Comparative Analysis of Multisine and Binary Excitation Signals for Human Body Analysis

نویسندگان

  • D. K. Kamat
  • Varsha Patil
چکیده

Bioimpedance analysis (BIA) is a potential field and clinical method for evaluating fat percentage and body mass. Multi-frequency bioimpedance monitoring methodology used for the analysis purpose is a widely used method to estimate body composition. The multifrequency bioimpedance analysis using network analyzer is a relatively quick, simple and non-invasive technique to measure body composition. The multisine and binary waveforms can be used as multifrequency excitation signals in measurement of impedance spectrum of biological objects. By adjusting the phases of the desired spectral components the multisine excitation signal can be optimized. Keywords— Multifrequency, Multisegment, Multisine,

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sequential Multisine Excitation Signals for System

Linear system identification of complex nonlinear systems, such as large space structures, can be difficult because such systems are often lightly damped, have dense modal spacing, respond to disturbances over a large frequency bandwidth, and exhibit nonlinear responses. Many excitation signals used to collect frequency response data for linear system identification are poorly suited to systems...

متن کامل

A biomechanical modeling of an automotive passenger body to investigate the vertical vibration in various road profiles using transmissibility analysis

In the current paper, a biomechanical model of human body with unique structure is developed for evaluating the biodynamic responses, the vibration transmissibility and the transmitted accelerations to vertical vibration for the seated position with ignoring backrest support. In this regard, the 6-DoF Lumped-parameter model with six concentrated masses which are connected with linear springs an...

متن کامل

Comparative Analysis of Neural Network Training Methods in Real-time Radiotherapy

Background: The motions of body and tumor in some regions such as chest during radiotherapy treatments are one of the major concerns protecting normal tissues against high doses. By using real-time radiotherapy technique, it is possible to increase the accuracy of delivered dose to the tumor region by means of tracing markers on the body of patients.Objective: This study evaluates the accuracy ...

متن کامل

The Comparison of Room Impulse Response Measuring Systems

This paper describes cross-correlation based systems for the estimation of the room impulse response. A various types of excitation signals are used: white noise, pink noise, swept-sine, MLS, and random phase multisine. Criteria to evaluate the quality of the impulse response estimation were: a) random and stationary noise rejection, b) rejection of nonlinearities introduced by measuring system...

متن کامل

Combined Unfolded Principal Component Analysis and Artificial Neural Network for Determination of Ibuprofen in Human Serum by Three-Dimensional Excitation–Emission Matrix Fluorescence Spectroscopy

This study describes a simple and rapid approach of monitoring ibuprofen (IBP). Unfolded principal component analysis-artificial neural network (UPCA-ANN) and excitation-emission spectra resulted from spectrofluorimetry method were combined to develop new model in the determination of IBF in human serum samples. Fluorescence landscapes with excitation wavelengths from 235 to 265 nm and emission...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015