A new algorithm, named segmented second empirical mode decomposition （EMD） algorithm, is proposed in this paper in order to reduce the computing time of EMD and make EMD algorithm available to online time-frequency ...A new algorithm, named segmented second empirical mode decomposition （EMD） algorithm, is proposed in this paper in order to reduce the computing time of EMD and make EMD algorithm available to online time-frequency analysis. The original data is divided into some segments with the same length. Each segment data is processed based on the principle of the first-level EMD decomposition. The algorithm is compared with the traditional EMD and results show that it is more useful and effective for analyzing nonlinear and non-stationary signals.展开更多
目的:对比性分析少节段和多节段髓内原发性肿瘤患者神经功能和预后的差异。方法:选择北京大学第三医院2010年1月至2015年12月显微神经外科手术治疗髓内肿瘤患者进行回顾性分析,共收集病例135例,用IJOA(improved Japanese orthopaedic as...目的:对比性分析少节段和多节段髓内原发性肿瘤患者神经功能和预后的差异。方法:选择北京大学第三医院2010年1月至2015年12月显微神经外科手术治疗髓内肿瘤患者进行回顾性分析,共收集病例135例,用IJOA(improved Japanese orthopaedic association)评分评估手术前后的神经功能状况。结果:在少节段和多节段髓内肿瘤患者中,术前IJOA评分(P=0.02)和术后早期IJOA评分(P=0.004)差异均有统计学意义,不论术前还是术后早期,少节段髓内肿瘤患者神经功能都较好一些,大部分多节段髓内肿瘤患者都有不同程度的肢体无力,但是,对于术后长期的神经功能,多节段和少节段髓内肿瘤患者的差异无统计学意义(P=0.12),经过积极的功能锻炼,多节段髓内肿瘤患者的神经功能状况得以充分改善。结论:相比多节段髓内原发肿瘤患者,少节段髓内原发肿瘤患者围手术期的神经功能状况要好一些,尤其在肢体肌力方面,经积极功能锻炼,多节段髓内肿瘤患者的远期神经功能状况得以充分改善。展开更多
In this paper, the optimization of quantizer’s segment threshold is done. The quantizer is designed on the basis of approximative spline functions. Coefficients on which we form approximative spline functions are cal...In this paper, the optimization of quantizer’s segment threshold is done. The quantizer is designed on the basis of approximative spline functions. Coefficients on which we form approximative spline functions are calculated by minimization mean square error (MSE). For coefficients determined in this way, spline functions by which optimal compressor function is approximated are obtained. For the quantizer designed on the basis of approximative spline functions, segment threshold is numerically determined depending on maximal value of the signal to quantization noise ratio (SQNR). Thus, quantizer with optimized segment threshold is achieved. It is shown that by quantizer model designed in this way and proposed in this paper, the SQNR that is very close to SQNR of nonlinear optimal companding quantizer is achieved.展开更多
The authors have applied a systems analysis approach to describe the musculoskeletal system as consisting of a stack of superimposed kinematic hier-archical segments in which each lower segment tends to transfer its m...The authors have applied a systems analysis approach to describe the musculoskeletal system as consisting of a stack of superimposed kinematic hier-archical segments in which each lower segment tends to transfer its motion to the other superimposed segments. This segmental chain enables the derivation of both conscious perception and sensory control of action in space. This applied systems analysis approach involves the measurements of the complex motor behavior in order to elucidate the fusion of multiple sensor data for the reliable and efficient acquisition of the kinetic, kinematics and electromyographic data of the human spatial behavior. The acquired kinematic and related kinetic signals represent attributive features of the internal recon-struction of the physical links between the superimposed body segments. In-deed, this reconstruction of the physical links was established as a result of the fusion of the multiple sensor data. Furthermore, this acquired kinematics, kinetics and electromyographic data provided detailed means to record, annotate, process, transmit, and display pertinent information derived from the musculoskeletal system to quantify and differentiate between subjects with mobility-related disabilities and able-bodied subjects, and enabled an inference into the active neural processes underlying balance reactions. To gain insight into the basis for this long-term dependence, the authors have applied the fusion of multiple sensor data to investigate the effects of Cerebral Palsy, Multiple Sclerosis and Diabetic Neuropathy conditions, on biomechanical/neurophysiological changes that may alter the ability of the human loco-motor system to generate ambulation, balance and posture.展开更多
文摘A new algorithm, named segmented second empirical mode decomposition （EMD） algorithm, is proposed in this paper in order to reduce the computing time of EMD and make EMD algorithm available to online time-frequency analysis. The original data is divided into some segments with the same length. Each segment data is processed based on the principle of the first-level EMD decomposition. The algorithm is compared with the traditional EMD and results show that it is more useful and effective for analyzing nonlinear and non-stationary signals.
文摘目的:对比性分析少节段和多节段髓内原发性肿瘤患者神经功能和预后的差异。方法:选择北京大学第三医院2010年1月至2015年12月显微神经外科手术治疗髓内肿瘤患者进行回顾性分析,共收集病例135例,用IJOA(improved Japanese orthopaedic association)评分评估手术前后的神经功能状况。结果:在少节段和多节段髓内肿瘤患者中,术前IJOA评分(P=0.02)和术后早期IJOA评分(P=0.004)差异均有统计学意义,不论术前还是术后早期,少节段髓内肿瘤患者神经功能都较好一些,大部分多节段髓内肿瘤患者都有不同程度的肢体无力,但是,对于术后长期的神经功能,多节段和少节段髓内肿瘤患者的差异无统计学意义(P=0.12),经过积极的功能锻炼,多节段髓内肿瘤患者的神经功能状况得以充分改善。结论:相比多节段髓内原发肿瘤患者,少节段髓内原发肿瘤患者围手术期的神经功能状况要好一些,尤其在肢体肌力方面,经积极功能锻炼,多节段髓内肿瘤患者的远期神经功能状况得以充分改善。
基金Serbian Ministry of Education and Science through Mathematical Institute of Serbian Academy of Sciences and Arts(Project III44006)Serbian Ministry of Education and Science(Project TR32035)
文摘In this paper, the optimization of quantizer’s segment threshold is done. The quantizer is designed on the basis of approximative spline functions. Coefficients on which we form approximative spline functions are calculated by minimization mean square error (MSE). For coefficients determined in this way, spline functions by which optimal compressor function is approximated are obtained. For the quantizer designed on the basis of approximative spline functions, segment threshold is numerically determined depending on maximal value of the signal to quantization noise ratio (SQNR). Thus, quantizer with optimized segment threshold is achieved. It is shown that by quantizer model designed in this way and proposed in this paper, the SQNR that is very close to SQNR of nonlinear optimal companding quantizer is achieved.
文摘The authors have applied a systems analysis approach to describe the musculoskeletal system as consisting of a stack of superimposed kinematic hier-archical segments in which each lower segment tends to transfer its motion to the other superimposed segments. This segmental chain enables the derivation of both conscious perception and sensory control of action in space. This applied systems analysis approach involves the measurements of the complex motor behavior in order to elucidate the fusion of multiple sensor data for the reliable and efficient acquisition of the kinetic, kinematics and electromyographic data of the human spatial behavior. The acquired kinematic and related kinetic signals represent attributive features of the internal recon-struction of the physical links between the superimposed body segments. In-deed, this reconstruction of the physical links was established as a result of the fusion of the multiple sensor data. Furthermore, this acquired kinematics, kinetics and electromyographic data provided detailed means to record, annotate, process, transmit, and display pertinent information derived from the musculoskeletal system to quantify and differentiate between subjects with mobility-related disabilities and able-bodied subjects, and enabled an inference into the active neural processes underlying balance reactions. To gain insight into the basis for this long-term dependence, the authors have applied the fusion of multiple sensor data to investigate the effects of Cerebral Palsy, Multiple Sclerosis and Diabetic Neuropathy conditions, on biomechanical/neurophysiological changes that may alter the ability of the human loco-motor system to generate ambulation, balance and posture.
