IEEE Organizations related to Motion Artifacts

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Conferences related to Motion Artifacts

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE International Conference on Consumer Electronics (ICCE)

The International Conference on Consumer Electronics (ICCE) is soliciting technical papersfor oral and poster presentation at ICCE 2018. ICCE has a strong conference history coupledwith a tradition of attracting leading authors and delegates from around the world.Papers reporting new developments in all areas of consumer electronics are invited. Topics around the major theme will be the content ofspecial sessions and tutorials.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


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Periodicals related to Motion Artifacts

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No periodicals are currently tagged "Motion Artifacts"


Most published Xplore authors for Motion Artifacts

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Xplore Articles related to Motion Artifacts

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The Photoelectric Acquisition and Motion Artifact Elimination of Photoplethysmographic Signals

2017 Asia Communications and Photonics Conference (ACP), 2017

In this paper we proposed a photoelectric acquisition and motion artifact elimination scheme of PPG signals. Two different lights and a simultaneous accelerator are employed in the optical sensors. An efficient algorithm that eliminate the motion artifact is proposed. Its effectiveness is demonstrated with experiments.


Low power, low area, analog blink restoration system with auto sleep mode for unilateral facial paralysis patients

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2017

Functional Electrical Stimulation is considered as one of the potential solutions for restoring the functionality of orbicularis oculi (a muscle that is responsible for eye-lid closure) in the patients suffering from Bells palsy. In this paper, we propose a synchronized blink function restoration system, wherein, the muscular activity of the healthy orbicularis oculi is sensed using EMG electrodes and a ...


Estimation of Beat-to-Beat Interval from Wearable Photoplethysmography Sensor on Different Measurement Sites During Daily Activities

2018 IEEE SENSORS, 2018

In this study, we present an algorithm to detect beat-to-beat interval from PPG in the presence of motion artifacts. Our approach includes splitting slowly varying DC components, statistical detrending, and Bessel filtering and Fast Fourier Transform with square window to reduce motion artifacts dependent on spectrum analysis. The algorithm segments beat intervals with a spectrogram to find the characteristic points ...


Research on Non-contact Heart Rate Signal Detection Based on Video Image

2018 IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), 2018

In this paper, the heart rate signal is extracted from the video containing the frontal face using the principle of Cosmography. The separation of the face and the video background area is used to remove the motion artifacts generated by the motion of the subject and the interference of the physiological motion. Furthermore, removing the motion artifacts for the ROI ...


Design Optimization of DSP for Wearable Biomedical Device

2017 IEEE International Symposium on Nanoelectronic and Information Systems (iNIS), 2017

Recent trends towards low power and miniaturized wearable healthcare devices require careful selection of computing modules to be integrated. On-device computing can help extract and transmit only the essential features of the target biomedical signals, thereby leading to reduced power consumption due to wireless communication. However, prior to such information extraction, tackling signal non-idealities, like noise, offset and motion-artifact becomes ...


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Educational Resources on Motion Artifacts

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IEEE-USA E-Books

  • The Photoelectric Acquisition and Motion Artifact Elimination of Photoplethysmographic Signals

    In this paper we proposed a photoelectric acquisition and motion artifact elimination scheme of PPG signals. Two different lights and a simultaneous accelerator are employed in the optical sensors. An efficient algorithm that eliminate the motion artifact is proposed. Its effectiveness is demonstrated with experiments.

  • Low power, low area, analog blink restoration system with auto sleep mode for unilateral facial paralysis patients

    Functional Electrical Stimulation is considered as one of the potential solutions for restoring the functionality of orbicularis oculi (a muscle that is responsible for eye-lid closure) in the patients suffering from Bells palsy. In this paper, we propose a synchronized blink function restoration system, wherein, the muscular activity of the healthy orbicularis oculi is sensed using EMG electrodes and a corresponding triggering pulse is provided to the non-functional muscle almost instantaneously. In this paper, we present the design of a low power blink restoration system comprising only low power analog blocks. The noise cancellation and filtration which typically is carried out in digital domain is replaced with a simple analog architecture. This resulted in a two fold reduction in power and more than hundred fold reduction in area. Furthermore, the designed system takes care of any false positives due to motion artifact. A simple mono-stable system based auto sleep mode is implemented to save power when the system is not in use. This analog blink restoration system designed in UMC 180nm CMOS technology has a Pre- amplifier gain of 20dB at 270Hz to 470Hz, CMRR > 70dB, input referred noise of less than 2 μVrms. It consumes power of 6 μW at 1.2V supply voltage and an area of 0.095 mm2.

  • Estimation of Beat-to-Beat Interval from Wearable Photoplethysmography Sensor on Different Measurement Sites During Daily Activities

    In this study, we present an algorithm to detect beat-to-beat interval from PPG in the presence of motion artifacts. Our approach includes splitting slowly varying DC components, statistical detrending, and Bessel filtering and Fast Fourier Transform with square window to reduce motion artifacts dependent on spectrum analysis. The algorithm segments beat intervals with a spectrogram to find the characteristic points of the waveform such as systolic and diastolic points. Interbeat intervals (IBI) are determined from these characteristic points to calculate heart rate. The PPG IBI algorithm is validated against ECG RR intervals from five different measurement sites during three daily activities. The results show that the most accurate IBI and HR detection from a wearable PPG device during regular user activity is from the upper arm or finger.

  • Research on Non-contact Heart Rate Signal Detection Based on Video Image

    In this paper, the heart rate signal is extracted from the video containing the frontal face using the principle of Cosmography. The separation of the face and the video background area is used to remove the motion artifacts generated by the motion of the subject and the interference of the physiological motion. Furthermore, removing the motion artifacts for the ROI region and extracting the original signals of the ROI region and the background region respectively, and combining the normalized adaptive filtering algorithm to remove the interference of the ambient light to the heart rate signal, then removing the heart rate signal by the time domain filtering. Heart rate values were extracted using periodic analysis. It is found through experiments that the heart rate test is more efficient under the conditions of ambient light changes, indicating that the scheme has better stability under the environmental illumination changes.

  • Design Optimization of DSP for Wearable Biomedical Device

    Recent trends towards low power and miniaturized wearable healthcare devices require careful selection of computing modules to be integrated. On-device computing can help extract and transmit only the essential features of the target biomedical signals, thereby leading to reduced power consumption due to wireless communication. However, prior to such information extraction, tackling signal non-idealities, like noise, offset and motion-artifact becomes crucial. While, noise and offset considerations may be addressed in the analog domain, the residual motion artifact often mandates digital domain processing. In this work, we present the system design for photo-plethysmographic (PPG) signal acquisition and processing, where low power custom DSP is designed to minimize the motion artifact (MA), prior to on-device feature extraction and classification. In order to retain the benefits of on-device information extraction, the DSP of MA-removal must be power constrained. We propose a computationally efficient method for MA removal that employs a low power noise-estimation block and adaptive filter for fast MA tracking and removal (MAR). Our proposed algorithm has been implemented in Verilog and synthesized using synopsys in 180nm CMOS technology. This custom DSP draws 750nW of power from a supply of 2V.

  • Motion Artifact Removal for PPG Signals based on Accurate Fundamental Frequency Estimation and Notch Filtering

    This study proposes a new method for motion artifact (MA) removal in Photoplethysmography (PPG) signal that combines accurate heart rate (HR) frequency estimation and notch filtering. The method applies LMS-Newton adaptive filtering to reduce motion artifact noise and uses a novel HR correction stage for accurate HR frequency estimation. Notch filters are used to recover clean PPG signal from HR frequency and second harmonic frequency of PPG. On a widely used dataset of 12 recordings, our method achieves an averaged HR error of 0. 92bpm and a Pearson correlation of 0.997. Experimental results further show that our method can recover the PPG waveform with clear dicrotic peaks even for strongly MA-corrupted PPG signal.

  • Full characterization and removal of motion artifacts from scalp EEG recordings

    Non-invasive scalp electroencephalogram (EEG) measurements allow for the development of biomedical devices that can be controlled via Brain-Machine Interface (BMI) systems. There are various applications of such systems for scientific, diagnostic, therapeutic, or restorative purposes. However, EEG recordings are often considered as prone to physiological and non- physiological artifacts of different types and frequency characteristics. Motion related non-physiological artifacts can be considered as one of the major contaminants of EEG recordings. Motion artifacts manifest themselves especially for mobile EEG recordings (i.e., Mobi applications) due to the movement of one or several EEG sensors, which may be time-locked with the actual motion that the subjects execute. Artifacts with these characteristics can hinder the true performance of BMI applications, especially when real-time mobile applications are considered (i.e., wearable robotic systems and exoskeletons). Although there several published research efforts to investigate the motion artifacts, there is currently no consensus on the exact characteristics and suitable real-time and/or offline removal methodologies of such artifacts.

  • Improved focusing method for 3-D imaging using row-column addressed 2-D arrays

    A row-column-addressed (RCA) 2-D array can be interpreted as two orthogonal 1-D arrays. Since the transmit and receive 1-D arrays are orthogonal to each other, only one-way focusing is possible in each transmit or receive plane. By transmitting with row elements and receiving the echoes through column elements, a rectilinear volume in front of the array can be beamformed. This study suggests to use the RF-data received by the row elements as well as the column elements to improve the focusing. This study investigates the performance of the new focusing scheme based on simulations in Field II in terms of full-width-at-half-maximum (FWHM) and cystic resolution (CR).

  • An implementation of motion artifacts elimination for PPG signal processing based on recursive least squares adaptive filter

    In Photoplethysmographic (PPG) signals analysis, the accuracy and stability are highly affected by Motion Artifacts (MAs) disturbances. In this paper, we adopt an adaptive and efficient approach based on the developed DC Remover method and Recursive Least Squares (RLS) adaptive filter for reducing MAs from PPG signals in real time. The experimental results of this work show a high correlation coefficient between Electrocardiography (ECG)-derived heart rate and PPG-derived heart rate, which is higher than 0.8504 of the R value, a high agreement by Bland-Altman analysis in the limits of agreement represent the 95% confidence interval and the standard deviation is 3.81 BPM (Beats Per Minutes). An overall PPG signal with higher signal quality is obtained. Further, the precision of heart rate calculated by PPG is improved.

  • Heart Rate Estimation from Wrist-Type Photoplethysmographic Signals Corrupted by Intense Motion Artifacts using NLMS Adaptive Filter and Spectral Peak Tracking

    Current advances in sensor and microelectronics technology have enable real- time non-invasive Heart Rate (HR) monitoring on wearable devices. Wrist-type Photoplethysmography is one of the most widely used methods to estimate HR in wearable devices. However, Photoplethysmographic (PPG) signals are strongly affected by Motion Artifacts (MA) caused by body movements. This paper presents a method of estimating heart rate from wrist-type photoplethysmographic signals during fast running of increasing speed peaking at 15km/hour. Our proposed method successfully suppresses the motion artifacts by using Normalized Least Mean Square (NLMS) adaptive filter and Spectral Peak Tracking (SPT). The proposed method was tested on datasets recorded from 12 subjects available from IEEE Signal Processing Cup 2015 [7]. Our algorithm produces HR estimations with mean absolute error of 1.57 beat per minute and the standard deviation of 1.11 beat per minute.



Standards related to Motion Artifacts

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Jobs related to Motion Artifacts

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