The purpose of this study is to investigate the sleep habits, cervical health status, and the demand and preference for pillow products of different populations through data analysis. A total of 780 valid responses we...The purpose of this study is to investigate the sleep habits, cervical health status, and the demand and preference for pillow products of different populations through data analysis. A total of 780 valid responses were gathered via an online questionnaire to explore the sleep habits, cervical health conditions, and pillow product preferences of modern individuals. The study found that sleeping late and staying up late are common, and the use of electronic devices and caffeine consumption have a negative impact on sleep. Most respondents have cervical discomfort and have varying satisfaction with pillows, which shows their demand for personalized pillows. The machine learning model for predicting the demand of latex pillow was constructed and optimized to provide personalized pillow recommendation, aiming to improve sleep quality and provide market data for sleep product developers.展开更多
By using a questionnaire survey method to understand and explore user needs, combined with the QFD-KANO model to quantify research results, and using the “Better Worse coefficient” statistical method, the survey res...By using a questionnaire survey method to understand and explore user needs, combined with the QFD-KANO model to quantify research results, and using the “Better Worse coefficient” statistical method, the survey results are transformed into design practices. In the design practice, technologies such as sensors, signal processing, and control systems were adopted to achieve precise recognition and intelligent control of snoring sounds. The test results show that the intelligent anti snoring sleep aid pillow can achieve a snoring recognition accuracy of 94%, with high reliability and stability.展开更多
Chronic intermittent hypoxia is considered to play an important role in cardiovascular pathogenesis during the development of obstructive sleep apnea（OSA）.We used a well-described OSA rat model induced with simultan...Chronic intermittent hypoxia is considered to play an important role in cardiovascular pathogenesis during the development of obstructive sleep apnea（OSA）.We used a well-described OSA rat model induced with simultaneous intermittent hypoxia.Male Sprague Dawley rats were individually placed into plexiglass chambers with air pressure and components were electronically controlled.The rats were exposed to intermittent hypoxia 8 hours daily for 5weeks.The changes of cardiac structure and function were examined by ultrasound.The cardiac pathology,apoptosis,and fibrosis were analyzed by H＆E staining,TUNNEL assay,and picosirius staining,respectively.The expression of inflammation and fibrosis marker genes was analyzed by quantitative real-time PCR and Western blot.Chronic intermittent hypoxia/low pressure resulted in significant increase of left ventricular internal diameters（LVIDs）,endsystolic volume（ESV）,end-diastolic volume（EDV）,and blood lactate level and marked reduction in ejection fraction and fractional shortening.Chronic intermittent hypoxia increased TUNNEL-positive myocytes,disrupted normal arrangement of cardiac fibers,and increased Sirius stained collagen fibers.The expression levels of hypoxia induced factor（HIF）-l α,NF-κB,IL-6,and matrix metallopeptidase 2（MMP-2） were significantly increased in the heart of rats exposed to chronic intermittent hypoxia.In conclusion,the left ventricular function was adversely affected by chronic intermittent hypoxia,which is associated with increased expression of HIF-lα and NF-κB signaling molecules and development of cardiac inflammation,apoptosis and fibrosis.展开更多
A new algorithm for the detection of sleep spindles from human sleep EEG with surrogate data approach is presented. Surrogate data ap-proach is the state of the art technique for nonlinear spectral analysis. In this p...A new algorithm for the detection of sleep spindles from human sleep EEG with surrogate data approach is presented. Surrogate data ap-proach is the state of the art technique for nonlinear spectral analysis. In this paper, by developing autoregressive (AR) models on short segment of the EEG is described as a superposition of harmonic oscillating with damping and frequency in time. Sleep spindle events are detected, whenever the damping of one or more frequencies falls below a prede-fined threshold. Based on a surrogate data, a method was proposed to test the hypothesis that the original data were generated by a linear Gaussian process. This method was tested on human sleep EEG signal. The algorithm work well for the detection of sleep spindles and in addition the analysis reveals the alpha and beta band activities in EEG. The rigorous statistical framework proves essential in establishing these results.展开更多
目的针对替牙期儿童重度腺样体肥大(AH)与颅颌面发育异常的关联,研究无创面容测量、临床症状与AH的相关性,并构建重度AH早期诊断的预测模型。方法采用横断面研究设计,纳入2023年8月—2024年12月于上海第九人民医院就诊的6~8岁替牙期儿童...目的针对替牙期儿童重度腺样体肥大(AH)与颅颌面发育异常的关联,研究无创面容测量、临床症状与AH的相关性,并构建重度AH早期诊断的预测模型。方法采用横断面研究设计,纳入2023年8月—2024年12月于上海第九人民医院就诊的6~8岁替牙期儿童201例。收集儿童颅颌面形态参数:侧面照片颜面测量角度及比值;临床症状指标包括:呼吸模式、扁桃体肥大程度、反复扁桃体发炎史、鼻炎/哮喘患病情况、OSA-18问卷得分、中耳炎史等。按照3∶1比例将研究对象分为建模组149例,验证组52例。基于鼻内镜检查将建模组分为轻/中度AH组(n=77)与重度AH组(n=72),采用LASSO回归筛选阳性变量,构建Logistic回归预测模型,并应用ROC曲线(AUC)、校准曲线及决策曲线分析(DCA)验证模型效能。结果与轻/中度AH儿童相比,重度AH儿童呈现面凸度减小[(173.24±2.71)°vs(171.01±4.08)°,P<0.001]、唇突比值增加(0.90±0.09 vs 1.02±0.11,P<0.001)、上颌凸度增加[(30.37±6.52)°vs(35.98±7.25)°,P<0.001]等特征性面容改变。呼吸模式(OR<1,P<0.05)、慢性扁桃体炎(OR=6.035,P=0.007)、慢性鼻炎(OR=5.183,P=0.013)、哮喘(OR=14.927,P=0.002)、重度鼾症(OR=5.803,P=0.011)也与重度AH之间存在关联性。基于上述因素构建的复合预测模型在建模组AUC=0.949,验证组AUC=0.961,提示该模型具有良好的区分度和临床适用性。结论本研究发现替牙期儿童的面凸度、唇突比值、上颌凸度等面容特征是重度AH的早期敏感指标。基于此构建的面容-症状预测模型提供了一种无创、高效的筛查方法,可以有效帮助重度AH的临床前诊断及广泛筛查。展开更多
文摘The purpose of this study is to investigate the sleep habits, cervical health status, and the demand and preference for pillow products of different populations through data analysis. A total of 780 valid responses were gathered via an online questionnaire to explore the sleep habits, cervical health conditions, and pillow product preferences of modern individuals. The study found that sleeping late and staying up late are common, and the use of electronic devices and caffeine consumption have a negative impact on sleep. Most respondents have cervical discomfort and have varying satisfaction with pillows, which shows their demand for personalized pillows. The machine learning model for predicting the demand of latex pillow was constructed and optimized to provide personalized pillow recommendation, aiming to improve sleep quality and provide market data for sleep product developers.
文摘By using a questionnaire survey method to understand and explore user needs, combined with the QFD-KANO model to quantify research results, and using the “Better Worse coefficient” statistical method, the survey results are transformed into design practices. In the design practice, technologies such as sensors, signal processing, and control systems were adopted to achieve precise recognition and intelligent control of snoring sounds. The test results show that the intelligent anti snoring sleep aid pillow can achieve a snoring recognition accuracy of 94%, with high reliability and stability.
基金supported by Medical Key Talents Foundation of Jiangsu Province,China(No:904-KJXW18)by National Natural Science Youth Foundation of China(No.81300227 and No.81300159)
文摘Chronic intermittent hypoxia is considered to play an important role in cardiovascular pathogenesis during the development of obstructive sleep apnea（OSA）.We used a well-described OSA rat model induced with simultaneous intermittent hypoxia.Male Sprague Dawley rats were individually placed into plexiglass chambers with air pressure and components were electronically controlled.The rats were exposed to intermittent hypoxia 8 hours daily for 5weeks.The changes of cardiac structure and function were examined by ultrasound.The cardiac pathology,apoptosis,and fibrosis were analyzed by H＆E staining,TUNNEL assay,and picosirius staining,respectively.The expression of inflammation and fibrosis marker genes was analyzed by quantitative real-time PCR and Western blot.Chronic intermittent hypoxia/low pressure resulted in significant increase of left ventricular internal diameters（LVIDs）,endsystolic volume（ESV）,end-diastolic volume（EDV）,and blood lactate level and marked reduction in ejection fraction and fractional shortening.Chronic intermittent hypoxia increased TUNNEL-positive myocytes,disrupted normal arrangement of cardiac fibers,and increased Sirius stained collagen fibers.The expression levels of hypoxia induced factor（HIF）-l α,NF-κB,IL-6,and matrix metallopeptidase 2（MMP-2） were significantly increased in the heart of rats exposed to chronic intermittent hypoxia.In conclusion,the left ventricular function was adversely affected by chronic intermittent hypoxia,which is associated with increased expression of HIF-lα and NF-κB signaling molecules and development of cardiac inflammation,apoptosis and fibrosis.
文摘A new algorithm for the detection of sleep spindles from human sleep EEG with surrogate data approach is presented. Surrogate data ap-proach is the state of the art technique for nonlinear spectral analysis. In this paper, by developing autoregressive (AR) models on short segment of the EEG is described as a superposition of harmonic oscillating with damping and frequency in time. Sleep spindle events are detected, whenever the damping of one or more frequencies falls below a prede-fined threshold. Based on a surrogate data, a method was proposed to test the hypothesis that the original data were generated by a linear Gaussian process. This method was tested on human sleep EEG signal. The algorithm work well for the detection of sleep spindles and in addition the analysis reveals the alpha and beta band activities in EEG. The rigorous statistical framework proves essential in establishing these results.
文摘目的针对替牙期儿童重度腺样体肥大(AH)与颅颌面发育异常的关联,研究无创面容测量、临床症状与AH的相关性,并构建重度AH早期诊断的预测模型。方法采用横断面研究设计,纳入2023年8月—2024年12月于上海第九人民医院就诊的6~8岁替牙期儿童201例。收集儿童颅颌面形态参数:侧面照片颜面测量角度及比值;临床症状指标包括:呼吸模式、扁桃体肥大程度、反复扁桃体发炎史、鼻炎/哮喘患病情况、OSA-18问卷得分、中耳炎史等。按照3∶1比例将研究对象分为建模组149例,验证组52例。基于鼻内镜检查将建模组分为轻/中度AH组(n=77)与重度AH组(n=72),采用LASSO回归筛选阳性变量,构建Logistic回归预测模型,并应用ROC曲线(AUC)、校准曲线及决策曲线分析(DCA)验证模型效能。结果与轻/中度AH儿童相比,重度AH儿童呈现面凸度减小[(173.24±2.71)°vs(171.01±4.08)°,P<0.001]、唇突比值增加(0.90±0.09 vs 1.02±0.11,P<0.001)、上颌凸度增加[(30.37±6.52)°vs(35.98±7.25)°,P<0.001]等特征性面容改变。呼吸模式(OR<1,P<0.05)、慢性扁桃体炎(OR=6.035,P=0.007)、慢性鼻炎(OR=5.183,P=0.013)、哮喘(OR=14.927,P=0.002)、重度鼾症(OR=5.803,P=0.011)也与重度AH之间存在关联性。基于上述因素构建的复合预测模型在建模组AUC=0.949,验证组AUC=0.961,提示该模型具有良好的区分度和临床适用性。结论本研究发现替牙期儿童的面凸度、唇突比值、上颌凸度等面容特征是重度AH的早期敏感指标。基于此构建的面容-症状预测模型提供了一种无创、高效的筛查方法,可以有效帮助重度AH的临床前诊断及广泛筛查。
