Design and analysis of quantised coefficient digital filters: Application to biomedical signal processing with microprocessors

Thakor, Nitish V.; Moreau, D.

doi:10.1007/bf02442815

Cited by 16 publications

(3 citation statements)

References 9 publications

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“…The system was able to provide continuous and long term monitoring for high-risk patients. In 1987, filter design was illustrated in [144] for biomedical signal processing techniques. The filters were implemented on the ECG signals and quantization of filter coefficients was used to design various different filters with its implementation on 8 bit µprocessor.…”

Section: Computerized Automated Detections On Ecg For Cardiac Health Monitoring In Early Years [60's -90's]mentioning

confidence: 99%

Origins of ECG and Evolution of Automated DSP Techniques: A Review

Arora¹,

Mishra

2021

IEEE Access

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Over the years researchers have studied the evolution of Electrocardiogram (ECG) and the complex classification of cardiovascular diseases. This review focuses on the evolution of the ECG and covers the most recent signal processing schemes with milestones over the last 150 years in a systematic manner. Development phases of ECG, ECG leads, portable ECG monitors, Signal Processing schemes and Complex Transformations are discussed. This paper summarizes the development of ECG features detection for cardiac anomalies and the history of the development of ECG monitors, beginning from String Galvanometer. It also discusses the automated detections on ECG beginning from 1960 to the most recent signal processing techniques. Additionally, this paper provides recommendations.

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Section: Computerized Automated Detections On Ecg For Cardiac Health Monitoring In Early Years [60's -90's]mentioning

confidence: 99%

Origins of ECG and Evolution of Automated DSP Techniques: A Review

Arora¹,

Mishra

2021

IEEE Access

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“…The system was able to provide continuous and long term monitoring for high-risk patients. In 1987, filter design was illustrated in [81] for biomedical signal processing techniques. The filters were implemented on the ECG signals and quantisation of filter coeffi- cients were used to design various different filters with the its implementaion on 8 bit µprocessor.…”

Section: Cardiac Health Monitoring Schemesmentioning

confidence: 99%

Origins of ECG and Evolution of Automated DSP Techniques: A Review

Arora¹,

Mishra²

2021

Preprint

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“…Furthermore, it will enhance ECG editing [8] used to supplement advances in other technologies such as computer tomography used for cardiology [9]. Microprocessorbased even recorders have been commonly developed and used that carry out online signal processing, data reduction, and arrhythmia detection [10].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Fault-Tolerant Adaptive Filtering for Noisy ECG Signals

Zhang

2007

2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing

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Studies shows that Electrocardiogram (ECG) computer programs perform at least equally well as human observers in ECG measurement and coding, and can replace the cardiologist in epidemiological studies and clinical trials [1]. However, in order to also replace the cardiologist in clinical settings, such as for out-patients, better systems are required in order to reduce ambient noise while maintaining signal sensitivity. Therefore the objective of this work was to develop an adaptive filter to remove the contaminating signal in order to better obtain and interpret the electrocardiogram (ECG) data. To achieve reliability, the real-time computing systems must be fault-tolerant. This paper proposed a fault-tolerant adaptive filter for noise cancellation of ECG signals. Comparison of the performance and reliability of non-fault-tolerant and fault-tolerant adaptive filters are performed. Experimental results showed that the fault-tolerant adaptive filter not only successfully extract the ECG signals, but also is very reliable.

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Design and analysis of quantised coefficient digital filters: Application to biomedical signal processing with microprocessors

Cited by 16 publications

References 9 publications

Origins of ECG and Evolution of Automated DSP Techniques: A Review

Origins of ECG and Evolution of Automated DSP Techniques: A Review

Origins of ECG and Evolution of Automated DSP Techniques: A Review

Investigation of Fault-Tolerant Adaptive Filtering for Noisy ECG Signals

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