A Portable Wireless Solution for Back Pain Telemonitoring: A 3D-Based, Virtual Reality Approach - Computational Intelligence in Healthcare: Advanced Methodologies - page 443

37. Parker, H., Wood, P.L., Main, C.J.: The Use of the Pain Drawing as a Screening Measure
to Predict Psychological Distress in Chronic Low Back pain. Spine 20(2), 236-243 (1995)
38. Patel, V.: Diagnostic Modalities for Low Back Pain, vol. 2, pp. 145-153. Elsevier, Am-
sterdam (2004)
39. Prather, H., Foye, P.M., Cianca, J.C.: Industrial Medicine and Acute Muscu-loskeletal Re-
habilitation: Diagnosing and Managing the Injured Worker with Low Back Pain. Arch
Physical Medicine Rehabilitation 83(1), 3-6 (2002)
40. Prkachin, K.M., Schultz, I., Berkowitz, J., Hughes, E., Hunt, D.: Assessing pain behavior
of low-back pain patients in real time: Concurrent validity and examiner sensitivity. Be-
hav. Res. Therapy 40(5), 595-607 (2002)
41. Provenzano, D.A., Fanciullo, G.J., Jamison, R.N., McHugo, G.J., Baird, J.C.: Computer
Assessment and Diagnostic Classification of Chronic Pain Patients. Pain Medicine 8(S3),
167-175 (2007)
42. Raj, P.P., Paradise, L.A.: Myofascial Pain Syndrome and Its Treatment in Low Back Pain,
pp. 167-174. Elsevier Science, Amsterdam (2004)
43. Ransford, A.O., Cairns, D., Mooney, V.: The Pain Drawing as an Aid to Psy-chologic
Evaluation of Patients with Low-Back pain. Spine 1(2), 127-134 (1976)
44. Sanders, N.W., Mann, N.H.: Automated scoring of patient pain drawings us-ing artificial
neural networks: efforts toward a low back pain triage application. Computers in Biology
and Medicine, 287-298 (2000)
45. Sanders, W.N., Mann, N.H., Spengler, M.D.: Pain Drawing Scoring Is Not Improved by
Inclusion of Patient-Reported Pain Sensation. Spine 31(23), 2735-2741 (2006)
46. Sanderson, P.L., Wood, P.L.R.: Surgery for lumbar spinal stenosis in old people. J. Bone
Joint Surg. 75, 393-397 (1993)
47. Serif, T., Ghinea, G.: Recording of Time-Varying Back-Pain Data: A Wire-less Solution.
IEEE Transactions on Information Technology in Biomedicine 9(3), 447-458 (2005)
48. Serif, T., Ghinea, G., Frank, A.O.: A Ubiquitous Approach for Visualizing Back Pain
Data, pp. 1018-1027. Springer, Heidelberg (2005)
49. Takata, K., Hirotani, H.: Pain drawing in the evaluation of low back pain. International Or-
thopaedics, 361-366 (1995)
50. Uden, A., Astrom, M., Bergenudd, H.: Pain Drawings in Chronic Back pain. Spine 13(4),
389-392 (1988)
51. Uden, A., Landin, L.A.: Pain drawing and myelography in sciatic pain. Clin. Orthop. 216,
124-130 (1987)
52. Van den Bosch, M.A.A.J., Hollingworth, W., Kinmonth, A.L., Dixon, A.K.: Evidence
against the use of lumbar spine radiography for low back pain. Clinical Radiology 59, 69-
76 (2004)
53. Vaughn, M.L., Cavill, S.J., Taylor, S.J., Foy, M.A., Fogg, A.J.B.: Using Di-rect Explana-
tions to Validate a Multi-layer Perceptron Network that Classifies Low Back Pain Patients,
pp. 692-699. IEEE, Los Alamitos (1999)
54. Warren, J.R., Warren, D.E., Freedman, R.W.: A Knowledge-based Patient Data Acquisi-
tion System for Primary Care Medicine. Communications of the ACM, 547-553 (1993)
55. Wong, Y.E., Deyo, A.R.: Acute low back pain. Elsevier Science 8(5), 171-174 (2001)