IEICE TRANSACTIONS on Information
Real-Time Restoration of Nonstationary Biomedical Signals under Additive Noises
Summary :
In the present paper we shall examine the real-time restoration of biomedical signals under additive noises. Biomedical signals measured by instruments such as catheter manometers, ambulatory electrocardiographs and thermo-dilution sensors are susceptible to distortion and noise. Therefore, such signals must be restored to their original states. In the present study, nonstationary biomedical signals are observed and described using a mathematical model, and several restoration filters that are composed of a series of applications of this model are proposed. These filters restored band-limited approximations of the original signals in real-time. In addition, redundancy is introduced into these restoration filters in order to suppress additive noise. Finally, an optimum filter that accounts for restoration error and additive noise is proposed.
- Publication
- IEICE TRANSACTIONS on Information Vol.E82-D No.10 pp.1409-1416
- Publication Date
- 1999/10/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Medical Electronics and Medical Information
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Junichi HORI, Yoshiaki SAITOH, Tohru KIRYU, "Real-Time Restoration of Nonstationary Biomedical Signals under Additive Noises" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 10, pp. 1409-1416, October 1999, doi: .
Abstract: In the present paper we shall examine the real-time restoration of biomedical signals under additive noises. Biomedical signals measured by instruments such as catheter manometers, ambulatory electrocardiographs and thermo-dilution sensors are susceptible to distortion and noise. Therefore, such signals must be restored to their original states. In the present study, nonstationary biomedical signals are observed and described using a mathematical model, and several restoration filters that are composed of a series of applications of this model are proposed. These filters restored band-limited approximations of the original signals in real-time. In addition, redundancy is introduced into these restoration filters in order to suppress additive noise. Finally, an optimum filter that accounts for restoration error and additive noise is proposed.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_10_1409/_p
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@ARTICLE{e82-d_10_1409,
author={Junichi HORI, Yoshiaki SAITOH, Tohru KIRYU, },
journal={IEICE TRANSACTIONS on Information},
title={Real-Time Restoration of Nonstationary Biomedical Signals under Additive Noises},
year={1999},
volume={E82-D},
number={10},
pages={1409-1416},
abstract={In the present paper we shall examine the real-time restoration of biomedical signals under additive noises. Biomedical signals measured by instruments such as catheter manometers, ambulatory electrocardiographs and thermo-dilution sensors are susceptible to distortion and noise. Therefore, such signals must be restored to their original states. In the present study, nonstationary biomedical signals are observed and described using a mathematical model, and several restoration filters that are composed of a series of applications of this model are proposed. These filters restored band-limited approximations of the original signals in real-time. In addition, redundancy is introduced into these restoration filters in order to suppress additive noise. Finally, an optimum filter that accounts for restoration error and additive noise is proposed.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Real-Time Restoration of Nonstationary Biomedical Signals under Additive Noises
T2 - IEICE TRANSACTIONS on Information
SP - 1409
EP - 1416
AU - Junichi HORI
AU - Yoshiaki SAITOH
AU - Tohru KIRYU
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 1999
AB - In the present paper we shall examine the real-time restoration of biomedical signals under additive noises. Biomedical signals measured by instruments such as catheter manometers, ambulatory electrocardiographs and thermo-dilution sensors are susceptible to distortion and noise. Therefore, such signals must be restored to their original states. In the present study, nonstationary biomedical signals are observed and described using a mathematical model, and several restoration filters that are composed of a series of applications of this model are proposed. These filters restored band-limited approximations of the original signals in real-time. In addition, redundancy is introduced into these restoration filters in order to suppress additive noise. Finally, an optimum filter that accounts for restoration error and additive noise is proposed.
ER -
English
