Reduction of motion artifacts using a two-frequency impedance plethysmograph and adaptive filtering

Rosell, J.; Cohen, K.P.; Webster, John G.

doi:10.1109/10.464380

Cited by 26 publications

(10 citation statements)

References 9 publications

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“…The steady and pulsatile components of the PPG signal. dardization of cuff application and automation of the pressure measurements [39]. This showed that systolic ankle pressure measurements could become less operator dependent [40].…”

Section: Ppg and Ankle Brachial Pressure Indexmentioning

confidence: 98%

Optical Techniques in the Assessment of Peripheral Arterial Disease

Alnaeb¹,

Alobaid²,

Seifalian³

et al. 2007

CVP

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A variety of optical techniques have been developed over the years for experimental use in vascular disease, mainly for the assessment of lower limb peripheral arterial disease (PAD). Optical techniques have several advantages over more traditional experimental approaches. Photoplethysmograph (PPG) was one of the earliest methods used for this purpose; PPG satisfies many of the conditions for a non-invasive technique to estimate skin blood flow using infrared light, not only for research but also in clinical practice. PPG is a promising, safe and easy-to-use tool for diagnosis and early screening of various atherosclerotic pathologies and could be useful for regular GP-assessment or even self-monitoring of PAD at home or during individual physical exercises. This review discusses the application of PPG in the assessment of PAD.

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Section: Ppg and Ankle Brachial Pressure Indexmentioning

confidence: 98%

Optical Techniques in the Assessment of Peripheral Arterial Disease

Alnaeb¹,

Alobaid²,

Seifalian³

et al. 2007

CVP

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show abstract

“…However, motion is another main source of blood volume variation. Motion can create drastic variations in the measured IP signal [18]- [22], resulting in artifacts whose amplitudes are much larger than the amplitude of the respiratory component in many cases [23]. As a result, it is necessary to use filtering methods to eliminate MA's before the signal can be used to monitor respiration.…”

Section: Impedance Plethysmography and Respiratory Ratementioning

confidence: 99%

“…The Pearson correlation coefficient between S p,n g −y and S q,n g −y is defined as r pq = s pq √ s pp s qq (23) where s pq is the covariance between S p,n g −y and S q,n g −y and s pp is the variance of S p,n g −y . Thus,…”

Section: Gradientsmentioning

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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“…For the realization of the respiration sensor we decided against RIP-based sensors as they are still relatively expensive and difficult to handle [1]. Furthermore, we excluded impedance plethysmography because of its sensitivity to body movements [11] which would result in motion related artifacts during physical exercise. Our initial choice was a piezoelectric film, but during preliminary tests we observed a high edge steepness in relation to the applied pressure during in-and exhalation.…”

Section: Construction Of Respiration Sensormentioning

confidence: 99%

A respiration sensor for a chest-strap based wireless body sensor

Hesse

Christ

Hörmann

et al. 2014

IEEE SENSORS 2014 Proceedings

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Abstract-In this paper we present a respiration sensor suitable for an integration into a wireless body sensor worn around the chest. The thorax expansion and contraction during in-and exhalation is captured using a force-sensing resistor. Based on the captured thoracic movements, the breaths are determined with a peak detection algorithm. For evaluation, a treadmill experiment with five subjects was conducted using an ergospirometry system as a reference. Overall, an average deviation of -0.32 ±0.68 min -1 in the respiration rate between the ergospirometry and our sensor was observed. In general, the captured thoracic movements showed breaths as distinctive oscillations, but in some cases a non-optimal pressure transfer between thorax and sensor was observed. Therefore, a mechanical housing mechanism was developed. A comparison of our construction with a respiratory inductance plethysmography (RIP)-based sensor shows a close relationship with the captured thoracic movements during normal and deep respiration.

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Reduction of motion artifacts using a two-frequency impedance plethysmograph and adaptive filtering

Cited by 26 publications

References 9 publications

Optical Techniques in the Assessment of Peripheral Arterial Disease

Optical Techniques in the Assessment of Peripheral Arterial Disease

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

A respiration sensor for a chest-strap based wireless body sensor

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