Name
Title | ||
|---|---|---|
Design and Evaluation of a Real Time Physiological Signals Acquisition System Implemented in Multi-Operating Rooms for Anesthesia. |
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s10916-018-0999-1 | J. Medical Systems |
Keywords | Field | DocType |
Anesthesia,Data acquiring,Flexible,Multi-operating room,Physiological medical signal,Wireless network platform | Health care,Wireless,Photoplethysmogram,Anesthesia,Data acquisition,Depth of anesthesia,Raw data,Medicine,System model,Backup | Journal |
Volume | Issue | ISSN |
42 | 8 | 0148-5598 |
Citations | PageRank | References |
1 | 0.36 | 15 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Quan Liu | 1 | 86 | 21.65 |
| li ma | 2 | 161 | 18.13 |
| Shou-Zen Fan | 3 | 82 | 11.48 |
| Maysam F. Abbod | 4 | 224 | 28.14 |
| Chengwei Lu | 5 | 33 | 3.32 |
| Tzu-Yu Lin | 6 | 35 | 3.84 |
| Kuo-Kuang Jen | 7 | 33 | 4.15 |
| Shang-Ju Wu | 8 | 1 | 0.36 |
| Jiann Shing Shieh | 9 | 224 | 28.44 |