An assessment of a similarity between the right and left hand Photoplethysmography signals, using time and frequency features of heart-rate-variability signal

Tarvirdizadeh, Bahram; Golgouneh, Alireza; Khodabakhshi, Erfan; Tajdari, Farzam

doi:10.1109/kbei.2017.8324868

Cited by 13 publications

(3 citation statements)

References 22 publications

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“…We have compared the most common sites i.e., index fingers and attempted to establish if it is better to use any of them for PPG data collection. Tarvirdizadeh et al [45] used statistical methods such as linear correlation using the Pearson correlation coefficient and paired t-test between features extracted from PPG signal recorded from different fingers of the right and left hand. Their experiment design greatly varies from the work discussed above and they did not find any salient difference among the features obtained, however, we have established that in the preprocessing step, before extraction of features, the signal recorded from the right index finger has better signal to noise ratio than the one recorded using the left index finger.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Comparative Analysis of Photoplethysmography Signal Quality from Right and Left Index Fingers

Kanwal,

Asif,

Khalid

et al. 2023

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Photoplethysmography (PPG) has emerged as an increasingly attractive signal for noninvasive physiological measurements, owing to its simplicity, cost-effectiveness, and broad applicability spanning cardiovascular to respiratory systems. The burgeoning interest in PPG signal processing has facilitated its extensive incorporation in wearable devices, thus stimulating active research in this field. The present study undertakes a comprehensive evaluation to discern the optimal index finger (right or left) for PPG data acquisition and subsequent filtration, appraised through the lens of the signal-to-noise ratio (SNR) of the filtered signal. An analysis conducted on signals contaminated with white Gaussian noise unveiled that the Savitzky-Golay filter (a polynomial filter) with a window size of three outperformed other window lengths, rendering the highest SNR. Among the Infinite Impulse Response (IIR) filters compared; the Chebyshev I filter emerged as superior. Interestingly, the right index finger consistently demonstrated a higher mean SNR across filters: 0.49% for the Savitzky-Golay filters, 4.32% for the Butterworth (order 6), 7.71% for the Chebyshev I (order 10), and 4.02% for the Chebyshev II (order 4), relative to the left index finger for PPG signals perturbed by white Gaussian noise. These findings provide an insightful perspective for future research and development in wearable devices, suggesting potential superiority of the right index finger for PPG signal acquisition and filtration.

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Section: Conclusion and Recommendationsmentioning

confidence: 99%

Comparative Analysis of Photoplethysmography Signal Quality from Right and Left Index Fingers

Kanwal,

Asif,

Khalid

et al. 2023

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“…The structural path modelling (variance approach) and the structural equation modelling (covariance approach) are two main ways of analysing and assessing complex data structures [27,28,29,30,31,32]. The main characteristic of these two methods is assessing and analysing different dependant and independent variables concurrently [33,34,35,36].…”

Section: Assessing Findings Reliability and Justification Of The Rese...mentioning

confidence: 99%

The Relationship between Consuming Fashion and Self-Confidence on the Buying Behaviour in the Clothing Market as a Mediator

Zam¹,

Tavakoli²,

Ramezanian³

et al. 2022

Preprint

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As a mediator variable, self-confidence is one of the most effective elements of the decision-making process of consumer behaviour. This research has studied the effects of different aspects of consuming fashion on the self-confidence and behaviour of consumers in Tehran’s clothing market. This study has considered the acceptance of new products, interest in mode and fashion, utilitarianism, and personal taste in its analysis. This research aims to understand the fashion buying behaviour amongst Iranian consumers in consideration of their attitude towards self-confidence and aspects of fashion consumption. The statistic sample is 400 consumers from Tehran’s clothing market who have been chosen based on the random availability procedure. The primary tool in this research was a questionary used to testify the assumptions and a model fit created by using structural equations and factor analysis. This research showed that the interest in mode and fashion, personal taste, utilitarianism, and new products positively impact self-confidence. In addition, the positive impact of self-confidence on fashion buying behaviour was confirmed.

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“…Hence, it is logically expected that the system has different behavior in response to a different path. Therefore, nonlinearity of the system and the optimization method, and complexity of the problem, imply the use of intelligent methods (Ghaffari et al, 2018; Khodayari et al, 2015), which are capable to overcome the complexity and nonlinearity of the problem (Tarvirdizadeh et al, 2017; Tajdari et al, 2021b). Because of the fact that the cost function of the optimal problem in equation (39) is dependant on w Q and w R , obtaining a method to estimate the true values of w Q and w R in each time step is a key to solve the nonlinearities.…”

Section: Controller Designmentioning

confidence: 99%

Implementation and intelligent gain tuning feedback–based optimal torque control of a rotary parallel robot

Tajdari

Toulkani

2021

Journal of Vibration and Control

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Aiming at operating optimally minimizing error of tracking and designing control effort, this study presents a novel generalizable methodology of an optimal torque control for a 6-degree-of-freedom Stewart platform with rotary actuators. In the proposed approach, a linear quadratic integral regulator with the least sensitivity to controller parameter choices is designed, associated with an online artificial neural network gain tuning. The nonlinear system is implemented in ADAMS, and the controller is formulated in MATLAB to minimize the real-time tracking error robustly. To validate the controller performance, MATLAB and ADAMS are linked together and the performance of the controller on the simulated system is validated as real time. Practically, the Stewart robot is fabricated and the proposed controller is implemented. The method is assessed by simulation experiments, exhibiting the viability of the developed methodology and highlighting an improvement of 45% averagely, from the optimum and zero-error convergence points of view. Consequently, the experiment results allow demonstrating the robustness of the controller method, in the presence of the motor torque saturation, the uncertainties, and unknown disturbances such as intrinsic properties of the real test bed.

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An assessment of a similarity between the right and left hand Photoplethysmography signals, using time and frequency features of heart-rate-variability signal

Cited by 13 publications

References 22 publications

Comparative Analysis of Photoplethysmography Signal Quality from Right and Left Index Fingers

Comparative Analysis of Photoplethysmography Signal Quality from Right and Left Index Fingers

The Relationship between Consuming Fashion and Self-Confidence on the Buying Behaviour in the Clothing Market as a Mediator

Implementation and intelligent gain tuning feedback–based optimal torque control of a rotary parallel robot

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