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.

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.

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

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.

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

To investigate the effect of stepwise paced breathing (PB) on pulse transit time (PTT), we collected physiological signals of electrocardiogram (ECG), respiration and arterial pulse wave during a procedure of stepwise PB, which consists of 6 different breathing rates changing in a protocol of 14.0-12.5-11.0-9.5-8.0-7.0 breath per minute (BPM), with each breathing rate lasting 3 minutes. Twenty two healthy adults involved in this experiment and the change of PTT was analyzed during the stepwise PB procedure. In our study, the PTT was measured by calculating the time interval from the R-spike of the ECG to the peaks of the second derivative of the arterial pulse wave. Ensemble empirical mode decomposition (EEMD) was applied to PTT to decompose the signal into different intrinsic mode function, and respiratory oscillation and trend component (baseline) in PTT were further extracted. It was found that the respiratory oscillations in the PTT increased with decreasing of the PB rate, and many of the subjects (14 out of 22) showed the phenomena of PTT baseline increasing during the stepwise PB procedure. The results indicated that the stepwise PB procedure induced a high level of cardiovascular oscillation and produced an accumulative effect of PTT baseline increase. As PTT is capable of predicting changes in BP over a short period of time, increase of PTT baseline indicates the decrease of blood pressure. The experiments showed that the stepwise PB procedure could reduce blood pressure for most subjects. For future work, it is necessary to develop certain indices differentiating the effectiveness of the stepwise PB procedure on the PTT baseline change, and to test the effectiveness of this stepwise PB procedure on blood pressure reduction for patients with essential hypertension.
Adult ; Blood Pressure ; Blood Pressure Determination ; Electrocardiography ; Essential Hypertension ; Humans ; Hypertension ; Pulse Wave Analysis ; Respiration ; Respiratory Rate

The detection and monitoring of life signals such as heartbeat, respir ation, bloodpressure and temperature are often used to determine the patient's death. On the basis of the theory of military medical service, this paper discus ses life signals detection and monitoring technologies in the field of military medicine. With the progress of sciences, technologies and informatization of Chi nese PLA, life signals detection and monitoring technologies, based on informati on technology, microelectronic technology, communication technology and etc, wil l be more and more important in the development of digital medical equipment.

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.