scholarly journals A Hybrid Wavelet-Based Method for the Peak Detection of Photoplethysmography Signals

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Suyi Li ◽  
Shanqing Jiang ◽  
Shan Jiang ◽  
Jiang Wu ◽  
Wenji Xiong ◽  
...  
Keyword(s):  
Pulse Rate ◽  
Hybrid Method ◽  
Motion Artifacts ◽  
Heart Rate Variability Analysis ◽  
Peripheral Oxygen Saturation ◽  
Quadratic Spline ◽  
Baseline Drift ◽  
Peak Recognition ◽  
Wavelet Modulus Maximum

The noninvasive peripheral oxygen saturation (SpO2) and the pulse rate can be extracted from photoplethysmography (PPG) signals. However, the accuracy of the extraction is directly affected by the quality of the signal obtained and the peak of the signal identified; therefore, a hybrid wavelet-based method is proposed in this study. Firstly, we suppressed the partial motion artifacts and corrected the baseline drift by using a wavelet method based on the principle of wavelet multiresolution. And then, we designed a quadratic spline wavelet modulus maximum algorithm to identify the PPG peaks automatically. To evaluate this hybrid method, a reflective pulse oximeter was used to acquire ten subjects’ PPG signals under sitting, raising hand, and gently walking postures, and the peak recognition results on the raw signal and on the corrected signal were compared, respectively. The results showed that the hybrid method not only corrected the morphologies of the signal well but also optimized the peaks identification quality, subsequently elevating the measurement accuracy of SpO2 and the pulse rate. As a result, our hybrid wavelet-based method profoundly optimized the evaluation of respiratory function and heart rate variability analysis.

scholarly journals Development of a Wearable Reflection-Type Pulse Oximeter System to Acquire Clean PPG Signals and Measure Pulse Rate and SpO2 with and without Finger Motion

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1905
Author(s):  
Partha Pratim Banik ◽  
Shifat Hossain ◽  
Tae-Ho Kwon ◽  
Hyoungkeun Kim ◽  
Ki-Doo Kim
Keyword(s):  
Pulse Rate ◽  
Pulse Oximeter ◽  
Electronic Circuit ◽  
Absolute Error ◽  
Motion Artifact ◽  
Motion Artifacts ◽  
Percentage Error ◽  
Signal Acquisition ◽  
Analog Filter ◽  
Finger Motion

Clinical devices play a vital role in diagnosing and monitoring people’s health. A pulse oximeter (PO) is one of the most common clinical devices for critical medical care. In this paper, we explain how we developed a wearable PO. We propose a new electronic circuit based on an analog filter that can separate red and green photoplethysmography (PPG) signals, acquire clean PPG signals, and estimate the pulse rate (PR) and peripheral capillary oxygen saturation (SpO2). We propose a PR and SpO2 measurement algorithm with and without the motion artifact. We consider three types of motion artifacts with our acquired clean PPG signal from our proposed electronic circuit. To evaluate our proposed algorithm, we measured the accuracy of our estimated SpO2 and PR. To evaluate the quality of our estimated PR (bpm) and SpO2 (%) with and without the finger motion artifact, we used the quality evaluation metrics: mean absolute percentage error (MAPE), mean absolute error (MAE), and reference closeness factor (RCF). Without the finger motion condition, we found that our proposed wearable PO device achieved an average 2.81% MAPE, 2.08 bpm MAE, 0.97 RCF, and 98.96% SpO2 accuracy. With a finger motion, the proposed wearable PO device achieved an average 4.5% MAPE, 3.66 bpm MAE, 0.96 RCF, and 96.88% SpO2 accuracy. We also show a comparison of our proposed PO device with a commercial Fingertip PO (FPO) device. We have found that our proposed PO device performs better than the commercial FPO device under finger motion conditions. To demonstrate the implementation of our wearable PO, we developed a smartphone app to allow the PO device to share PPG signals, PR, and SpO2 through Bluetooth communication. We also show the possible applications of our proposed PO as a wearable, hand-held PO device, and a PPG signal acquisition system.

Activation-Increasing Properties of Task Performance

1983 ◽  
Vol 52 (3) ◽  
pp. 731-734 ◽  
Author(s):  
Gerald R. Ferris
Keyword(s):  
Task Performance ◽  
Undergraduate Students ◽  
Pulse Rate ◽  
Work Setting

The present study examined the notion that task performance serves as a source of physiological activation in the work setting. Specifically, it is proposed that individuals performing highly in terms of both quantity and quality of performance will demonstrate higher levels of physiological activation than lower performing participants. 120 undergraduate students in psychology performed a clerical editing task after which pulse rate was taken as a measure of physiological activation. The results support the effects of task performance on activation.

scholarly journals The Impact of the Reliability of Teleinformation Systems on the Quality of Transmitted Information

2016 ◽  
Vol 39 (1) ◽  
pp. 5-20 ◽  
Author(s):  
Marek Stawowy ◽  
Zbigniew Kasprzyk ◽  
Andrzej Szmigiel
Keyword(s):  
Hybrid Method ◽  
Communication Systems ◽  
Mathematical Theory ◽  
Information Quality ◽  
Serial Links ◽  
Modeling Uncertainty ◽  
Information And Communication ◽  
Theory Of Evidence ◽  
The Impact

Abstract The work describes the impact the reliability of the information quality IQ for information and communication systems. One of the components of IQ is the reliability properties such as relativity, accuracy, timeliness, completeness, consistency, adequacy, accessibility, credibility, congruence. Each of these components of IQ is independent and to properly estimate the value of IQ, use one of the methods of modeling uncertainty. In this article, we used a hybrid method that has been developed jointly by one of the authors. This method is based on the mathematical theory of evidence know as Dempstera-Shafera (DS) theory and serial links of dependent hybrid named IQ (hyb).

scholarly journals Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them

2018 ◽  
Author(s):  
Antonio Rago ◽  
Oana Cocarascu ◽  
Francesca Toni
Keyword(s):  
Recommender Systems ◽  
Hybrid Method ◽  
State Of The Art ◽  
Significant Problem ◽  
Improve Quality ◽  
Weak Property ◽  
Art Methods

A significant problem of recommender systems is their inability to explain recommendations, resulting in turn in ineffective feedback from users and the inability to adapt to users’ preferences. We propose a hybrid method for calculating predicted ratings, built upon an item/aspect-based graph with users’ partially given ratings, that can be naturally used to provide explanations for recommendations, extracted from user-tailored Tripolar Argumentation Frameworks (TFs). We show that our method can be understood as a gradual semantics for TFs, exhibiting a desirable, albeit weak, property of balance. We also show experimentally that our method is competitive in generating correct predictions, compared with state-of-the-art methods, and illustrate how users can interact with the generated explanations to improve quality of recommendations.

scholarly journals Implementation of a dedicated 1.5 T MR scanner for radiotherapy treatment planning featuring a novel high-channel coil setup for brain imaging in treatment position

2020 ◽  
Author(s):  
Veit Mengling ◽  
Christoph Bert ◽  
Rosalind Perrin ◽  
Siti Masitho ◽  
Thomas Weissmann ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Brain Imaging ◽  
Treatment Planning ◽  
Signal To Noise Ratio ◽  
Motion Artifacts ◽  
Radiotherapy Treatment Planning ◽  
Tissue Contrast ◽  
Flexible Coil ◽  
Magnetic Resonance Imaging Mri

Abstract Purpose To share our experiences in implementing a dedicated magnetic resonance (MR) scanner for radiotherapy (RT) treatment planning using a novel coil setup for brain imaging in treatment position as well as to present developed core protocols with sequences specifically tuned for brain and prostate RT treatment planning. Materials and methods Our novel setup consists of two large 18-channel flexible coils and a specifically designed wooden mask holder mounted on a flat tabletop overlay, which allows patients to be measured in treatment position with mask immobilization. The signal-to-noise ratio (SNR) of this setup was compared to the vendor-provided flexible coil RT setup and the standard setup for diagnostic radiology. The occurrence of motion artifacts was quantified. To develop magnetic resonance imaging (MRI) protocols, we formulated site- and disease-specific clinical objectives. Results Our novel setup showed mean SNR of 163 ± 28 anteriorly, 104 ± 23 centrally, and 78 ± 14 posteriorly compared to 84 ± 8 and 102 ± 22 anteriorly, 68 ± 6 and 95 ± 20 centrally, and 56 ± 7 and 119 ± 23 posteriorly for the vendor-provided and diagnostic setup, respectively. All differences were significant (p > 0.05). Image quality of our novel setup was judged suitable for contouring by expert-based assessment. Motion artifacts were found in 8/60 patients in the diagnostic setup, whereas none were found for patients in the RT setup. Site-specific core protocols were designed to minimize distortions while optimizing tissue contrast and 3D resolution according to indication-specific objectives. Conclusion We present a novel setup for high-quality imaging in treatment position that allows use of several immobilization systems enabling MR-only workflows, which could reduce unnecessary dose and registration inaccuracies.

Ratiometry of transmembrane voltage-sensitive fluorescent dye emission in hearts

2000 ◽  
Vol 279 (3) ◽  
pp. H1421-H1433 ◽  
Author(s):  
Stephen B. Knisley ◽  
Robert K. Justice ◽  
Wei Kong ◽  
Philip L. Johnson
Keyword(s):  
Membrane Potential ◽  
Action Potentials ◽  
Signal To Noise Ratio ◽  
Green Emission ◽  
Motion Artifacts ◽  
Resting Membrane Potential ◽  
Baseline Drift ◽  
Fluorescence Measurements ◽  
Transmembrane Voltage ◽  
Voltage Dependent

Transmembrane voltage-sensitive fluorescence measurements are limited by baseline drift that can obscure changes in resting membrane potential and by motion artifacts that can obscure repolarization. Voltage-dependent shift of emission wavelengths may allow reduction of drift and motion artifacts by emission ratiometry. We have tested this for action potentials and potassium-induced changes in resting membrane potential in rabbit hearts stained with di-4-ANEPPS [Pyridinium, 4-(2-(6-(dibutylamino)-2-naphthalenyl) ethenyl)-1-(3-sulfopropyl)-, hydroxide, inner salt] using laser excitation (488 nm) and a two-photomultiplier tube system or spectrofluorometer (resolution of 500–1,000 Hz and <1 mm). Green and red emissions produced upright and inverted action potentials, respectively. Ratios of green emission to red emission followed action potential contours and exhibited larger fractional changes than either emission alone ( P < 0.001). The largest changes and signal-to-noise ratio (signal/noise) were obtained with numerator wavelengths of 525–550 nm and denominator wavelengths of 650–700 nm. Ratiometry lessened drift 56–66% ( P < 0.015) and indicated decreases in resting membrane potential. Ratiometry lessened motion artifacts and increased magnitudes of deflections representing phase-zero depolarizations relative to total deflections by 123–188% in intact hearts ( P < 0.02). Durations of action potentials at different pacing rates, temperatures, and potassium concentrations were independent of whether they were measured ratiometrically or with microelectrodes ( P ≥ 0.65). The ratiometric calibration slope was 0.017/100 mV and decreased with time. Thus emission ratiometry lessens the effects of motion and drift and indicates resting membrane potential changes and repolarization.

A Methodical Healthcare Model to Eliminate Motion Artifacts from Big EEG Data

2017 ◽  
Vol 29 (4) ◽  
pp. 84-102 ◽  
Author(s):  
Vandana Roy ◽  
Shailja Shukla
Keyword(s):  
Single Channel ◽  
Diagnostic Procedures ◽  
Ensemble Empirical Mode Decomposition ◽  
Motion Artifacts ◽  
Eeg Signals ◽  
Combination Technique ◽  
Mode Decomposition ◽  
Eeg Data ◽  
Healthcare Model

The Big data as Electroencephalography (EEG) can induce by artifacts during acquisition process which will obstruct the features and quality of interest in the signal. The healthcare diagnostic procedures need strong and viable biomedical signals and elimination of artifacts from EEG is important. In this research paper, an improved ensemble approach is proposed for single channel EEG signal motion artifacts removal. Ensemble Empirical Mode Decomposition and Canonical Correlation Analysis (EEMD-CCA) filter combination are applied to remove artifact effectively and further Stationary Wavelet Transform (SWT) is applied to remove the randomness and unpredictability due to motion artifacts from EEG signals. This new filter combination technique was tested against currently available artifact removal techniques and results indicate that the proposed algorithm is suitable for use as a supplement to algorithms currently in use.

Wavelet-Based Filtering Method for Sleep EEG Signal

2011 ◽  
Vol 130-134 ◽  
pp. 2160-2165
Author(s):  
Hua Qiang ◽  
Rui Yang ◽  
Guo Dong Zhang
Keyword(s):  
Wavelet Transform ◽  
Wavelet Decomposition ◽  
Sleep Eeg ◽  
Signal Interference ◽  
Reconstruction Method ◽  
Threshold Method ◽  
Baseline Drift ◽  
Modulus Maximum ◽  
Common Signal ◽  
Wavelet Modulus Maximum

In this paper, in accordance with several common signal interference in sleep EEG detection, it is processed by wavelet transform. It mainly includes: ①.remove white noise from EEG using wavelet threshold method; ②.remove baseline drift from EEG using wavelet decomposition and reconstruction method; ③.remove sharp pulse interference using wavelet modulus maximum algorithm; ④.remove EMG from EEG using wavelet decomposition and reconstruction as well as modulus maximum method. The results of simulation study show that: it can filter a variety of common interference in EEG detection preferably by wavelet transform.

scholarly journals Fast Channel Navigation of Internet Protocol Television Using Adaptive Hybrid Delivery Method

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Timothy T. Adeliyi ◽  
Oludayo O. Olugbara
Keyword(s):  
Hybrid Method ◽  
Quality Of Experience ◽  
Internet Protocol ◽  
Critical Factor ◽  
The Internet ◽  
Delivery Method ◽  
Queuing Delay ◽  
Hybrid Delivery ◽  
Internet Protocol Television

The Internet protocol television brought seamless potential that has revolutionized the media and telecommunication industries by providing a platform for transmitting digitized television services. However, zapping delay is a critical factor that affects the quality of experience in the Internet protocol television. This problem is intrinsically caused by command processing time, network delay, jitter, buffer delay, and video decoding delay. The overarching objective of this paper is to use a hybrid delivery method that agglutinates multicast- and unicast-enabled services over a converged network to minimize zapping delay to the bare minimum. The hybrid method will deliver Internet protocol television channels to subscribers using the unicast stream coupled with differentiated service quality of experience when zapping delay is greater than 0.43 s. This aids a faster transmission by sending a join message to the multicast stream at the service provider zone to acquire the requested channel. The hybrid method reported in this paper is benchmarked with the state-of-the-art multicast stream and unicast stream methods. Results show that the hybrid method has an excellent performance by lowering point-to-point queuing delay, end-to-end packet delay, and packet variation and increasing throughput rate.

Sign in / Sign up

Export Citation Format

Share Document