In this paper, a new method based on the nonlinear chaos theory was proposed to study the arrhythmia with the combination of the correlation dimension and largest Lyapunov exponent, through computing and analyzing these two parameters of 30 cases normal heart sound and 30 cases with arrhythmia. The results showed that the two parameters of the heart sounds with arrhythmia were higher than those with the normal, and there was significant difference between these two kinds of heart sounds. That is probably due to the irregularity of the arrhythmia which causes the decrease of predictability, and it's more complex than the normal heart sound. Therefore, the correlation dimension and the largest Lyapunov exponent can be used to analyze the arrhythmia and for its feature extraction.
Arrhythmias, Cardiac ; diagnosis ; physiopathology ; Heart Sounds ; physiology ; Humans ; Logistic Models ; Nonlinear Dynamics ; Phonocardiography ; Signal Processing, Computer-Assisted

Objective To investigate the relationship between bed rest time and development of prethrombotic state in the elderly patients with hip fracture.Methods One hundred and sixty-six patients who stayed in bed after hip fracture,aged ≥65 yr,were divided into 5 groups according to the bed rest time on admission to hospital:bed rest time ＜ 24 h (Ⅰ group,n =61),bed rest time 24-48 h (Ⅱ group,n =29),bed rest time 3-6days (Ⅲ group,n =29),bed rest time 7-14 days (Ⅳ group,n =34),and bed rest time ＞ 14 days (Ⅴ group,n =13).Venous blood samples were collected to measure the platelet count,coagulation function,and concentrations of plasma D-Dimer and serum α-granule membrane protein 140 (GMP-140).The development of abnormality in each index was recorded.The development of deep vein thrombosis in both lower extremities was diagnosed using color Doppler ultrasound in D-Dimer-positive patients.Results Compared with group Ⅰ,the abnormal rate of fibrinogen (Fib) and D-Dimer and serum GMP-140 concentrations were significantly increased in Ⅱ and Ⅲ groups,the abnormal rate of platelet count,Fib and D-Dimer and serum GMP-140 concentrations were increased in lⅣ group,and the abnormal rate of platelet count was increased,and no significant change was found in the serum GMP-140 concentrations and abnormal rate of Fib and D-Dimer in Ⅴ group.Compared with group Ⅱ,the serum GMP-140 concentrations were significantly increased in Ⅲ and Ⅳ groups,the abnormal rate of Fib and D-Dimer was increased in Ⅳ group,and no significant change was found in the abnormal rate of Fib and DDimer in Ⅲ group.The abnormal rate of platelet count was significantly lower in Ⅳ group than in Ⅲ group.Color Doppler Ultrasonography showed no sign of deep vein thrombosis.Conclusion For the elderly patients with hip fracture,the possibility of pre-thrombotic state developed is increased when the bed rest time is more than 24 h,and the patients were classified as high-risk patients when the bed rest time is more than 3 days.

OBJECTIVEExtraction of cepstral coefficients combined with Gaussian Mixture Model (GMM) is used to propose a biometric method based on heart sound signal.

METHODSFirstly, the original heart sounds signal was preprocessed by wavelet denoising. Then, Linear Prediction Cepstral Coefficients (LPCC) and Mel Frequency Cepstral Coefficients (MFCC) are compared to extract representative features and develops hidden Markov model (HMM) for signal classification. At last, the experiment collects 100 heart sounds from 50 people to test the proposed algorithm.

RESULTSThe comparative experiments prove that LPCC is more suitable than MFCC for heart sound biometric, and by wavelet denoising in each piece of heart sound signal, the system achieves higher recognition rate than traditional GMM.

CONCLUSIONThose results show that this method can effectively improve the recognition performance of the system and achieve a satisfactory effect.

Algorithms ; Biometry ; Heart ; physiology ; Humans ; Markov Chains ; Models, Biological ; Phonocardiography ; methods ; Wavelet Analysis

Objective To explore the prevalence of mild cognitive impairment (MCI) among elderly veterans. Methods 2 674 veterans ( aged 60 years and over) from 26 military sanatorium in Shijiazhuang city were studied. The Mini-Mental State Examination, Global Deterioration Scale, Activity of Daily Living, Hachinski Ischemic Scale and Hamilton Depression Scale were served as screening tools. Results The prevalence of total MCI was 8 08% in elderly people. The standardized prevalence of MCI was 6 87% in male and 10 38% in female (P

BACKGROUND: Chemotherapy is the most important method for cancer treatment. However, chemotherapy induced nausea and vomiting (CINV) has a profound effect on patients. In recent years, there have been new antiemetic drugs, such as aprepitant. We review the curative effect of aprepitant with tropisetron and dexamethasone for prevention of nausea and vomiting in patients receiving Cisplatin chemotherapy. METHODS: Observation is divided into three stages. Whole study phase (0-120 h after chemotherapy administration), acute phases (0-24 h), and delayed phase (24 h-120 h). The primary endpoints were complete response (CR) and complete prevention (CP) during the three different study phase. RESULTS: In the whole study phase, 86.02% of patients achieved CR; in acute phases and delayed phases were 89.25%, 87.1%, respectively. CP were 46.22%, 83.87%, 45.16%, respectively. Anti-CINV effect was significantly associated with age distribution (P=0.008). CONCLUSIONS Aprepitant with tropisetron and dexamethasone prevented effectively CNIV for patients receiving Cisplatin chemotherapy. This combination could improve the quality of life and the compliance of patient with chemotherapy.
Adult ; Aged ; Aged, 80 and over ; Antineoplastic Agents ; adverse effects ; Aprepitant ; Cisplatin ; adverse effects ; Female ; Humans ; Male ; Middle Aged ; Morpholines ; pharmacology ; Nausea ; chemically induced ; prevention & control ; Quality of Life ; Vomiting ; chemically induced ; prevention & control