Abstract
For musicians, performing in front of an audience can cause considerable apprehension; indeed, performance anxiety is felt throughout the profession, with wide ranging symptoms arising irrespective of age, skill level and amount of practice. A key indicator of stress is frequency-specific fluctuations in the dynamics of heart rate known as heart rate variability (HRV). Recent developments in sensor technology have made possible the measurement of physiological parameters reflecting HRV non-invasively and outside of the laboratory, opening research avenues for real-time performer feedback to help improve stress management. However, the study of stress using standard algorithms has led to conflicting and inconsistent results. Here, we present an innovative and rigorous approach which combines: (i) a controlled and repeatable experiment in which the physiological response of an expert musician was evaluated in a low-stress performance and a high-stress recital for an audience of 400 people, (ii) a piece of music with varying physical and cognitive demands, and (iii) dynamic stress level assessment with standard and state-of-the-art HRV analysis algorithms such as those within the domain of complexity science which account for higher order stress signatures. We show that this offers new scope for interpreting the autonomic nervous system response to stress in real-world scenarios, with the evolution of stress levels being consistent with the difficulty of the music being played, superimposed on the stress caused by performing in front of an audience. For an emerging class of algorithms that can analyse HRV independent of absolute data scaling, it is shown that complexity science performs a more accurate assessment of average stress levels, thus providing greater insight into the degree of physiological change experienced by musicians when performing in public.
References
- 1
Kenny D . 2011 The psychology of music performance anxiety. Oxford, UK: Oxford University Press. Crossref, Google Scholar - 2
Williamon A (ed.) 2004 Musical excellence: strategies and techniques to enhance performance. Oxford, UK: Oxford University Press. Crossref, Google Scholar - 3
Bricout V-A, DeChenaud S& Favre-Juvin A . 2010 Analyses of heart rate variability in young soccer players: the effects of sport activity. Auton. Neurosci. 154, 112–116. (doi:10.1016/j.autneu.2009.12.001). Crossref, PubMed, Web of Science, Google Scholar - 4
Arora S, Tierney T, Sevdalis N, Aggarwal R, Nestel D, Woloshynowych M, Darzi A& Kneebone R . 2010 The imperial stress assessment tool (ISAT): a feasible, reliable and valid approach to measuring stress in the operating room. World J. Surg. 34, 1756–1763. (doi:10.1007/s00268-010-0559-4). Crossref, PubMed, Web of Science, Google Scholar - 5
Schwarz AM, Schächinger H, Adler RH& Goetz SM . 2003 Hopelessness is associated with decreased heart rate variability during championship chess games. Psychosom. Med. 65, 658–661. (doi:10.1097/01.PSY.0000075975.90979.2A). Crossref, PubMed, Web of Science, Google Scholar - 6
Berntson GG& Cacioppo JT . 2004 Heart rate variability: stress and psychiatric conditions. Dynamic electrocardiograph (eds, Malik M& Camm AJ ), pp. 56–63. Oxford, UK: Blackwell Futura. Google Scholar - 7
Berntson GG, 1997 Heart rate variability: origins, methods, and interpretive caveats. Psychophysiology 34, 623–648. (doi:10.1111/j.1469-8986.1997.tb02140.x). Crossref, PubMed, Web of Science, Google Scholar - 8
Billman GE . 2011 Heart rate variability: a historical perspective. Front. Physio. 2(86), 1–13. (doi:10.3389/fphys.2011.00086). Google Scholar - 9
Schubert C, Lambertz M, Nelesen RA, Bardwell W, Choi JB& Dimsdale JE . 2009 Effects of stress on heart rate complexity: a comparison between short-term and chronic stress. Biol. Psychol. 80, 325–332. (doi:10.1016/j.biopsycho.2008.11.005). Crossref, PubMed, Web of Science, Google Scholar - 10
Taelman J, Vandeput S, Spaepen A& Van Huffel S . 2009 Influence of mental stress on heart rate and heart rate variability.4th European Conf. of the Int. Federation for Medical and Biological Engineering , pp. 1366–1369. Berlin, Germany: Springer. Crossref, Google Scholar - 11
Billman GE . 2013 The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance. Front. Physio. 4(26), 1–5. (doi:10.3389/fphys.2013.00026). Google Scholar - 12
Berntson GG, Cacioppo JT, Binkley PF, Uchino BN, Quigley KS& Fieldstone A . 1994 Autonomic cardiac control. III. Psychological stress and cardiac response in autonomic space as revealed by pharmacological blockades. Psychophysiology 31, 599–608. (doi:10.1111/j.1469-8986.1994.tb02352.x). Crossref, PubMed, Web of Science, Google Scholar - 13
Pagani M, Lombardi F, Guzzetti S, Sandrone G, Rimoldi O, Malfatto G, Cerutti S& Malliani A . 1984 Power spectral density of heart rate variability as an index of sympatho-vagal interaction in normal and hypertensive subjects. J. Hypertens. Suppl. 2, S383–S385. PubMed, Google Scholar - 14
Pagani M, 1986 Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog. Circ. Res. 59, 178–193. (doi:10.1161/01.RES.59.2.178). Crossref, PubMed, Web of Science, Google Scholar - 15
Nakahara H, Furuya S, Satoshi O, Masuko T& Kinoshita H . 2009 Emotion-related changes in heart rate and its variability during performance and perception of music. Ann. NY Acad. Sci. 1169, 359–362. (doi:10.1111/j.1749-6632.2009.04788.x). Crossref, PubMed, Web of Science, Google Scholar - 16
Harmat L& Theorell T . 2010 Heart rate variability during singing and flute playing. Music Med. 2, 10–17. (doi:10.1177/1943862109354598). Crossref, Google Scholar - 17
Harmat L, Ullén F, de Manzano Ö, Olsson E, Elofsson U, von Schéele B& Theorell T . 2011 Heart rate variability during piano playing: a case study of three professional solo pianists playing a self-selected and a difficult prima vista piece. Music Med. 3, 102–107. (doi:10.1177/1943862110387158). Crossref, Google Scholar - 18
Costa M, Goldberger AL& Peng C-K . 2002 Multiscale entropy analysis of complex physiological time series. Phys. Rev. Lett. 89, 068102. (doi:10.1103/PhysRevLett.89.068102). Crossref, PubMed, Web of Science, Google Scholar - 19
Costa M, Goldberger AL& Peng C-K . 2005 Multiscale entropy analysis of biological signals. Phys. Rev. E 71, 021906. (doi:10.1103/PhysRevE.71.021906). Crossref, Web of Science, Google Scholar - 20
Goldberger AL, Amaral LA, Hausdorff JM, Ivanov P. Ch., Peng C-K& Stanley HE . 2002 Fractal dynamics in physiology: alterations with disease and aging. Proc. Natl Acad. Sci. USA 99, 2466–2472. (doi:10.1073/pnas.012579499). Crossref, PubMed, Web of Science, Google Scholar - 21
Hornero R, Abásolo D, Escudero J& Gómez C . 2009 Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease. Phil. Trans. R. Soc. A 367, 317–336. (doi:10.1098/rsta.2008.0197). Link, Web of Science, Google Scholar - 22
Takahashi T, Cho RY, Murata T, Mizuno T, Kikuchi M, Mizukami K, Kosaka H, Takahashi K& Wada Y . 2009 Age-related variation in EEG complexity to photic stimulation: a multiscale entropy analysis. Clin. Neurophysiol. 120, 476–483. (doi:10.1016/j.clinph.2008.12.043). Crossref, PubMed, Web of Science, Google Scholar - 23
Buchman TG& Karsch RE . 2009 Changes in temporal structure of heart rate variability during clinical stress testing. J. Crit. Care 24, e34. (doi:10.1016/j.jcrc.2009.06.041). Crossref, Google Scholar - 24
Turianikova Z, Javorka K, Baumert M, Calkovska A& Javorka M . 2011 The effect of orthostatic stress on multiscale entropy of heart rate and blood pressure. Physiol. Meas. 32, 1425. (doi:10.1088/0967-3334/32/9/006). Crossref, PubMed, Web of Science, Google Scholar - 25
Sarkar A& Barat P . 2008 Effect of meditation on scaling behaviour and complexity of human heart rate variability. Fractals 16, 199–208. (doi:10.1142/S0218348X08003983). Crossref, Web of Science, Google Scholar - 26
Williamon A& Valentine E . 2002 The role of retrieval structures in memorizing music. Cogn. Psychol. 44, 1–32. (doi:10.1006/cogp.2001.0759). Crossref, PubMed, Web of Science, Google Scholar - 27
Shaffer LH . 1984 Timing in solo and duet piano performances. Q. J. Exp. Psychol. 36, 577–595. (doi:10.1080/14640748408402180). Crossref, Google Scholar - 28
Ericsson KA . 2008 Deliberate practice and acquisition of expert performance: a general overview. Acad. Emerg. Med. 15, 988–994. (doi:10.1111/j.1553-2712.2008.00227.x). Crossref, PubMed, Web of Science, Google Scholar - 29
Iñesta C, Terrados N, García D& Pérez JA . 2008 Heart rate in professional musicians. J. Occup. Med. Toxicol. 3, 16. (doi:10.1186/1745-6673-3-16). Crossref, PubMed, Google Scholar - 30
Hunsaker LA . 1994 Heart rate and rhythm responses during trumpet playing. Med. Probl. Perform. Ar. 9, 69–72. Web of Science, Google Scholar - 31
Johnstone JA, Ford PA, Hughes G, Watson T& Garrett AT . 2012 BioHarness multivariable monitoring device. Part I: validity. JSSM 11, 400–408. Google Scholar - 32
Johnstone JA, Ford PA, Hughes G, Watson T& Garrett AT . 2012 BioHarness multivariable monitoring device. Part II: reliability. JSSM 11, 409–417. Google Scholar - 33
Steptoe A . 1983 The relationship between tension and the quality of musical performance. ISSTIP J. 1, 12–22. Google Scholar - 34
Martens R, Burton D, Vealey RS, Bump LA& Smith ED . 1990 Development and validation of the competitive state anxiety inventory-2. Competitive anxiety in sport (eds, Martens R, Vealey RS& Burton S ), pp. 117–190. Champaign, IL: Human Kinetics. Google Scholar