Early detection of sudden cardiac death may be used for surviving the life of cardiac patients. In this paper we have investigated an algorithm to detect and predict sudden cardiac death, by processing of heart rate v...Early detection of sudden cardiac death may be used for surviving the life of cardiac patients. In this paper we have investigated an algorithm to detect and predict sudden cardiac death, by processing of heart rate variability signal through the classical and time-frequency methods. At first, one minute of ECG signals, just before the cardiac death event are extracted and used to compute heart rate variability (HRV) signal. Five features in time domain and four features in frequency domain are extracted from the HRV signal and used as classical linear features. Then the Wigner Ville transform is applied to the HRV signal, and 11 extra features in the time-frequency (TF) domain are obtained. In order to improve the performance of classification, the principal component analysis (PCA) is applied to the obtained features vector. Finally a neural network classifier is applied to the reduced features. The obtained results show that the TF method can classify normal and SCD subjects, more efficiently than the classical methods. A MIT-BIH ECG database was used to evaluate the proposed method. The proposed method was implemented using MLP classifier and had 74.36% and 99.16% correct detection rate (accuracy) for classical features and TF method, respectively. Also, the accuracy of the KNN classifier were 73.87% and 96.04%.展开更多
AIM To describe the prevalence of posttransplant metabolic syndrome(PTMS) after donation after cardiac death(DCD) liver transplantation(LT) and the pre-and postoperative risk factors.METHODS One hundred and forty-seve...AIM To describe the prevalence of posttransplant metabolic syndrome(PTMS) after donation after cardiac death(DCD) liver transplantation(LT) and the pre-and postoperative risk factors.METHODS One hundred and forty-seven subjects who underwent DCD LT from January 2012 to February 2016 were enrolled in this study. The demographics and the clinical characteristics of pre-and post-transplantation were collected for both recipients and donors. PTMS was defined according to the 2004 Adult Treatment Panel-Ⅲ criteria. All subjects were followed monthly for the initial 6 mo after discharge, and then, every 3 mo for 2 years. The subjects were followed every 6 mo or as required after 2 years post-LT.RESULTS The prevalence of PTMS after DCD donor orthotopic LT was 20/147(13.6%). Recipient's body mass index(P = 0.024), warm ischemia time(WIT)(P = 0.045), and posttransplant hyperuricemia(P = 0.001) were significantly associated with PTMS. The change in serum uric acid levels in PTMS patients was significantly higher than that in non-PTMS patients(P < 0.001). After the 1 s t mo, the level of serum uric acid of PTMS patients rose continually over a period, while it was unaltered in non-PTMS patients. After transplantation, the level of serum uric acid in PTMS patients was not associated with renal function.CONCLUSION PTMS could occur at early stage after DCD LT with growing morbidity with the passage of time. WIT and post-LT hyperuricemia are associated with the prevalence of PTMS. An increased serum uric acid level is highly associated with PTMS and could act as a serum marker in this disease.展开更多
目的探讨合肥市极端气温对居民循环系统疾病死亡的影响及不同人群的敏感性分析。方法收集合肥市2016—2021年逐日气象资料、大气污染物监测资料及循环系统疾病死亡数据。采用基于广义相加模型的分布滞后非线性模型(distributed lag non-...目的探讨合肥市极端气温对居民循环系统疾病死亡的影响及不同人群的敏感性分析。方法收集合肥市2016—2021年逐日气象资料、大气污染物监测资料及循环系统疾病死亡数据。采用基于广义相加模型的分布滞后非线性模型(distributed lag non-linear model,DLNM),评估极端气温对不同性别、年龄人群循环系统疾病死亡影响以及对循环系统主要疾病死亡的滞后效应和累积效应。以日均气温中位数(17.7℃)为对照,计算极端气温的相对危险度(RR)。结果合肥市极端气温对居民循环系统疾病死亡具有显著影响。极端低温对循环系统疾病死亡影响滞后时间长,lag4时达到最大,RR(95%CI)为1.067(1.039,1.095),且不同人群的死亡风险均明显增加。极端高温对循环系统疾病死亡的影响在当天达到最大,RR(95%CI)为1.088(1.020,1.160),持续时间短;≥65岁、女性和脑血管病患者也均在当日效应最大,且效应具有统计学意义,而对其他人群无明显影响。极端气温对不同人群的冷效应均高于热效应,低温对<65岁人群的死亡风险明显高于≥65岁人群,热效应则相反;女性冷效应和热效应均高于男性;脑血管病人群冷效应和热效应也均高于缺血性心脏病人群。结论合肥市极端气温可能增加居民循环系统疾病死亡风险,冷效应影响更大,不同人群对冷热效应的敏感性有差别。展开更多
Based on the alternation of scenes,awareness of time is analyzed from three perspectives.The common one is to be aware of time flow in the change of scenes.The outstanding ones include the psychological and philosophi...Based on the alternation of scenes,awareness of time is analyzed from three perspectives.The common one is to be aware of time flow in the change of scenes.The outstanding ones include the psychological and philosophical perception of time.Being aware of the temporality of life,the individual need to take an open and unforced attitude toward death -"carpe diem!".展开更多
AIM:To identify a hypothesis on:Supine sleep,sudden infant death syndrome(SIDS) reduction and association with increasing autism incidence.METHODS:Literature was searched for autism spectrum disorder incidence time tr...AIM:To identify a hypothesis on:Supine sleep,sudden infant death syndrome(SIDS) reduction and association with increasing autism incidence.METHODS:Literature was searched for autism spectrum disorder incidence time trends,with correlation of change-points matching supine sleep campaigns.A mechanistic model expanding the hypothesis was constructed based on further review of epidemiological and other literature on autism.RESULTS:In five countries(Denmark,United Kingdom,Australia,Israel,United States) with published time trends of autism,change-points coinciding with supine sleep campaigns were identified.The model proposes that supine sleep does not directly cause autism,but increases the likelihood of expression of a subset of autistic criteria in individuals with genetic susceptibility,thereby specifically increasing the incidence of autism without intellectual disability.CONCLUSION:Supine sleep is likely a physiological stressor,that does reduce SIDS,but at the cost of impact on emotional and social development in the population,a portion of which will be susceptible to,and consequently express autism.A re-evaluation of all benefits and harms of supine sleep is warranted.If the SIDS mechanism proposed and autism model presented can be verified,the research agenda may be better directed,in order to further decrease SIDS,and reduce autism incidence.展开更多
A new stochastic epidemic model, that is, a general continuous time birth and death chain model, is formulated based on a deterministic model including vaccination. We use continuous time Markov chain to construct the...A new stochastic epidemic model, that is, a general continuous time birth and death chain model, is formulated based on a deterministic model including vaccination. We use continuous time Markov chain to construct the birth and death process. Through the Kolmogorov forward equation and the theory of moment generating function, the corresponding population expectations are studied. The theoretical result of the stochastic model and deterministic version is also given. Finally, numerical simulations are carried out to substantiate the theoretical results of random walk.展开更多
文摘Early detection of sudden cardiac death may be used for surviving the life of cardiac patients. In this paper we have investigated an algorithm to detect and predict sudden cardiac death, by processing of heart rate variability signal through the classical and time-frequency methods. At first, one minute of ECG signals, just before the cardiac death event are extracted and used to compute heart rate variability (HRV) signal. Five features in time domain and four features in frequency domain are extracted from the HRV signal and used as classical linear features. Then the Wigner Ville transform is applied to the HRV signal, and 11 extra features in the time-frequency (TF) domain are obtained. In order to improve the performance of classification, the principal component analysis (PCA) is applied to the obtained features vector. Finally a neural network classifier is applied to the reduced features. The obtained results show that the TF method can classify normal and SCD subjects, more efficiently than the classical methods. A MIT-BIH ECG database was used to evaluate the proposed method. The proposed method was implemented using MLP classifier and had 74.36% and 99.16% correct detection rate (accuracy) for classical features and TF method, respectively. Also, the accuracy of the KNN classifier were 73.87% and 96.04%.
基金the National Natural Science Foundation,No.81270521(to Wang B)
文摘AIM To describe the prevalence of posttransplant metabolic syndrome(PTMS) after donation after cardiac death(DCD) liver transplantation(LT) and the pre-and postoperative risk factors.METHODS One hundred and forty-seven subjects who underwent DCD LT from January 2012 to February 2016 were enrolled in this study. The demographics and the clinical characteristics of pre-and post-transplantation were collected for both recipients and donors. PTMS was defined according to the 2004 Adult Treatment Panel-Ⅲ criteria. All subjects were followed monthly for the initial 6 mo after discharge, and then, every 3 mo for 2 years. The subjects were followed every 6 mo or as required after 2 years post-LT.RESULTS The prevalence of PTMS after DCD donor orthotopic LT was 20/147(13.6%). Recipient's body mass index(P = 0.024), warm ischemia time(WIT)(P = 0.045), and posttransplant hyperuricemia(P = 0.001) were significantly associated with PTMS. The change in serum uric acid levels in PTMS patients was significantly higher than that in non-PTMS patients(P < 0.001). After the 1 s t mo, the level of serum uric acid of PTMS patients rose continually over a period, while it was unaltered in non-PTMS patients. After transplantation, the level of serum uric acid in PTMS patients was not associated with renal function.CONCLUSION PTMS could occur at early stage after DCD LT with growing morbidity with the passage of time. WIT and post-LT hyperuricemia are associated with the prevalence of PTMS. An increased serum uric acid level is highly associated with PTMS and could act as a serum marker in this disease.
文摘目的探讨合肥市极端气温对居民循环系统疾病死亡的影响及不同人群的敏感性分析。方法收集合肥市2016—2021年逐日气象资料、大气污染物监测资料及循环系统疾病死亡数据。采用基于广义相加模型的分布滞后非线性模型(distributed lag non-linear model,DLNM),评估极端气温对不同性别、年龄人群循环系统疾病死亡影响以及对循环系统主要疾病死亡的滞后效应和累积效应。以日均气温中位数(17.7℃)为对照,计算极端气温的相对危险度(RR)。结果合肥市极端气温对居民循环系统疾病死亡具有显著影响。极端低温对循环系统疾病死亡影响滞后时间长,lag4时达到最大,RR(95%CI)为1.067(1.039,1.095),且不同人群的死亡风险均明显增加。极端高温对循环系统疾病死亡的影响在当天达到最大,RR(95%CI)为1.088(1.020,1.160),持续时间短;≥65岁、女性和脑血管病患者也均在当日效应最大,且效应具有统计学意义,而对其他人群无明显影响。极端气温对不同人群的冷效应均高于热效应,低温对<65岁人群的死亡风险明显高于≥65岁人群,热效应则相反;女性冷效应和热效应均高于男性;脑血管病人群冷效应和热效应也均高于缺血性心脏病人群。结论合肥市极端气温可能增加居民循环系统疾病死亡风险,冷效应影响更大,不同人群对冷热效应的敏感性有差别。
文摘Based on the alternation of scenes,awareness of time is analyzed from three perspectives.The common one is to be aware of time flow in the change of scenes.The outstanding ones include the psychological and philosophical perception of time.Being aware of the temporality of life,the individual need to take an open and unforced attitude toward death -"carpe diem!".
文摘AIM:To identify a hypothesis on:Supine sleep,sudden infant death syndrome(SIDS) reduction and association with increasing autism incidence.METHODS:Literature was searched for autism spectrum disorder incidence time trends,with correlation of change-points matching supine sleep campaigns.A mechanistic model expanding the hypothesis was constructed based on further review of epidemiological and other literature on autism.RESULTS:In five countries(Denmark,United Kingdom,Australia,Israel,United States) with published time trends of autism,change-points coinciding with supine sleep campaigns were identified.The model proposes that supine sleep does not directly cause autism,but increases the likelihood of expression of a subset of autistic criteria in individuals with genetic susceptibility,thereby specifically increasing the incidence of autism without intellectual disability.CONCLUSION:Supine sleep is likely a physiological stressor,that does reduce SIDS,but at the cost of impact on emotional and social development in the population,a portion of which will be susceptible to,and consequently express autism.A re-evaluation of all benefits and harms of supine sleep is warranted.If the SIDS mechanism proposed and autism model presented can be verified,the research agenda may be better directed,in order to further decrease SIDS,and reduce autism incidence.
文摘A new stochastic epidemic model, that is, a general continuous time birth and death chain model, is formulated based on a deterministic model including vaccination. We use continuous time Markov chain to construct the birth and death process. Through the Kolmogorov forward equation and the theory of moment generating function, the corresponding population expectations are studied. The theoretical result of the stochastic model and deterministic version is also given. Finally, numerical simulations are carried out to substantiate the theoretical results of random walk.
