Sensor Data Prediction in Missile Flight Tests.

Sensor data from missile flights are highly valuable, as a test requires considerable resources, but some sensors may be detached or fail to collect data. Remotely acquired missile sensor data are incomplete, and the correlations between the missile data are complex, which results in the prediction of sensor data being difficult. This article proposes a deep learning-based prediction network combined with the wavelet analysis method. The proposed network includes an imputer network and a prediction network. In the imputer network, the data are decomposed using wavelet transform, and the generative adversarial networks assist the decomposed data in reproducing the detailed information. The prediction network consists of long short-term memory with an attention and dilation network for accurate prediction. In the test, the actual sensor data from missile flights were used. For the performance evaluation, the test was conducted from the data with no missing values to the data with five different missing rates. The test results showed that the proposed system predicts the missile sensor most accurately in all cases. In the frequency analysis, the proposed system has similar frequency responses to the actual sensors and showed that the proposed system accurately predicted the sensors in both tendency and frequency aspects.

Reduction of Motion Artifacts and Improvement of R Peak Detecting Accuracy Using Adjacent Non-Intrusive ECG Sensors.

Non-intrusive electrocardiogram (ECG) monitoring has many advantages: easy to measure and apply in daily life. However, motion noise in the measured signal is the major problem of non-intrusive measurement. This paper proposes a method to reduce the noise and to detect the R peaks of ECG in a stable manner in a sitting arrangement using non-intrusive sensors. The method utilizes two capacitive ECG sensors (cECGs) to measure ECG, and another two cECGs located adjacent to the sensors for ECG are added to obtain the information on motion. Then, active noise cancellation technique and the motion information are used to reduce motion noise. To verify the proposed method, ECG was measured indoors and during driving, and the accuracy of the detected R peaks was compared. After applying the method, the sum of sensitivity and positive predictivity increased 8.39% on average and 26.26% maximally in the data. Based on the results, it was confirmed that the motion noise was reduced and that more reliable R peak positions could be obtained by the proposed method. The robustness of the new ECG measurement method will elicit benefits to various health care systems that require noninvasive heart rate or heart rate variability measurements.

Effect of atorvastatin and clopidogrel co-administration after coronary stenting in korean patients with stable angina.

BACKGROUND AND OBJECTIVES: It was reported that atorvastatin co-administered with clopidogrel for 8 months did not affect the anti-platelet potency of clopidogrel in Korean patients with acute coronary syndrome, but not in patients with stable angina. We investigated whether co-administration of statins with clopidogrel affected the anti-platelet efficacy of clopidogrel in Korean patients with stable angina. SUBJECTS AND METHODS: This was a randomized, open-label and two-period crossover design study conducted at two centers. Two hundreds thirty three patients with stable angina scheduled for coronary stenting were randomized into two groups. In Group A, 119 patients first received atorvastatin (10 mg) followed by fluvastatin (80 mg) for 12 weeks per treatment. In Group B, 114 patients received the same treatments in reverse order. RESULTS: Baseline adenosine diphosphate (ADP, 10 µmol/L)-induced platelet aggregation was 54.4±9.1% in Group A and 53.8±9.0% in Group B (p=0.44), and significant differences were noted after each treatment period (p<0.001). Inhibition of platelet aggregation was similar between Group A and Group B at 24 hours following clopidogrel loading (29.2±11.0% vs. 30.4±12.7%; p=0.42). The two treatment least square means of 12-week ADP (10 mol/L)-induced platelet aggregation [29.50±0.79 {standard error (SE)}% on the atorvastatin treatment group vs. 28.16±0.70 (SE)% in the fluvastatin treatment group] in a 2×2 cross-over study were not significantly different (p=0.204). CONCLUSION: Statin and clopidogrel co-administration for 12 weeks is not associated with attenuated anti-platelet activity of clopidogrel in Korean patients with stable angina after coronary stenting, in support of the findings of similar studies conducted in Caucasian populations.