Validation of a Wireless Bluetooth Photoplethysmography Sensor Used on the Earlobe for Monitoring Heart Rate Variability Features during a Stress-Inducing Mental Task in Healthy Individuals

Correia, Bruno; Dias, Nuno; Costa, Patrício; Pêgo, José M.

doi:10.3390/s20143905

Cited by 25 publications

(35 citation statements)

References 53 publications

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“…In order to assess mental stress from PPG, Charlton et al [ 169 ] identify features of PPG that can indicate mental stress. A PPG earlobe sensor was used to monitor PRV induced by mental stress [ 170 ]. A person’s stress state was classified using convolution neural networks [ 171 ].…”

Section: Potential Applications Of Ppg Signal and Impacts On Healthcarementioning

confidence: 99%

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

et al. 2022

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Recent research indicates that Photoplethysmography (PPG) signals carry more information than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive healthcare applications. All these encourage the researchers to estimate its feasibility as an alternative to many expansive, time-wasting, and invasive methods. This systematic review discusses the current literature on diagnostic features of PPG signal and their applications that might present a potential venue to be adapted into many health and fitness aspects of human life. The research methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines 2020. To this aim, papers from 1981 to date are reviewed and categorized in terms of the healthcare application domain. Along with consolidated research areas, recent topics that are growing in popularity are also discovered. We also highlight the potential impact of using PPG signals on an individual’s quality of life and public health. The state-of-the-art studies suggest that in the years to come PPG wearables will become pervasive in many fields of medical practices, and the main domains include cardiology, respiratory, neurology, and fitness. Main operation challenges, including performance and robustness obstacles, are identified.

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Section: Potential Applications Of Ppg Signal and Impacts On Healthcarementioning

confidence: 99%

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

et al. 2022

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“…Moreover, Bluetooth wireless headphones were used for a lesser impact over the electrodes, consequently less prone to artefacts. A new biosignals device, James One from MindProber Portugal, with a built-in GSR sensor and a PPG sensor that allows HRV measurements [87,88]. The biodevices were placed in the left hand of all the participants, even if they were lefties.…”

Section: Recordingsmentioning

confidence: 99%

“…GSR tonic (skin conductance level-SCL) and phasic components (skin conductance responses-SCR) were extracted offline from each 1 s interval, with an exosomatic direct current sensor [87]. HRV time domain, frequency domain, and non-linear domain features were extracted from the 1 s PPG RRintervals [88]. For a list of descriptions of all the features, please go to Appendix A.3.…”

Section: Multidimensional Signals Processingmentioning

confidence: 99%

A Multivariate Randomized Controlled Experiment about the Effects of Mindfulness Priming on EEG Neurofeedback Self-Regulation Serious Games

et al. 2021

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Neurofeedback training (NFT) is a technique often proposed to train brain activity SR with promising results. However, some criticism has been raised due to the lack of evaluation, reliability, and validation of its learning effects. The current work evaluates the hypothesis that SR learning may be improved by priming the subject before NFT with guided mindfulness meditation (MM). The proposed framework was tested in a two-way parallel-group randomized controlled intervention with a single session alpha NFT, in a simplistic serious game design. Sixty-two healthy naïve subjects, aged between 18 and 43 years, were divided into MM priming and no-priming groups. Although both the EG and CG successfully attained the up-regulation of alpha rhythms (F(1,59) = 20.67, p < 0.001, ηp2 = 0.26), the EG showed a significantly enhanced ability (t(29) = 4.38, p < 0.001) to control brain activity, compared to the CG (t(29) = 1.18, p > 0.1). Furthermore, EG superior performance on NFT seems to be explained by the subject’s lack of awareness at pre-intervention, less vigour at post-intervention, increased task engagement, and a relaxed non-judgemental attitude towards the NFT tasks. This study is a preliminary validation of the proposed assisted priming framework, advancing some implicit and explicit metrics about its efficacy on NFT performance, and a promising tool for improving naïve “users” self-regulation ability.

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“…In recent years, heart rate variability (HRV) has been used in many studies to evaluate stress levels [ 16 , 17 , 18 , 19 ]. Since stress affects the autonomic nervous system (ANS), HRV controlled by the ANS is often referenced as a stress indicator.…”

Section: Introductionmentioning

confidence: 99%

Identification of Video Game Addiction Using Heart-Rate Variability Parameters

Kim

et al. 2021

Sensors

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The purpose of this study is to determine heart rate variability (HRV) parameters that can quantitatively characterize game addiction by using electrocardiograms (ECGs). 23 subjects were classified into two groups prior to the experiment, 11 game-addicted subjects, and 12 non-addicted subjects, using questionnaires (CIUS and IAT). Various HRV parameters were tested to identify the addicted subject. The subjects played the League of Legends game for 30–40 min. The experimenter measured ECG during the game at various window sizes and specific events. Moreover, correlation and factor analyses were used to find the most effective parameters. A logistic regression equation was formed to calculate the accuracy in diagnosing addicted and non-addicted subjects. The most accurate set of parameters was found to be pNNI20, RMSSD, and LF in the 30 s after the “being killed” event. The logistic regression analysis provided an accuracy of 69.3% to 70.3%. AUC values in this study ranged from 0.654 to 0.677. This study can be noted as an exploratory step in the quantification of game addiction based on the stress response that could be used as an objective diagnostic method in the future.

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Validation of a Wireless Bluetooth Photoplethysmography Sensor Used on the Earlobe for Monitoring Heart Rate Variability Features during a Stress-Inducing Mental Task in Healthy Individuals

Cited by 25 publications

References 53 publications

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

A Multivariate Randomized Controlled Experiment about the Effects of Mindfulness Priming on EEG Neurofeedback Self-Regulation Serious Games

Identification of Video Game Addiction Using Heart-Rate Variability Parameters

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