Abstract

With critical importance of medical healthcare, there exist urgent needs for in-depth medical studies that can access and analyze specific physiological signals to provide theoretical support for practical clinical care. As a consequence, obtaining the valuable medical data with minimal cost and impacts on hospital work comes as the first concern of researchers. Anesthesia plays a widely recognized role in surgeries, which attracts people to undertake relevant research. In this paper, a real-time physiological medical signal data acquisition system (PMSDA) for the multi-operating room applications is proposed with high universality of the hospital practical settings and research requirements. By utilizing a wireless communication approach, it provides an easily accessible network platform for collection of physiological medical signals such as photoplethysmogram (PPG), electrocardiograph (ECG) and electroencephalogram (EEG) during the surgery. In addition, the raw data is stored on a server for safe backup and further analysis of depth of anesthesia (DoA). Results show that the PMSDA exhibits robust, high quality performance and efficiently reduces costs compared to previously manual methods and allows seamless integration into hospital environment, independent of its routine work. Overall, it provides a pragmatic and flexible surgery-data acquisition system model with low impact and resource cost applicable to research in critical and practical medical circumstances.

Entities:  

Keywords:  Anesthesia; Data acquiring; Flexible; Multi-operating room; Physiological medical signal; Wireless network platform

Mesh:

Year:  2018        PMID: 29961144     DOI: 10.1007/s10916-018-0999-1

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  29 in total

1.  PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

Authors:  A L Goldberger; L A Amaral; L Glass; J M Hausdorff; P C Ivanov; R G Mark; J E Mietus; G B Moody; C K Peng; H E Stanley
Journal:  Circulation       Date:  2000-06-13       Impact factor: 29.690

2.  GPGPU-aided ensemble empirical-mode decomposition for EEG analysis during anesthesia.

Authors:  Dan Chen; Duan Li; Muzhou Xiong; Hong Bao; Xiaoli Li
Journal:  IEEE Trans Inf Technol Biomed       Date:  2010-09-02

3.  Mastering the game of Go with deep neural networks and tree search.

Authors:  David Silver; Aja Huang; Chris J Maddison; Arthur Guez; Laurent Sifre; George van den Driessche; Julian Schrittwieser; Ioannis Antonoglou; Veda Panneershelvam; Marc Lanctot; Sander Dieleman; Dominik Grewe; John Nham; Nal Kalchbrenner; Ilya Sutskever; Timothy Lillicrap; Madeleine Leach; Koray Kavukcuoglu; Thore Graepel; Demis Hassabis
Journal:  Nature       Date:  2016-01-28       Impact factor: 49.962

4.  Improved spectrum analysis in EEG for measure of depth of anesthesia based on phase-rectified signal averaging.

Authors:  Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F Abbod; Jiann-Shing Shieh
Journal:  Physiol Meas       Date:  2016-12-29       Impact factor: 2.833

5.  The inevitable application of big data to health care.

Authors:  Travis B Murdoch; Allan S Detsky
Journal:  JAMA       Date:  2013-04-03       Impact factor: 56.272

6.  Reliable Collection of Real-Time Patient Physiologic Data from less Reliable Networks: a "Monitor of Monitors" System (MoMs).

Authors:  Peter F Hu; Shiming Yang; Hsiao-Chi Li; Lynn G Stansbury; Fan Yang; George Hagegeorge; Catriona Miller; Peter Rock; Deborah M Stein; Colin F Mackenzie
Journal:  J Med Syst       Date:  2016-11-05       Impact factor: 4.460

Review 7.  General anesthesia, sleep, and coma.

Authors:  Emery N Brown; Ralph Lydic; Nicholas D Schiff
Journal:  N Engl J Med       Date:  2010-12-30       Impact factor: 91.245

8.  Quasi-Periodicities Detection Using Phase-Rectified Signal Averaging in EEG Signals as a Depth of Anesthesia Monitor.

Authors:  Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F Abbod; Jiann-Shing Shieh
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-04-03       Impact factor: 3.802

9.  Evidence based medicine: a movement in crisis?

Authors:  Trisha Greenhalgh; Jeremy Howick; Neal Maskrey
Journal:  BMJ       Date:  2014-06-13

10.  Provenance based data integrity checking and verification in cloud environments.

Authors:  Muhammad Imran; Helmut Hlavacs; Inam Ul Haq; Bilal Jan; Fakhri Alam Khan; Awais Ahmad
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

View more
  2 in total

1.  Wireless Cyber-Physical Systems Performance Evaluation through a Graph Database Approach.

Authors:  Mohamed Kashef; Yongkang Liu; Karl Montgomery; Richard Candell
Journal:  J Comput Inf Sci Eng       Date:  2021-04       Impact factor: 1.855

2.  Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography.

Authors:  Muammar Sadrawi; Yin-Tsong Lin; Chien-Hung Lin; Bhekumuzi Mathunjwa; Shou-Zen Fan; Maysam F Abbod; Jiann-Shing Shieh
Journal:  Sensors (Basel)       Date:  2020-07-09       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.