Estimation of Mental Distress from Photoplethysmography

Zangróniz, Roberto; Martínez-Rodrigo, Arturo; López, María Teresa; Pastor, José Manuel; Fernández-Caballero, Antonio

doi:10.3390/app8010069

Cited by 44 publications

(36 citation statements)

References 43 publications

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“…The HRV parameter of an individual could be used to identify the zone for peak performance. In addition to the theoretical development, this study may contribute to developing a device measuring mental state by physiological parameters such as HRV in relation to human performance [31].…”

Section: Discussionmentioning

confidence: 99%

Examining the Relation between Heart Rate Variability, Flow, and Shooting in Wheelchair Athletes

Kim¹,

Hwang²,

Park³

et al. 2019

Exerc Sci

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ORIGINAL ARTICLEPURPOSE: Heart rate variability leads affective changes, which are associated with athletic performance. This study aimed to examine the relationship between heart rate variability, athletic flow, and shooting performance in wheelchair shooting athletes. METHODS:Eight male and female wheelchair shooting athletes were participated in the study. Heart rate variability was measured at rest and during shooting practice and competitions. Flow experience and shooting score were collected only during practice and actual shooting. SPSS Windows 25.0 was used to perform the following analysis. A repeated one-way ANOVA was applied to analyze the differences in heart rate variability at rest, during practice and actual shooting. In order to see the linear and curvilinear relationship among the variables, a hierarchical regression analysis was conducted. RESULTS:The level of average heart rate and the ratio of Low Frequency (LF) to High Frequency (HF) of heart rate variability were significantly at different situations. At the resting period average heart rate was the highest while LF/HF was the lowest, which indicated that LF was less activated than HF at rest as compared to actual shooting. A hierarchical regression analysis showed that flow was a significant linear predictor for shooting performance. CONCLUSIONS:Heart rate variability is changing depending on the circumstance that athletes faced to, which suggests that the changes may be associated with psychological states and performance. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Section: Discussionmentioning

confidence: 99%

Examining the Relation between Heart Rate Variability, Flow, and Shooting in Wheelchair Athletes

Kim¹,

Hwang²,

Park³

et al. 2019

Exerc Sci

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“…More tests are needed to verify the accuracy of this solution. A couple of recent papers have introduced the estimation of mental distress from photoplethysmography [41] and electrodermal activity [42].…”

Section: Wearable Sensors In Healthcarementioning

confidence: 99%

Body Area Networks in Healthcare: A Brief State of the Art

et al. 2019

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A body area network (BAN) comprises a set of devices that sense their surroundings, activate and communicate with each other when an event is detected in its environment. Although BAN technology was developed more than 20 years ago, in recent years, its popularity has greatly increased. The reason is the availability of smaller and more powerful devices, more efficient communication protocols and improved duration of portable batteries. BANs are applied in many fields, healthcare being one of the most important through gathering information about patients and their surroundings. A continuous stream of information may help physicians with making well-informed decisions about a patient's treatment. Based on recent literature, the authors review BAN architectures, network topologies, energy sources, sensor types, applications, as well as their main challenges. In addition, the paper focuses on the principal requirements of safety, security, and sustainability. In addition, future research and improvements are discussed.

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“…Moreover, there is approximately the same level of visual fatigue when watching videos in 2D or 3D from a long viewing distance. Another paper introduces the design of a new wearable photo plethysmography sensor and its assessment for mental distress estimation [10]. Temporal, morphological, and frequency markers are computed using time intervals between adjacent normal cardiac cycles to characterize pulse rate variability.…”

Section: The Papersmentioning

confidence: 99%