馬克獅博士的逍遙居

2016年4月17日

Asthma Attack Detector DEMO Video 氣喘發作偵測測試影片

Asthma Attack Detector DEMO Video
The device will alarm when it detects the wheezing sound.

My recently research and results 我最近的研究和成果

 Department head (Acting head of department).
 Create innovative technology R&D team.
 Research and development of innovative medical device.
 Research new technology.
 Research and development of Blood Glucose Meter.
 V&V for blood glucose meter.
 Research for regulations of medical device.

 Software Design Verification.
 Team leader of LabVIEW programnming development.
 Plan for software design verification (software engineering V-model) of medical device software integration and system testing.
 Develop automatic test programs and system for verifying the software design of medical devices.
 Cooperate with R&D team for reviewing customer's requirement specification, system specification and provide the revision suggestion.
 Cooperate with R&D team for reviewing R&D team's software design and provide the revision suggestion.
 Define verification plan, design test case, and analyze test result for improving design quality.
 Contact with clients (Germen), Workshop and weekly meeting.

 Head of System Software Department in Holux Co. Ltd..
 Ultra-wideband (UWB) development of physiological monitoring instruments.
 Software design.
 Signal analysis and algorithm development.
 Integration of vehicle electronics and medical electronics.
 Drowsiness/fatigue detector for driver.
 To conduct clinical test with the hospital cooperation.

 R&D of Electrosurgery products.
 Software design.
 Firmware design.
 To assist the GMP certification and new product development project Standard Operating Procedures.

2016年4月16日

我的營運計劃書 My Business Plan

如果能有機會將自己的研究成果付諸產品化，是我最大的心願。所以我整理了一份營運計劃書，現將摘要發表於此，若有任何公司願意討論詳情，請與我聯絡。

2013年5月8日

SCI 論文 -- Bi-level weights sum method for shock diagnosis

Cheng, Y.P.*, & Chou, A. N. G. 2011 April, Bi-level weights sum method for shock diagnosis, Expert Systems with Applications Vol.38 Issue 4, pp. 4497-4504. （SCI, 2010 IF=1.924, rank=48/247, Rank in subject categories ENGINEERING, ELECTRICAL & ELECTRONIC）

Abstract

A new inference mechanism using bi-level weights sum method for clinical computer assisted shock diagnosis algorithm is proposed in this paper. Shock is a very emergency physiological sign in clinical medicine. It predisposes to multi-organ failure. This inference method provides completely shock trend for clinician’s judgments. We use seven paths to infer the type of shock, including hypovolemic shock, cardiogenic shock, septic shock, anaphylactic shock, neurogenic shock, endocrine shock, and pulmonary shock. A knowledge base is composed of many possibility weights that are built by experienced medical expert, each path has further detail items and every item has respective weights for each shock type. Some items are then spilt into server, moderate and mild. In this study, nine patients’ data are collected and analyzed. The results provide order of shock type by bi-level weights sum method. The inference results computed by this system are coinciding with diagnosis by clinician and imply other potential shock type. These results are important for clinician because the results are not unique and which corresponds with shock physiological condition. We also distribute patients’ data to another six doctors for diagnostics, and for evaluating system performance. Results reveal it can provide sufficient complete information for clinician to ensure good diagnostics and treatment for patients. This system could be used either as a clinical decision support system or as educational software.