Adaptive Motion Artifacts Reduction Using 3-axis Accelerometer in E-textile ECG Measurement System

Yoon, Sung Won; Min, Se Dong; Yun, Yonghyeon; Lee, Seungpyo; Lee, Myoungho

doi:10.1007/s10916-007-9112-x

Cited by 56 publications

(25 citation statements)

References 9 publications

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“…Compared to various motion artifact reduction systems [6], [7], [18], [19], where multiple ECG leads or signals other than the ECG need to be stored, the memory efficiency is retained. The proposed reconstruction algorithm that simply inverts the offset shift is not lossless mainly due to the non-linearity error of the DAC.…”

Section: Discussionmentioning

confidence: 99%

“…However, the MC simulations, the synthetic ECG signal analysis and selected in vivo measured ECG signal segments showed that the BWT prevents signal saturation episodes due to high baseline wander or motion artifacts. This is a clear advantage compared to more complex methods like adaptive filtering [6], [7], [18], [19] or source separation techniques [21] that filter the ECG in real-time but do not strictly avoid signal saturation. Thus, the relevant step towards high accurate long-term signals without major ECG data losses as were observed in Fig.…”

Section: Discussionmentioning

confidence: 99%

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A Baseline Wander Tracking System for Artifact Rejection in Long-Term Electrocardiography

Niederhäuser

Marisa

Kohler

et al. 2016

IEEE Trans. Biomed. Circuits Syst.

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Long-term electrocardiogram (ECG) signals might suffer from relevant baseline disturbances during physical activity. Motion artifacts in particular are more pronounced with dry surface or esophageal electrodes which are dedicated to prolonged ECG recording. In this paper we present a method called baseline wander tracking (BWT) that tracks and rejects strong baseline disturbances and avoids concurrent saturation of the analog front-end. The proposed algorithm shifts the baseline level of the ECG signal to the middle of the dynamic input range. Due to the fast offset shifts, that produce much steeper signal portions than the normal ECG waves, the true ECG signal can be reconstructed offline and filtered using computationally intensive algorithms. Based on Monte Carlo simulations we observed reconstruction errors mainly caused by the non-linearity inaccuracies of the DAC. However, the signal to error ratio of the BWT is higher compared to an analog front-end featuring a dynamic input ranges above 15 mV if a synthetic ECG signal was used. The BWT is additionally able to suppress (electrode) offset potentials without introducing long transients. Due to its structural simplicity, memory efficiency and the DC coupling capability, the BWT is dedicated to high integration required in long-term and low-power ECG recording systems.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Baseline Wander Tracking System for Artifact Rejection in Long-Term Electrocardiography

Niederhäuser

Marisa

Kohler

et al. 2016

IEEE Trans. Biomed. Circuits Syst.

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show abstract

“…Different varieties of adaptive filters have been applied to this problem including least mean squares (LMS) [7]- [9], recursive least squares (RLS), [10], [11], normalized LMS (NLMS) [12], and normalized signed regressor LMS [13]. Despite the popularity of adaptive filters, there is a disadvantage associated with them.…”

Section: Introductionmentioning

confidence: 99%

Epsilon-Tube Filtering: Reduction of High-Amplitude Motion Artifacts From Impedance Plethysmography Signal

Ansari

Ward

Najarian

2015

IEEE J. Biomed. Health Inform.

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The impedance plethysmography (IP) has long been used to monitor respiration. The IP signal is also suitable for portable monitoring of respiration due to its simplicity. However, this signal is very susceptible to motion artifact (MA). As a result, MA reduction is an indispensable part of portable acquisition of the IP signal. Often, the amplitude of the MA is much larger than the amplitude of the respiratory component in the IP signal. This study proposes a novel filtering method to remove the high-amplitude MA's from the IP signal. The proposed method combines the idea of ε-tube loss function and an autoregressive exogenous model to estimate the MA while leaving the periodic respiratory component of the IP signal intact. Also, a regularization method is used to find the best filter coefficients that maximize the regularity of the output signal. The results indicate that the proposed method can effectively remove the MA, outperforming the popular MA reduction methods. Several different performance measures are used for the comparison and the differences are found to be statistically significant.

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“…Patel et al [5] presents a more broader review of the wearable systems in home rehabilitation and early detection of disorders in health applications. The use of accelerometer sensors for removing motion artifacts in the wearable ECG sensor has been discussed in [12].…”

Section: Introductionmentioning

confidence: 99%

Design and development of wearable sensor textile for precision agriculture

Patil

Jagyasi

Raval

et al. 2015

2015 7th International Conference on Communication Systems and Networks (COMSNETS)

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In last decade, there has been immense focus on the detection of human activities using wearable sensors for applications such as health-care and fitness. In this paper we focus on agriculture applications and present a wearable sensor shirt, which can be conveniently worn by the farmers for the detection of the agriculture activities like digging, harvesting and bed making. The knowledge of agricultural activities being performed on the farm is important for rendering the advisory services to the remotely located farmers in order to improve their crop yield. We have designed a wearable sensor shirt with acceleration sensors stitched to the wrists and interfaced to the mobile phone through an arduino board. The experimental results depict the detection of various agricultural activities like Manual digging, Harvesting, Bed making and Sowing. A comparative analysis in terms of classification accuracy has been performed by considering different number of sensors and their placement on the farmer's body. 978-1-4799-8439-8/15/$31.00

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Adaptive Motion Artifacts Reduction Using 3-axis Accelerometer in E-textile ECG Measurement System

Cited by 56 publications

References 9 publications

A Baseline Wander Tracking System for Artifact Rejection in Long-Term Electrocardiography

A Baseline Wander Tracking System for Artifact Rejection in Long-Term Electrocardiography

Epsilon-Tube Filtering: Reduction of High-Amplitude Motion Artifacts From Impedance Plethysmography Signal

Design and development of wearable sensor textile for precision agriculture

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