Recognition of daily life motor activity classes using an artificial neural network

Archives of Physical Medicine and Rehabilitation

Volumn 79, Issue 2, 1998, Pages 147-154

  Kiani, Kourosh ^a,b   Snijders, Chris J ^a   Gelsema, Edzard S ^a  

^a ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

^b Fac of Medicine and Health Sciences   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AMBULATORY MONITORING; AMPUTATION; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; DAILY LIFE ACTIVITY; HUMAN; MALE; MOTOR ACTIVITY; MUSCULOSKELETAL DISEASE; PATIENT MONITORING; PHYSICAL DISABILITY; SENSOR;

EID: 0031907485     PISSN: 00039993     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0003-9993(98)90291-X     Document Type: Article

References (41)

1. Pauwels J, Mulder T. A preliminary task set-up for disability-oriented assessment. Report No: (A2002)/AIM/DG XIII. CAMARC-II. Nijmegen, the Netherlands: Nijmegen University; 1993 June 30; 10. p. 22-37.
2. Leo T, Fioretti S. Assessment of clinical protocols. J Hum Move Sci 1991;10:515-25.
3. Macellari V, Bedini R, Leo T. Telemetry for movement monitoring in a rehabilitation context: state of the art and future prospect. In: Proceedings of the 11th International Symposium on Biotelemetry; 1990 Sep 4; Yokohama, Japan. 1990 p. 356-9.
4. Geurts ACH, Mulder T, Rijken RAJ. Nienhuis B. From the analysis of movement to the analysis of skills. J Rehabil Sci 1991;4:9-12.
5. World Health Organization. International Classification of Impairments, Disabilities and Handicaps. Geneva: WHO; 1980.
6. Pauwels J, Mulder T. The concept of disability. Report No: (A2002)/AIM. CAMARC-II, Nijmegen, the Netherlands: Nijmegen University; 1993 Sep 30; 26. p. 2-11.
7. Katz S, Ford AB, Moskowitz RW, Jackson AB, Jaffe MW. Studies of illness in the aged. The index of ADL: a standardized measure of biological and psychosocial function. JAMA 1963;185:914-9.
8. Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 1969;9:179-86.
9. Iverson IA, Silberberg NE, Stever RC, Schoenning HA. The revised Kenny Self-Care Evaluation: a numerical measure of independence in activities of daily living. Minneapolis (MN): Sister Kenny Institute; 1973.
10. Day HJB. The assessment and description of amputee activity. Prosthet Orthot Int 1981;5:23-8.
11. Lawton MP, Moss M, Fulcomer M, Kleban MH. A research and service oriented multilevel assessment instrument. J Gerontol 1982; 37:91-9.
12. Bergner M, Bobbitt RA, Carter WB, Gilson BS. The Sickness Impact Profile: development and final revision of a health status measure. Med Care 1981;19:787-805.
13. Gurland B, Kruriansky J, Sharpe L, Simon R, Stiller P, Birkett P. The Comprehensive Assessment and Referral Evaluation (CARE) - rationale, development and reliability. Int J Aging Hum Dev 1977;8:9-42.
14. Péruchon E, Pélissier J. Clinical relevance of ambulatory monitoring of motor activities. Report No: (A2002)/AIM/DG XIII. CAMARC-II. Rotterdam: Erasmus University; 1994 Sep 30; 26. p. 1-23.
15. Groeneveld WH, Péruchon E. Parameters for Ambulatory Monitoring of Motor Activity. Report No: (A2002)/AIM/DG XIII. CAMARC-II. Rotterdam: Erasmus University; 1993 June 30; 10. p. 81-102.
16. Bussmann JBJ, Veltink PH, Koelma F, Van Lammel RC, Stam HJ. Amulatory monitoring of mobility-related activities: the initial phase of the development of an activity monitor. Eur J Phys Med Rehabil 1995;5:1-7.
17. Snijders CJ, Riel MP, Nordin M. Continuous measurements of spine movements in normal working conditions over periods of 8 hours or more. Ergonomics 1987;30:639-53.
18. Groeneveld WH, Kiani K. Classification of AMMA data. Report No: (A2002)/AIM/DG XIII. CAMARC-II. Rotterdam: Erasmus University; 1994 Sep 30; 26. p. 33-46.
19. LeCun Y, Boser B, Denker J, Henderson D, Howard R, Hubbard W, et al. Backpropagation applied to handwritten zip code recognition. Neural Computation 1989;1:541-51.
20. Simula O, Visa A. Self-organizing feature maps in texture classification and segmentation. Artificial Neural Network II. Amsterdam: North-Holland; 1992. p. 1621-8.
21. Davies ER. Machine vision: theory, algorithms, practicalities. London: Academic Press, 1990.
22. Gelsema ES, Kanal LN. Pattern Recognition in Practice IV: multiple paradigms, comparative studies and hybrid systems. Proceedings of an International Workshop held in Vlieland; 1994 June 1-3; Amsterdam: North-Holland; 1994.
23. Sethi IK, Jain AK. Artificial neural networks and statistical pattern recognition. Amsterdam: North-Holland; 1991.
24. Burr DJ. Experiments on neural net recognition of spoken and written Text. IEEE Trans ASSP 1988;36:1162-9.
25. Waterlander KJ, Groeneveld WH, Konijnendijk HJ. A prototype system for ambulatory monitoring of motor activities. Report No: (A2002)/AIM/DG XIII. CAMARC-II. Rotterdam: Erasmus University; 1994 Sep 13; 14. p. 1-46.
26. Wong AJ. Recognition of general patterns using neural networks. Biol Cyber 1988;58:361-72.
27. Raychaudhuri T, Chieh-hong Yeh J, Hamey LGC, Westcott CT. Baked product classification with the use of a self-organizing map. In: Proceedings of the 6th Australian Confernce on Neural Networks; 1995 Feb 6-8; Sydney. Sydney: University of Sydney; 1995. p. 152-5.
28. Hornik KM, Stinchcombe M, White H. Multilayer feedforward networks are universal approximators. Neural Networks 1989;2:359-66.
29. Favata F, Walker R. A study of the application of Kohonen-type neural networks to the traveling salesman problem. Biol Cyber 1991;64:463-8.
30. Azoff EM. Neural network time series forecasting of financial markets. New York: John Wiley & Sons; 1994.
31. Van der Smagt P, Groen FCA, Kröse BJA. A monocular robot arm can be neurally positioned. In: Proceedings of International Conference on Intelligent Autonomous Systems (IAS-4). Amsterdam: IOS Press; 1995. p. 123-30.
32. Lippmann RP. Review of neural network for speech recognition. Neural Computation 1989;1:1-38.
33. Back AD, Tsoi AC. FIR and IIR synapses, a new neural network architecture for times series modeling. Neural Computation 1991; 3:375-85.
34. Narendra KS, Parthasarathy K. Identification and control of dynamical systems using neural networks. IEEE Trans Neural Network 1990;1:4-27.
35. Wasserman PD. Advanced methods in neural computing. New York: Van Nostrand Reinhold; 1993.
36. Duda RO, Hart PE. Pattern classification and scene analysis. New York: John Wiley & Sons; 1973.
37. Specht D. Probabilistic neural networks. Neural Networks 1990;3: 109-18.
38. Groeneveld WH. A prototype system for ambulatory monitoring of motor activity. Report No: (A2002)/AIM/DG XIII. CAMARC-II. Rotterdam: Erasmus University; 1994 25 July 14. p. 1-46.
39. Groeneveld WH, Waterlander KJ, De Moel AVL, Konijnendijk HJ, Snijders CJ. Instrumentation for ambulatory monitoring of patient movement. Proceedings of Biotelemetry, 12th International Symposium on Biotelemetry; Ancona, Italy; 1992 Sep 21.
40. Holzreiter SH, Köhle ME. Assessment of gait patterns using neural networks. J Biomech 1993;26:645-51.
41. Gonzalez LP, Arnaldo CM. Classification of drug-induced behavior using a multi-layer feed- forward neural network. Computer Methods Prog Biomed 1993;40:167-73.