Research Project Title: Machine-to-Machine Application of Telehealth Using Automatic Electrocardiographic Analysis System by Digital Signal Processing Methods 1. Team member Principal Investigators: Co-PI: Assoc Prof. Yi-Lwun Ho Assist Prof. Jian-Jiun Ding; Assist Prof. Yen-Hung Lin; Dr. Ying-Hsien Chen 2. Discussion with champions: Time: 6/29 8:00-9:00 We also discussed with other PIs and Co-PIs at the meeting on 6/16. After discussion, we found that there are many possible ways to further extension the E-health system. 3. Progress between last month and this month (the algorithm for extracting the feature points and differentiation of normal and abnormal ECG including APC, VPC, atrial fibrillation) a. Summary of key findings and innovation, and/or The results of the previous months: (About Precision) For the MIT/BIH Arrhythmia Database (used worldwide) The number of R points: True Positive (TP): 110159, 109922 False Negative (FN): 237 False Positive (FP): 68 Recall rate = TP/(TP+FN) = 99.78% Precision rate = TP/(TP + FP) = 99.94% Error rate = (FN+FP)/(TP+FN) = 0.2769% Computation time: 0.6 second for a 30-minute length ECG signal (by Matlab). Comparison: For the best result in the literature, error rate = 0.5516% Although recently there was a paper that presents a result with the error rate of 0.35%, we doubt that the authors did not apply the standard ground truth. (About the Number of Instructions) Stage MULS ADDS Baseline Extraction 8N 11N R Point Candidates (I) 3N 7N R Point Candidates (II) 2N1 4N1 R Point Determination 3N2 8N2 SUM LOGICS SUM 19N 2N 12N 6N1 15N2 26N2 31N + 6N1 + 26N2 N1 N/5, N2 N/20, and the number of instructions is near to 33.5N, where N is the number of samples If N = 100 per second, then the energy consumption is 33.5 W. The results of this month: (1) We have developed some possible ways to further reduce the number instructions. For example, the baseline extraction algorithm can be much simplified and the total number of instructions can be reduced to about 20N. But in this case the error may increase to 1.5%. (2) We write our work about R point extraction as a conference paper. We plan to submit it into National Symposium on Telecommunications. The conference paper has been completed. (3) We also write our work about ECG signal analysis as an SCI journal paper. We plan to submit it into IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. The paper is in process (10 pages have been written). b. Cross-project synergy After discussion with the PIs and Co-PIs of other projects, we found that there are a lot of ways to further extend the E-health system. For example, the proposed ECG analysis system can be integrated with the systems for analyzing the pupil size, the eye ground, the ear lobe crease, blood pressure, blood sugar, and the amount urine protein for vasculopathy diagnosis. This idea is a possible way for future research if we can cooperate with the faculties who are familiar with image processing and machine learning. 4. Brief plan for the next month (1) We will submit the conference paper and complete the SCI journal paper about R point extraction. (2) We will spend time to study machine learning. It is important to analyze the symptom of a patient. a. Updated view of planned milestones, deliverables, and success criteria Date Milestone Deliverables Technical Success Criteria/ Objectives 2012Q2 Make solid power Presentation of the study Confirm the research estimation to re-address the direction first risk of this project 2012Q4 Finish the first version of Technical report A technique report the ECG interpretation Software for the interpretation with detailed algorithm. Define some joint develop description items with other subproject. Clinical trial IRB application 2012Q5 Develop a very accurate Technical report For MIT/BIH and very fast algorithm for Software for the interpretation Arrhythmia Database, ECG feature point Define some joint develop sensitivity = 99.80% and extraction. items with other subproject. computation time for each Discuss the arrhythmia 30 minute length ECG problem data is 0.3 second. 2012Q6 Develop the way to much Technical report of the system The number of reduce the number of analysis result instructions for the instructions for ECG signal proposed system is analysis reduced to 33.5N 2012Q7 Propose the idea for further Complete a conference paper. The number of extend the H-health system Start to write an SCI journal instructions can be further such as vasculopathy paper about R-point extraction reduced to 20N and the diagnosis system still work well for normal cases. 5. Research byproducts (1) Modify the theory about the bilateral filter. (2) Propose the geometric coefficient filter, which requires very less number of instructions. In addition to ECG signal analysis, the modified bilateral filter and the geometric coefficient filter can also be applied in other fields of signal processing.