Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) show good efficacy for the lung cancer patients with EGFR mutations.Chemotherapy drugs are the first choices for the lung cancer patients with EGFR wild-type.In basic research,EGFR-TKIs combination with chemotherapy drugs show good synergy.But in clinical research,the timing of EGFR-TKIs combination with chemotherapy drugs is related to the efficacy.

Warfighter physiological status monitor (WPSM) is a new device for noninvasive biomedical measurements for soldier vital signs in operational environments. This paper gives an introduction to the WPSM and analyses the key technologies to design WPSM. The wearable technology can provide a systematic way of monitoring the vital signs of humans in a unobstrusive manner. In this paper the wearable technology is used to design WPSM to fulfill non-instrusive vital signs detection.

Anemia is commonly observed in lung cancer patients,and it is mainly caused by chemotherapy.Anemia can cause several debilitating symptoms such as fatigue and tachycardia which will not only influence the patients' quality of life and therapy effect,but also short the survival time.So anemia has been regarded as a poor independent prognostic indicator of the disease.Transfusion the erythrocytes and using the erythropoiesis stimulating agents is the main treatments of the disease.Using the erythropoiesis stimulating agents is the main treatment before the hemoglobin decreasing significantly in order to reduce the times of transfusion.Keeping the hemoglobin between 10.0-12.0 g/dl can improve the patients' quality of life and avoid the adverse events such as thrombus formation at the same time.

Biomedical signal analysis often needs to separate the trend component from the non-trend component to achieve different purposes and applications in signal analysis. This article introduces three kinds of detrending nonlinear component methods used in the process of biomedical signal analysis: wavelet analysis, empirical mode decomposition, smoothness priors approach as well as the application in the separation of the actual biomedical data. The different separation methods should be selected according to different research goals as well as the feature of the signal.
Algorithms ; Nonlinear Dynamics ; Signal Processing, Computer-Assisted ; Wavelet Analysis

Objective To extract breathing pattern parameters during sleep and get the varying law of NREM and REM sleep stages. Method A newly designed respiratory inductive plethysmography (RIP) and a polysomnography (PSG) are utilized to record whole-night-sleep data simultaneously. The breathing pattern parameters obtained by RIP are dealt with according to the results of sleep stages and sleep apnea by PSG. Then the rule found out and summarized from the experiment is applied to distinguish REM sleep. Conclusion RC/VT can be used as an effective parameter to differentiate NREM and REM sleep. Using this parameter, the results of RIP totally accord with the results of PSG.

Objective To design a wearable rehabilitation device suitable for home and society COPD treatment aiming at the deficiency in the COPD pulmonary rehabilitation in China. Methods Physical activity therapy and pulmonary physical therapy methods which play very important role in the COPD pulmonary rehabilitation were studied. Physiological parameters of the COPD patient were acquired non-intrusively with wearable technique. Biofeedback technology was used in the respiratory rehabilitation therapy. Target heart rate and SPO2 were used as parameters for the activity intensity assessment. Results Wearable COPD pulmonary rehabilitation device based on breathing biofeedback was fabricated. Conclusion This device is a favorable rehabilitation tool for COPD patients to do self-training at home or community.

Heart rate variability (HRV) analysis technology based on an autoregressive (AR) model is widely used in the assessment of autonomic nervous system function. The order of AR models has important influence on the accuracy of HRV analysis. This article presents a method to determine the optimum order of AR models. After acquiring the ECG signal of 46 healthy adults in their natural breathing state and extracting the beat-to-beat intervals (RRI) in the ECG, we used two criteria, i. e. final prediction error (FPE) criterion to estimate the optimum model order for AR models, and prediction error whiteness test to decide the reliability of the model. We compared the frequency domain parameters including total power, power in high frequency (HF), power in low frequency (LF), LF power in normalized units and ratio of LF/HF of our HRV analysis to the results of Kubios-HRV. The results showed that the correlation coefficients of the five parameters between our methods and Kubios-HRV were greater than 0.95, and the Bland-Altman plot of the parameters was in the consistent band. The results indicate that the optimization algorithm of HRV analysis based on AR models proposed in this paper can obtain accurate results, and the results of this algorithm has good coherence with those of the Kubios-HRV software in HRV analysis.
Adult ; Autonomic Nervous System ; Electrocardiography ; Heart Rate ; Humans ; Models, Cardiovascular ; Reproducibility of Results ; Software

This paper introduces a free and publicly open ICU database: multi-parameter intelligent monitoring in intensive care II: MIMIC-II, which has been built up and maintained by the laboratory of computational physiology at the Massachusetts Institute Technology, Beth Israel Deaconess Medical Center and Philips Healthcare over the past decade. This paper briefly introduces its infrastructure, implementation and applications in clinical studies. Clinical study pertaining to circadian variation in heart rate and blood pressure during sepsis is shown as a typical example of research performed with MIMIC-II. In this study, it was found there was significant difference in circadian variation in both heart rate and blood pressure between survival and non-survival groups in septic patients. This study tackled several important techniques necessary for the investigation of the circadian rhythm.
Blood Pressure ; Circadian Rhythm ; Critical Care ; Data Mining ; Databases, Factual ; Heart Rate ; Humans ; Medical Informatics

The forced oscillation technique (FOT) is a noninvasive method for respiratory mechanics measurement. For the FOT, external signals (e.g. forced oscillations around 4-40 Hz) are used to drive the respiratory system, and the mechanical characteristic of the respiratory system can be determined with the linear system identification theory. Thus, respiratory mechanical properties and components at different frequency and location of the airway can be explored by specifically developed forcing waveforms. In this paper, the theory, methodology and clinical application of the FOT is reviewed, including measure ment theory, driving signals, models of respiratory system, algorithm for impedance identification, and requirement on apparatus. Finally, the future development of this technique is also discussed.
Algorithms ; Electric Impedance ; Oscillometry ; Physical Therapy Modalities ; Respiratory Mechanics

In comparison with the measurement of heart rate variability from ECG and from photoplethysmographic signal from 46 healthy adults in their spontaneous breathing state. The beat-to-beat intervals in ECG and pulse-to-pulse intervals in photoplethysmographic signal are extracted, and then the parameters of heart rate variability are calculated. Three kinds of algorithms are chosen to get the pulse-to-pulse intervals, which are the intervals of maximum of second derivative, the maximum of PPG signal and the tangent intersection. The results show that the correlation coefficients of the HRV parameters in the two calculation methods are highly correlated. The Bland-Altman scattered plots show the relative bias results from the algorithm of the maximum of PPG signal are smallest and singular points that deviate from the consistent limits are the least compared with the other two algorithms.
Adult ; Algorithms ; Electrocardiography ; Heart Rate ; Humans ; Photoplethysmography ; Reproducibility of Results