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Computer-Aided Music Therapy Evaluation: Investigating and Testing the Music Therapy Logbook Prototype 1 System

By Elaine Streeter


This thesis describes the investigation and testing of a prototype music therapy practice evaluation system: Music Therapy Logbook, Prototype 1. Such a system is intended to be used by music therapists as an aid to their existing evaluation techniques. The investigation of user needs, the multi-disciplinary team work, the pre-field and field recording tests, and the computational music analysis tests are each presented in turn, preceded by an in depth literature review on historical and existing music therapy evaluation methods. A final chapter presents investigative design work for proposed user interface software pages for the Music Therapy Logbook system. Four surveys are presented (n = 6, n = 10, n = 44, n =125). These gathered information on current music therapy evaluation methods, therapists‘ suggested functions for the system, and therapists‘ attitudes towards using the proposed automatic and semi-automatic music therapy evaluation functions, some of which were tested during the research period. The results indicate enthusiasm for using the system to; record individual music therapy sessions, create written notes linked to recordings and undertake automatic and/or semi-automatic computer aided music therapy analysis; the main purpose of which is to quantify changes in a therapist‘s and patient‘s use of music over time, (Streeter, 2010). Simulated music therapy improvisations were recorded and analysed. The system was then used by a music therapist working in a neuro-disability unit, to record individual therapy sessions with patients with acquired brain injuries. These recordings constitute the first music therapy audio recordings employing multi-track audio recording techniques, using existing radio microphone technology. The computational music analysis tests applied to the recordings are the first such tests to be applied to recordings of music therapy sessions in which an individual patient played acoustic, rather than MIDI, instruments. The findings prove it is possible to gather objective evidence of changes in a patient‘s and therapist‘s use of music over time, using the Music Therapy Logbook Prototype 1 system

Publisher: Music (York)
Year: 2010
OAI identifier:

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  1. (2005).The International Scope of Arts Therapies.
  2. (1995). (Ed.) Music Therapy Research Quantitative and Qualitative Perspectives. Gilsum, NH:
  3. (2006). (Ed) Feminist Perspectives in Music Therapy.
  4. (2006). A Cochrane Review of Music therapy for Autistic Spectrum Disorder. The Cochrane Library,
  5. A computer assisted information retrieval system in music therapy. A word and author index of published studies.
  6. (2000). A Method of Analysing Improvisations in Music Therapy.
  7. (1989). A musical assessment of psychiatric states in adults.
  8. (2000). A Test-Retest Reliability Study of the Residual Music Skills Test.
  9. (1981). a Theoretical Understanding of Rhythmic Responses in Music Therapy. British Society of Music Therapy. Monograph. Available from: British Association of Music Therapy,
  10. (2007). A validation and reliability study of a musical assessment tool for low awareness states. Royal Hospital for Neuro-disability Research Report,
  11. (2010). American Association of Public Opinion Research (AAPOR)
  12. (2002). An Algorithm for Determining key Boundaries. In:
  13. (2008). An analysis of qualitative music therapy research reports 1987–2006: Articles and book chapters.
  14. An Information retrieval system for music therapy.
  15. (2008). An interactive data analysis logbook for evaluating evidence of the effectiveness of music therapy treatment with neuro-rehabilitation patients. Poster presentation.
  16. (1999). Analysis of Musical Improvisations to Understand and Work with Elements of Resistance in a Client with Anorexia Nervosa Chapter. In:
  17. (2008). Anita Forsblom, Seppo Soinila, Mikko Mikkonen,Taina Autti, Heli
  18. (2005). Arts Based Research. In: Wheeler,
  19. (2000). Assessments in the Creative Arts Therapies: Learning From Each Other. Music Therapy Perspectives:
  20. (2010). Automatic Chord Transcription Using Computational Models of Musical Context.
  21. (2001). Bringing music to life: a study of music therapy and palliative care experiences in a cancer hospital. Journal of Palliative Care,
  22. (2000). Clinical and theoretical perspectives on poetic processes in music therapy, with reference to Nordoff and Robbins‘ case study of Edward.
  23. (2002). Combining Musical and Cultural Features for Intelligent Style Detection. In:
  24. (2005). Computer programs for quantative data analysis.
  25. Considering the paradigmatic frame: Social science research approaches relevant to research in music therapy.
  26. (2007). Context-dependent Beat Tracking of Musical Audio. In:
  27. (1988). Contribution of Different Cortical Areas in the Temporal Lobes to Music Processing.
  28. (2007). Creative music therapy: a guide to fostering clinical musicianship, (2nd edition). Gilsum, N.H.:
  29. (1977). Creative Music Therapy.
  30. (2008). Database of Systematic Reviews
  31. (1999). Definition and Use of the Musical Transference Relationship. In: Wigram,
  32. (2009). Designing wiimprovisation for mediation in group music therapy with children suffering from behavioral disorders.
  33. (2006). Development of a ComputerAided Tool for Evaluation and Training in 3D Spatial Cognitive Function.
  34. (2000). Development of a Special Education Music Therapy Assessment Process. Music Therapy Perspectives,
  35. (2010). Do Music Therapists Want to Use Computer Aided Music Therapy Evaluation?
  36. (1994). Effect of Improvisational Music Therapy on the Communicative Behaviours of Autistic Children.
  37. (2004). Effects of music therapy for children and adolescents with psychopathology: a meta-analysis.
  38. (2007). Eric
  39. (2000). Evaluación de la improvisación grupal en musicoterapia.
  40. (1987). Evaluating software for music therapy applications.
  41. (2007). Event Based Analysis of Improvisations Using the Improvisation Assessment Profiles. In: Wosch,
  42. (2003). From best evidence to best practice: Effective implementation of change in patients‘ care. The Lancet, Vol.362, p.1225
  43. (2000). Geriatric Music Therapy Clinical Assessment: Assessment of Music Skills and related behaviors.
  44. (2000). Geriatric Music Therapy Clinical Assessment: Assessment of Music Skills And Related Behaviors. Music Therapy Perspectives,
  45. (2008). Health Research, Centre for Reviews and Dissemination,
  46. (1995). (2010) (p.2) [Accessed 06.07.2010] Drengson, Alan & Intour,Yuichi
  47. (2004). Implications of technology in music therapy practice and research for music therapy education: A review of literature.
  48. (1987). Improvisational Models of Music Therapy. Springfield: Charles C.
  49. (2002). Indications in Music Therapy: Evidence from assessment that can identify the expectations of music therapy as a treatment for Autistic Spectrum Disorder (ASD); meeting the challenge of evidence Based Practice.
  50. (2009). Influences of Signal Processing, Tone Profiles, and Chord Progressions on a Model for Estimating the Musical Key from Audio.
  51. (1994). Integrating Technology. Music Therapy Perspectives,
  52. (2008). Listening to Music in Psychotherapy.
  53. London: Nordoff Robbins Music Therapy Centre London Publication. p.32 Ansdell, G.(1995). Music for life: Aspects of creative music therapy with adult clients.
  54. (2002). Making Music with the Young Child with Special Needs: A Guide for Parents.
  55. (2002). Melodic Segmentation: Evaluating the Performance of Algorithms and Musical Experts. In:
  56. (2007). Microanalysis of Processes of Interactions in Clinical Music Therapy with IAP-Automony. In: Wosch, Thomas & Wigram,
  57. (1999). Mothers and infants and communicative musicality. In: Rhythms, Musical Narrative, and the Origins of Human Communication.
  58. (2005). Music Database Retrieval Based on Spectral Similarity. In:
  59. (1991). Music in Communication: Improvisation in Music Therapy PhD. Thesis.
  60. (2000). Music Psychotherapy Assessment. Music Therapy Perspectives,
  61. (1993). Music representation issues, techniques, and systems.
  62. (2003). Music technology. A computer aided music therapy analysis system - CAMTAS. A thesis accepted by the University of York for the degree of Doctor of Engineering (D.Eng.) Available from:
  63. (2000). Music therapy and electronic technology.
  64. (2000). Music therapy assessment in school settings: a preliminary investigation
  65. (2000). Music Therapy Assessment in the Managed Care Environment. Music Therapy Perspectives:
  66. (2010). Music therapy for acquired brain injury.
  67. (2008). Music Therapy for Depression.
  68. (2004). Music therapy for people with dementia. Cochrane Database of Systematic Reviews
  69. (1997). Music Therapy in Context: Music Meaning and Relationship London:
  70. (2008). Music Therapy in Parkinson‘s Disease. In: Voices: A World Forum for Music Therapy. Available from:
  71. (1996). Music therapy research and practice in medicine. From out of the silence.
  72. (2001). Music therapy research: A review of references in the medical literature. Music Therapy World. Available from: [Accessed 30.06.2010] Aldridge,
  73. (2007). Music Therapy Toolbox (MTTB) An Improvisation Analysis Tool for Clinicians
  74. (2001). Music Therapy. In:
  75. (1999). Musicality and the Intrinsic Motive Pulse: Evidence from human psychobiology and infant communication. In: Rhythms, Musical Narrative, and the Origins of Human Communication. Musicae Scientiae, Special Issue,
  76. (2008). Nordic Journal of Music Therapy. Available from: [Retrieved 16.05.10]
  77. (1971). Playing and Reality.
  78. Possibilities and Problems for Evidence-Based Practice in Music Therapy.
  79. (2005). Procedural-Support Music therapy in the Healthcare Setting: A Cost Effective Analysis.
  80. (1996). Processes in Music Therapy.
  81. (2007). Reactions and Responses from the Music Therapy Community to the Growth of Computers and Technology - Some Preliminary Thoughts. Voices: A World Forum for Music Therapy, vol 7, no.1. Available from: [Retrieved October 31,
  82. (1993). Research in Music Therapy: Qualitative or Quantitive? Nordic
  83. (2009). Review of: Microanalysis in Music Therapy. Methods, Techniques and Applications for Clinicians, Researches, Educators and Students.
  84. (1991). Rhythm and Meter: A Theory at
  85. (1970). Rhythmic Abilities and Their Measurement.
  86. (2005). Software tools for music therapy qualitative research.
  87. (1994). Some Reflections on Music Therapy Research – A Collaborative Enquiry. In:
  88. (1989). Structural Analysis of Therapeutic Improvisatory Music.
  89. (2009). Survey Break off. Public Opinion Quarterly, Vol 73 (Spring) p.74 – 97 Porthouse J. et al (2005). Randomised controlled trial of calcium and supplementation with cholecalciferol (vitamin D3) for prevention of fractures in primary care.
  90. (2000). Test Instruments Used by Journal of Music Therapy Authors from 1984-1997.
  91. (2007). Testing the MAP: A graphic method for describing and analyzing music therapy sessions.
  92. (1994). The Development of a Quantitative Music Skills Test for Patients with Alzheimer‘s Disease.
  93. (1986). The diagnosis of schizophrenia by language analysis.
  94. (2001). The double-blind, randomised, placebo-controlled trial: Gold standard or golden calf?
  95. (2007). The Education and Training Inspectorate of Northern Ireland
  96. (1989). The Field of Play: A Guide for the Theory and Practice of Music Therapy.
  97. (1977). The First Relationship.
  98. (2007). The Individualized Music Therapy Assessment Profile,
  99. (2006). The Sonic Visualiser: A Visualisation Platform for Semantic Descriptors from Musical Signals.
  100. (1971). Therapy in Music for Handicapped Children.
  101. (2007). Towards Automatic Rhythmic Accompaniment.
  102. (2008). Tracking the social dimensions of RFID systems in hospitals.
  103. (1994). Unlocking Musicality: using Soundbeam as a new key to eloquence. In:
  104. (1981). Using microcomputer technology in music therapy for analyzing therapist and client behaviour.
  105. Using the evidence based medicine framework to support music therapy posts in health care settings.British
  106. (2006). What Are We Doing to Ourselves? The Branding of Music Therapy in Academia. In:

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