Study the effect of music on HRV signal using 3D Poincare plot in spherical Co-ordinates - A signal processing approach

Das, M. K.; Jana, Tuhin; Dutta, Parna; Banerjee, Ria; Dey, Anilesh; Bhattacharya, D. K.; Kanjilal, M.R.

doi:10.1109/iccsp.2015.7322652

Cited by 5 publications

(9 citation statements)

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“…Another element to note is related to the length of the listening sessions. Many studies had a listening time between 15 and 30 min ( Chang et al, 2004 ; Uclés et al, 2006 ; Kasprzak, 2010 ; Das et al, 2015 ; Nardelli et al, 2015 ; Tan et al, 2015 ; Goshvarpour et al, 2016a , b , 2017 ). Others lasted between 2 and 15 min ( Kim and André, 2008 ; Krantz et al, 2010 ; Dousty et al, 2011 ; Pérez-Lloret et al, 2014 ; Rhomberg et al, 2014 ; Hajizadeh et al, 2015 ; Nakajima et al, 2016 ; Abedi et al, 2017 ).…”

Section: Resultsmentioning

confidence: 99%

“…With respect to sample size, it was noted that the sample size varies between 3 and 18 subjects ( Thayer and Faith, 2001 ; Etzel et al, 2006 ; Kim and André, 2008 ; Das et al, 2015 ; Goshvarpour et al, 2016b ; Nakajima et al, 2016 ), 20 and 28 subjects ( Thayer and Faith, 2001 ; Chang et al, 2004 ; Krantz et al, 2010 ; Naji et al, 2014b ; Pérez-Lloret et al, 2014 ; Al-Galal et al, 2016 ; Abedi et al, 2017 ), 30 and 44 subjects ( Thayer and Faith, 2001 ; Kenntner-Mabiala et al, 2007 ; Binns-Turner et al, 2011 ; Dousty et al, 2011 ; Rhomberg et al, 2014 ; Goshvarpour et al, 2016a , 2017 ), and 60 and 125 subjects ( Thayer and Faith, 2001 ; Koelsch et al, 2007 ; Orini et al, 2010 ; Gruhlke et al, 2015 ; Gupta and Gupta, 2015 ; Hajizadeh et al, 2015 ; Krabs et al, 2015 ; Tan et al, 2015 ). Moreover, most research has had a sample with age ranges between 18 and 41 years ( Chang et al, 2004 ; Kenntner-Mabiala et al, 2007 ; Kim and André, 2008 ; Orini et al, 2010 ; Dousty et al, 2011 ; Naji et al, 2014b ; Rhomberg et al, 2014 ; Das et al, 2015 ; Hajizadeh et al, 2015 ; Goshvarpour et al, 2016a , b , 2017 ; Nakajima et al, 2016 ; Abedi et al, 2017 ), and other studies had a broader age range, 31–74 years ( Etzel et al, 2006 ; Gupta and Gupta, 2015 ), 18–65 years ( Tan et al, 2015 ), and 20–57 years ( Krantz et al, 2010 ). Many studies also considered a sample with males and females ( Chang et al, 2004 ; Etzel et al, 2006 ; Kenntner-Mabiala et al, 2007 ; Koelsch et al, 2007 ; Krantz et al, 2010 ...…”

Section: Discussionmentioning

confidence: 99%

“…Many studies also considered a sample with males and females ( Chang et al, 2004 ; Etzel et al, 2006 ; Kenntner-Mabiala et al, 2007 ; Koelsch et al, 2007 ; Krantz et al, 2010 ; Orini et al, 2010 ; Naji et al, 2014b ; Hajizadeh et al, 2015 ; Krabs et al, 2015 ; Al-Galal et al, 2016 ; Goshvarpour et al, 2016a , b , 2017 ), and others with just males ( Gupta and Gupta, 2015 ) or females ( Binns-Turner et al, 2011 ; Rhomberg et al, 2014 ; Nakajima et al, 2016 ; Abedi et al, 2017 ). In these cases, most research did not have a control group ( Chang et al, 2004 ; Wagner et al, 2005 ; Etzel et al, 2006 ; Kenntner-Mabiala et al, 2007 ; Koelsch et al, 2007 ; Kim and André, 2008 ; Orini et al, 2010 ; Wong et al, 2010 ; Naji et al, 2014b ; Niu et al, 2014 ; Rhomberg et al, 2014 ; Das et al, 2015 ; Al-Galal et al, 2016 ; Goshvarpour et al, 2016a , b , 2017 ; Nakajima et al, 2016 ; Abedi et al, 2017 ) and only a few considered a control group ( Binns-Turner et al, 2011 ; Gupta and Gupta, 2015 ; Tan et al, 2015 ).…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, noises such as impulsive noise ( Holand et al, 1999 ; Uclés et al, 2006 ), train noise ( Croy et al, 2013 ; Gallasch et al, 2016 ), and various noise intensities ( Chen et al, 2014a , b ) were applied among others ( Uclés et al, 2006 ; Cho et al, 2011 ; Kraus et al, 2013 ; Oh et al, 2015 ; Sim et al, 2015 ; Walker et al, 2016 ). In research related to music, most studies used classical music ( Thayer and Faith, 2001 ; Chang et al, 2004 ; Etzel et al, 2006 ; Kenntner-Mabiala et al, 2007 ; Binns-Turner et al, 2011 ; Naji et al, 2014b ; Pérez-Lloret et al, 2014 ; Gruhlke et al, 2015 ; Nakajima et al, 2016 ), relaxing or sedative music ( Dousty et al, 2011 ; Pérez-Lloret et al, 2014 ; Tan et al, 2015 ; Al-Galal et al, 2016 ), emotional music ( Goshvarpour et al, 2016a , b , 2017 ), pleasant music ( Koelsch et al, 2007 ; Orini et al, 2010 ; Krabs et al, 2015 ), and unpleasant music ( Koelsch et al, 2007 ; Orini et al, 2010 ; Krabs et al, 2015 ); also, new age music and Persian music were taken into account ( Binns-Turner et al, 2011 ; Naji et al, 2014b ; Pérez-Lloret et al, 2014 ; Abedi et al, 2017 ), among other kinds of music or stimulus ( Thayer and Faith, 2001 ; Etzel et al, 2006 ; Koelsch et al, 2007 ; Krantz et al, 2010 ; Orini et al, 2010 ; Binns-Turner et al, 2011 ; Dousty et al, 2011 ; Pérez-Lloret et al, 2014 ; Rhomberg et al, 2014 ; Das et al, 2015 ; Gruhlke et al, 2015 ; Hajizadeh et al, 2015 ; Krabs et al, 2015 ). It is important to note that many stud...…”

Section: Discussionmentioning

confidence: 99%

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Different Types of Sounds and Their Relationship With the Electrocardiographic Signals and the Cardiovascular System – Review

et al. 2018

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Background: For some time now, the effects of sound, noise, and music on the human body have been studied. However, despite research done through time, it is still not completely clear what influence, interaction, and effects sounds have on human body. That is why it is necessary to conduct new research on this topic. Thus, in this paper, a systematic review is undertaken in order to integrate research related to several types of sound, both pleasant and unpleasant, specifically noise and music. In addition, it includes as much research as possible to give stakeholders a more general vision about relevant elements regarding methodologies, study subjects, stimulus, analysis, and experimental designs in general. This study has been conducted in order to make a genuine contribution to this area and to perhaps to raise the quality of future research about sound and its effects over ECG signals.Methods: This review was carried out by independent researchers, through three search equations, in four different databases, including: engineering, medicine, and psychology. Inclusion and exclusion criteria were applied and studies published between 1999 and 2017 were considered. The selected documents were read and analyzed independently by each group of researchers and subsequently conclusions were established between all of them.Results: Despite the differences between the outcomes of selected studies, some common factors were found among them. Thus, in noise studies where both BP and HR increased or tended to increase, it was noted that HRV (HF and LF/HF) changes with both sound and noise stimuli, whereas GSR changes with sound and musical stimuli. Furthermore, LF also showed changes with exposure to noise.Conclusion: In many cases, samples displayed a limitation in experimental design, and in diverse studies, there was a lack of a control group. There was a lot of variability in the presented stimuli providing a wide overview of the effects they could produce in humans. In the listening sessions, there were numerous examples of good practice in experimental design, such as the use of headphones and comfortable positions for study subjects, while the listening sessions lasted 20 min in most of the studies.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Different Types of Sounds and Their Relationship With the Electrocardiographic Signals and the Cardiovascular System – Review

et al. 2018

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“…On the other hand, the Poincaré plot is generated by plotting the current value of the RR interval (RR n ) against the RR interval value preceding it (RR n +1 ) [ 73 , 74 ]. Hence, the Poincaré plot takes into account only the length of the RR intervals but not the amount of the RR intervals that occur [ 75 ]. The Poincaré plot is also named as scatter plot or scattergram, return map, and Lorentz plot [ 76 ].…”

Section: Nonlinear Dynamical System Analysis Techniquesmentioning

confidence: 99%

A Review on the Nonlinear Dynamical System Analysis of Electrocardiogram Signal

Nayak

Bit

Dey

et al. 2018

Journal of Healthcare Engineering

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Electrocardiogram (ECG) signal analysis has received special attention of the researchers in the recent past because of its ability to divulge crucial information about the electrophysiology of the heart and the autonomic nervous system activity in a noninvasive manner. Analysis of the ECG signals has been explored using both linear and nonlinear methods. However, the nonlinear methods of ECG signal analysis are gaining popularity because of their robustness in feature extraction and classification. The current study presents a review of the nonlinear signal analysis methods, namely, reconstructed phase space analysis, Lyapunov exponents, correlation dimension, detrended fluctuation analysis (DFA), recurrence plot, Poincaré plot, approximate entropy, and sample entropy along with their recent applications in the ECG signal analysis.

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