Skip to main content
Top

2021 | OriginalPaper | Chapter

Optimum Digital Filter Design for Removal of Different Noises from Biomedical Signals

Authors : Shailu Srivastava, Shruti Jain

Published in: Mobile Radio Communications and 5G Networks

Publisher: Springer Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The denoised signal with enhanced quality is utilized for correct analysis of biomedical signal. In real-time applications, these signals are mostly affected by distinct types of artefacts. The objective of this research paper is to design the optimum digital filter for the elimination of noises lies in high- and low-frequency bands. The proposed methodology is implemented using approximations and windowing techniques. The results of frequency responses of both the designed filters are evaluated and compared on the basis of pole–zero plot and gain. It is interpreted from the simulated results that the design technique with the help of Kaiser window results in −61.75 and −56.89 dB for high-frequency and low-frequency signals, respectively, while assuming shape parameter as 0.5. The proposed design method can be used in different digital signal processing applications.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Manolakis D, Proakis GJ. Digital signal processing principles, algorithms, and applications, 4th edn. Northeastern University Boston College Manolakis D, Proakis GJ. Digital signal processing principles, algorithms, and applications, 4th edn. Northeastern University Boston College
2.
go back to reference Jackson LB (2013) Digital filters and signal processing with MATLAB exercises, 3rd edn. Springer Science & Business Media Jackson LB (2013) Digital filters and signal processing with MATLAB exercises, 3rd edn. Springer Science & Business Media
3.
go back to reference Prashar N, Dogra J, Sood M, Jain S (2018) Removal of electromyography noise from ECG for high performance biomedical systems. Netw Biol 8(1):12–24 Prashar N, Dogra J, Sood M, Jain S (2018) Removal of electromyography noise from ECG for high performance biomedical systems. Netw Biol 8(1):12–24
4.
go back to reference Prashar N, Jain S, Sood M, Dogra J (2017) Review of biomedical system for high performance applications. In: 4th IEEE International conference on signal processing and control (ISPCC 2017), Jaypee University of Information technology, Waknaghat, Solan, HP, India, pp 300–304, 21–23 Sept 2017 Prashar N, Jain S, Sood M, Dogra J (2017) Review of biomedical system for high performance applications. In: 4th IEEE International conference on signal processing and control (ISPCC 2017), Jaypee University of Information technology, Waknaghat, Solan, HP, India, pp 300–304, 21–23 Sept 2017
5.
go back to reference Kirti, Sohal H, Jain S (2019) FPGA implementation of power-efficient ECG pre-processing block. Int J Recent Technol Eng 8(1):2899–2904 Kirti, Sohal H, Jain S (2019) FPGA implementation of power-efficient ECG pre-processing block. Int J Recent Technol Eng 8(1):2899–2904
6.
go back to reference Prashar N, Sood M, Jain S (2019) Design and performance analysis of cascade digital filter for ECG signal processing. Int J Innov Technol Exploring Eng 8(8):2659–2665 Prashar N, Sood M, Jain S (2019) Design and performance analysis of cascade digital filter for ECG signal processing. Int J Innov Technol Exploring Eng 8(8):2659–2665
7.
go back to reference Pun CKS, Chan SC, Yeung KS, Ho KL (2002) On the design and implementation of FIR and IIR digital filters with variable frequency characteristics. IEEE Trans Circ Syst—II: Analog Digital Signal Proc 49(11):689–703 Pun CKS, Chan SC, Yeung KS, Ho KL (2002) On the design and implementation of FIR and IIR digital filters with variable frequency characteristics. IEEE Trans Circ Syst—II: Analog Digital Signal Proc 49(11):689–703
8.
go back to reference Barnela M, Kumar S, Kaushik A, Satvika (2014) Implementation and Performance Estimation of FIR Digital Filters using MATLAB Simulink Int J Eng Adv Technol 3(5):62–65 Barnela M, Kumar S, Kaushik A, Satvika (2014) Implementation and Performance Estimation of FIR Digital Filters using MATLAB Simulink Int J Eng Adv Technol 3(5):62–65
9.
go back to reference Wang X, Meng X, He Y (2006) A novel neural networks-based approach for designing FIR filters. In: Proceedings of the 6th world congress on intelligent control and automation, 21–23 June 2006, Dalian, China, pp 4029–4032 Wang X, Meng X, He Y (2006) A novel neural networks-based approach for designing FIR filters. In: Proceedings of the 6th world congress on intelligent control and automation, 21–23 June 2006, Dalian, China, pp 4029–4032
10.
go back to reference Schaumann R, Xiao H, Mac VV (2009) Design of analog filters, 2nd edn. The Oxford Series in Electrical and Computer Engineering Schaumann R, Xiao H, Mac VV (2009) Design of analog filters, 2nd edn. The Oxford Series in Electrical and Computer Engineering
11.
go back to reference Rahul (2019) Signal processing techniques for removing noise from ECG signals. J Biomed Eng Res 1–9 Rahul (2019) Signal processing techniques for removing noise from ECG signals. J Biomed Eng Res 1–9
12.
go back to reference Alarcon G, Guy CN, Binnie CD (2000) A simple algorithm for a digital three pole Butterworth filter of arbitrary cut-off frequency: application to digital electroencephalography. J Neurosci Methods 104(1):35–44CrossRef Alarcon G, Guy CN, Binnie CD (2000) A simple algorithm for a digital three pole Butterworth filter of arbitrary cut-off frequency: application to digital electroencephalography. J Neurosci Methods 104(1):35–44CrossRef
13.
go back to reference Gaikward KM, Chavan MS (2014) Removal of high frequency noise from ECG signal using digital IIR butterworth filter. IEEE Glob Conf Wireless Comput Netw (GCWCN) 2014 121–124 Gaikward KM, Chavan MS (2014) Removal of high frequency noise from ECG signal using digital IIR butterworth filter. IEEE Glob Conf Wireless Comput Netw (GCWCN) 2014 121–124
14.
go back to reference Rahman MA, Milu1 MMH, Anjum A, Khanam F, Ahmad M (2017) Baseline wandering removal from ECG signal by wandering path finding algorithm. In: 3rd International conference on electrical information and communication technology (EICT), 7–9 Dec 2017 Rahman MA, Milu1 MMH, Anjum A, Khanam F, Ahmad M (2017) Baseline wandering removal from ECG signal by wandering path finding algorithm. In: 3rd International conference on electrical information and communication technology (EICT), 7–9 Dec 2017
15.
go back to reference Bhaskara PC, Uplaneb MD (2016) High frequency electromyogram noise removal from electrocardiogram using FIR low pass filter based on FPGA. Global colloquium in recent advancement and effectual researches in engineering, science and technology (RAEREST 2016) pp 497–504 Bhaskara PC, Uplaneb MD (2016) High frequency electromyogram noise removal from electrocardiogram using FIR low pass filter based on FPGA. Global colloquium in recent advancement and effectual researches in engineering, science and technology (RAEREST 2016) pp 497–504
16.
go back to reference Aswathy V, Soniy P. Noise analysis and different denoising techniques of ECG signal—a survey. IOSR J Electron Commun Eng (IOSR-JECE) pp 40–44 Aswathy V, Soniy P. Noise analysis and different denoising techniques of ECG signal—a survey. IOSR J Electron Commun Eng (IOSR-JECE) pp 40–44
17.
go back to reference Bhogeshwar SS, Soni MK, Bansal D (2014) Design of simulink model to denoise ECG signal using various IIR and FIR filters. In: 2014 international conference on reliability, optimization and information technology—ICROIT 2014. India. 6–8 Feb 2014, pp 477–483 Bhogeshwar SS, Soni MK, Bansal D (2014) Design of simulink model to denoise ECG signal using various IIR and FIR filters. In: 2014 international conference on reliability, optimization and information technology—ICROIT 2014. India. 6–8 Feb 2014, pp 477–483
18.
go back to reference Subhadeep C (2013) Advantages of Blackman window over hamming window method for designing FIR filter. Int J Comput Sci Eng Technol 4(8):1181–1189 Subhadeep C (2013) Advantages of Blackman window over hamming window method for designing FIR filter. Int J Comput Sci Eng Technol 4(8):1181–1189
Metadata
Title
Optimum Digital Filter Design for Removal of Different Noises from Biomedical Signals
Authors
Shailu Srivastava
Shruti Jain
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-7130-5_30