Pain Assessment in Musculoskeletal Pain Patients by Heart Rate Variability

REFERENCES

• Lee H Y., Yeh W Y., Chen C W., Wang J D. Prevalence and psychosocial risk factors of upper extremity musculoskeletal pain in industries of Taiwan: A nationwide study. Journal of Occupational Health 2005; 47(4)311–318
   PubMedGoogle Scholar
• Buckle P W., Devereux J J. The nature of work-related neck and upper limb musculoskeletal disorders. Apple Ergon 2002; 33: 207–217
   PubMed Web of Science ®Google Scholar
• National Institute for Occupational Safety and Health (NIOSH). National Occupational Research Agenda for Musculoskeletal Disorders: Research Topics for the Next Decade. A report by the NORA Musculoskeletal Disorders Team. Cincinnati: Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health. DHHS [NIOSH] Publication Number 2001–117, 2001
   Google Scholar
• Aptel M, Aublet-Cuvelier A, Cnockaert J C. Work-related musculoskeletal disorders of the upper limb. Joint Bone Spine 2002; 69: 546–555
   PubMed Web of Science ®Google Scholar
• Muirden K D. The origins, evolution and future of COPCORD. APLAR J Rheumatol 1997; 1: 44–48
   Google Scholar
• Harkness E F., Macfarlane G J., Silman A J., McBeth J. Is musculoskeletal pain more common now than 40 years ago?: Two population-based cross-sectional studies. Rheumatology 2005; 44: 890–895
   PubMed Web of Science ®Google Scholar
• Turk D, Okifuji A. Assessment of patients' reporting of pain: An integrated perspective. The Lancet 1999; 353(9166)1784–1788
   PubMedGoogle Scholar
• Ikeda K. Quantitative evaluation of pain by analyzing non-invasively obtained physiological data with particular reference to joint healing with continuous passive motion. Proceedings RC IEEE-EMBS & 14th BMESI. 1995; 3.25–3.26
   Google Scholar
• Lindh V, Wiklund U, Sandman P O., Håkansson S. Assessment of acute pain in preterm infants by evaluation of facial expression and frequency domain analysis of heart rate variability. Early Human Development 1997; 48: 131–142
   PubMed Web of Science ®Google Scholar
• Bromm B, Scharein E. Response plasticity of pain evoked reactions in man. Physiology and Behavior 1982; 28: 109–116
   PubMedGoogle Scholar
• Kanda M, Matsuhashi M, Sawamoto N, Oga T, Mima T, Nagamine T, Shibasaki H. Cortical potentials related to assessment of pain intensity with visual analog scale [VAS]. Clin Neurophysiol 2002; 113(7)1013–1024
   PubMedGoogle Scholar
• Hyndman B W., Gregory J R. Spectral analysis of sinus arrhythmia during mental loading. Ergonomics 1975; 18(3)255–270
   PubMed Web of Science ®Google Scholar
• Akselrod S, Gordon D, Ubel F A., Shannonet D C., Barger A C., Cohen R J. Power spectrum analysis of heart rate fluctuation: A quantitative probe of beat-to-beat cardiovascular control. Science 1981; 213(10)220–223
   PubMedGoogle Scholar
• Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Circulation 1996; 93(5)1043–1065
   PubMed Web of Science ®Google Scholar
• Ventura A G., Reisman S. A study of factors affecting cardiovascular reactivity. IEEE Trans Biomed Eng 2000; 26: 53–54
   Google Scholar
• Reyes-Gibby C C., Linda L, McCrory L L., Cleeland C S. Variations in patient's self-report of pain by treatment setting. J Pain Symptom Manage 2003; 25(5)444–448
   PubMedGoogle Scholar
• Ward S E., Goldberg N, Miller-McCauley V, Mueller C, Nolan A, Pawlik-Plank D, Robbins A, Stormoen D, Weissman D E. Patient-related barriers to management of cancer pain. Pain 1993; 52(3)319–324
   PubMed Web of Science ®Google Scholar
• Lindqvist A. Noninvasive methods to study autonomic nervous control of circulation. Acta Physiol Scand Suppl 1990; 588: 1–107
   PubMedGoogle Scholar
• Sandercock G RH, Bromley P D., Brodie D A. The reliability of short-term measurements of heart rate variability. International J Cardiology 2005; 103(3)238–247
   PubMedGoogle Scholar
• Pan J, Tompkins W J. A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering 1985; 3: 230–236
   Google Scholar
• Appel M L., Berger R D., Saul J P., Smith J M., Cohen R J. Beat to beat variability in cardiovascular variables: noise or music?. J Am Coll Cardiol 1989; 14(5)1139–1148
   PubMed Web of Science ®Google Scholar
• van Ravenswaaij-Arts C M., Kollee L A., Hopman J C., Stoelinga G B., van Geijn H P. Heart rate variability. Ann Int Med 1993; 118(6)436–447
   PubMed Web of Science ®Google Scholar
• Kay S M., Marple S L. Spectrum analysis-a modern perspective. Proceedings of theIEEE 1981; 69(11)1380–1419
   Web of Science ®Google Scholar
• Chen J-T, Chung K-C, Hou C-R, Kuan T-S, Chen S-M, Hong C-Z. Inhibitory effect of dry needling on the spontaneous electrical activity recorded from myofascial trigger spots of rabbit skeletal muscle. Am J Physical Med Rehab 2001; 80(10)729–735
   PubMed Web of Science ®Google Scholar
• Melzack R, Wall P D. Pain mechanism: a new theory. Science 1965; 150: 971–979
   PubMed Web of Science ®Google Scholar
• Williamson A, Hoggart B. Pain: A review of three commonly used pain rating scales. J Clin Nurs 2005; 14(7)798–804
   PubMed Web of Science ®Google Scholar
• Lynch M. Pain as the fifth vital sign. J Intravenous Nursing 2001; 24(2)85–94
   PubMedGoogle Scholar
• Malliani A, Pagani M, Lombardi F, Cerutti S. Cardiovascular neural regulation explored in the frequency domain. Circulation 1991; 84: 1482–1492
   Google Scholar
• The International Association for the Study of Pain, Subcommittee on Taxonomy. Classification of chronic pain. Descriptions of chronic pain syndromes and definitions of pain terms. Pain Suppl 1986; 3: S1–S226
   PubMedGoogle Scholar