Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement

Accelerometry offers a practical and low cost method of objectively monitoring human movements, and has particular applicability to the monitoring of free-living subjects. Accelerometers have been used to monitor a range of different movements, including gait, sit-to-stand transfers, postural sway and falls. They have also been used to measure physical activity levels and to identify and classify movements performed by subjects. This paper reviews the use of accelerometer-based systems in each of these areas. The scope and applicability of such systems in unsupervised monitoring of human movement are considered. The different systems and monitoring techniques can be integrated to provide a more comprehensive system that is suitable for measuring a range of different parameters in an unsupervised monitoring context with free-living subjects. An integrated approach is described in which a single, waist-mounted accelerometry system is used to monitor a range of different parameters of human movement in an unsupervised setting.

[1]  G Kamen,et al.  Detecting Balance Deficits in Frequent Fallers Using Clinical and Quantitative Evaluation Tools , 1998, Journal of the American Geriatrics Society.

[2]  P.H. Veltink,et al.  Towards a new method for kinematic quantification of bradykinesia in patients with Parkinson's disease using triaxial accelerometry , 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.

[3]  P. Freedson,et al.  Validity of accelerometry for the assessment of moderate intensity physical activity in the field. , 2000, Medicine and science in sports and exercise.

[4]  Patricia C. Fehling,et al.  VALIDATION OF THE CALTRAC AND TRITRAC ACCELEROMETERS IN OLDER ADULTS DURING WALKING AND STEPPING EXERCISE: 286 , 1995 .

[5]  B. Auvinet,et al.  Accelerometric gait analysis for use in hospital outpatients. , 1999, Revue du rhumatisme.

[6]  E. Gallasch,et al.  Instrumentation for assessment of tremor, skin vibrations, and cardiovascular variables in MIR space missions , 1996, IEEE Transactions on Biomedical Engineering.

[7]  D G Lloyd,et al.  Sensori-motor function, gait patterns and falls in community-dwelling women. , 1996, Age and ageing.

[8]  M. Fukakusa,et al.  [Use of an accelerometer to measure coughing]. , 1998, Nihon Kokyuki Gakkai zasshi = the journal of the Japanese Respiratory Society.

[9]  S R Lord,et al.  Simple physiological and clinical tests for the accurate prediction of falling in older people. , 1996, Gerontology.

[10]  M. Lafortune Three-dimensional acceleration of the tibia during walking and running. , 1991, Journal of biomechanics.

[11]  A. Campbell,et al.  Risk factors for falls in a community-based prospective study of people 70 years and older. , 1989, Journal of gerontology.

[12]  F D LIDDELL Estimation of energy expenditure from expired air. , 1963, Journal of applied physiology.

[13]  K. Aminian,et al.  Physical activity monitoring based on accelerometry: validation and comparison with video observation , 1999, Medical & Biological Engineering & Computing.

[14]  P. Veltink,et al.  Validity and reliability of measurements obtained with an "activity monitor" in people with and without a transtibial amputation. , 1998, Physical therapy.

[15]  U. Ekelund,et al.  Physical activity assessed by activity monitor and doubly labeled water in children. , 2001, Medicine and science in sports and exercise.

[16]  A. L. Evans,et al.  Recording accelerations in body movements , 2006, Medical and Biological Engineering and Computing.

[17]  Christian T.M. Baten,et al.  Estimation of orientation with gyroscopes and accelerometers , 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

[18]  P. Laippala,et al.  Predictors for recurrent falls among the home-dwelling elderly. , 1995, Scandinavian journal of primary health care.

[19]  M. Mathie,et al.  of the 23 rd Annual EMBS International Conference , October 25-28 , Istanbul , Turkey A SYSTEM FOR MONITORING POSTURE AND PHYSICAL ACTIVITY USING ACCELEROMETERS , 2004 .

[20]  B. Ainsworth,et al.  Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. , 2000, Medicine and science in sports and exercise.

[21]  T Togawa,et al.  Classification of acceleration waveforms during walking by wavelet transform. , 1997, Methods of information in medicine.

[22]  C. Pieper,et al.  The reliability, validity, and stability of a measure of physical activity in the elderly. , 1996, Archives of physical medicine and rehabilitation.

[23]  R. Guimarães,et al.  Characteristics of the gait in old people who fall. , 1980, International rehabilitation medicine.

[24]  L. Epstein,et al.  Relationships between TriTrac-R3D vectors, heart rate, and self-report in obese children. , 1997, Medicine and science in sports and exercise.

[25]  Sungmee Park,et al.  Enhancing the quality of life through wearable technology , 2003, IEEE Engineering in Medicine and Biology Magazine.

[26]  J. D. Janssen,et al.  Assessment of energy expenditure for physical activity using a triaxial accelerometer. , 1994, Medicine and science in sports and exercise.

[27]  M. Akay,et al.  Discrimination of walking patterns using wavelet-based fractal analysis , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[28]  E. P. Mccutcheon,et al.  Body acceleration distribution and O2 uptake in humans during running and jumping. , 1980, Journal of applied physiology: respiratory, environmental and exercise physiology.

[29]  K Aminian,et al.  Can accelerometry accurately predict the energy cost of uphill/downhill walking? , 2001, Ergonomics.

[30]  R. E. Mayagoitia,et al.  Quantifying the stability of walking using accelerometers , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[31]  J. B. J. Bussmann,et al.  Measuring daily behavior using ambulatory accelerometry: The Activity Monitor , 2001, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[32]  D. Winter A.B.C. (anatomy, biomechanics and control) of balance during standing and walking , 1995 .

[33]  Liberson Wt BIOMECHANICS OF GAIT: A METHOD OF STUDY. , 1965 .

[34]  Hermie Hermens,et al.  Standing balance evaluation using a triaxial accelerometer. , 2002, Gait & posture.

[35]  A. L. Evans,et al.  Measurement of gait by accelerometer and walkway: A comparison study , 1992, Medical and Biological Engineering and Computing.

[36]  J. D. Janssen,et al.  Daily physical activity assessment: comparison between movement registration and doubly labeled water. , 1996, Journal of applied physiology.

[37]  J. Steele,et al.  A kinematic and kinetic analysis of the sit-to-stand transfer using an ejector chair: implications for elderly rheumatoid arthritic patients. , 1997, Journal of biomechanics.

[38]  A. Page,et al.  Physical activity patterns in normal, overweight and obese individuals using minute-by-minute accelerometry , 2000, European Journal of Clinical Nutrition.

[39]  G.A.L. Meijer,et al.  Methods to assess physical activity with special reference to motion sensors and accelerometers , 1991, IEEE Transactions on Biomedical Engineering.

[40]  L. Epstein,et al.  Determinants of physical activity in obese children assessed by accelerometer and self-report. , 1996, Medicine and science in sports and exercise.

[41]  Ben Heller,et al.  Evaluation of balance during activities of daily living , 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

[42]  Robert Williams,et al.  Fully proportional actigraphy: A new instrument , 1996 .

[43]  P. Hawranik,et al.  A clinical possibility: preventing health problems after the age of 65. , 1991, Journal of gerontological nursing.

[44]  T Togawa,et al.  Classification of waist-acceleration signals in a continuous walking record. , 2000, Medical engineering & physics.

[45]  M. Makikawa,et al.  Development of an ambulatory physical activity and behavior map monitoring system , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[46]  D L Smith,et al.  Comparison of accelerometers with oxygen consumption in older adults during exercise. , 1999, Medicine and science in sports and exercise.

[47]  J. Fahrenberg,et al.  Assessment of posture and motion by multichannel piezoresistive accelerometer recordings. , 1997, Psychophysiology.

[48]  Friedrich Foerster,et al.  Motion pattern and posture: Correctly assessed by calibrated accelerometers , 2000, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[49]  C J Snijders,et al.  Computerized analysis of daily life motor activity for ambulatory monitoring. , 1997, Technology and health care : official journal of the European Society for Engineering and Medicine.

[50]  Angie S Page,et al.  Commuting to school: are children who walk more physically active? , 2003, American journal of preventive medicine.

[51]  G. Williams,et al.  A smart fall and activity monitor for telecare applications , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[52]  A McIntosh,et al.  The design of a practical and reliable fall detector for community and institutional telecare , 2000, Journal of telemedicine and telecare.

[53]  J. Bussmann,et al.  Analysis and decomposition of signals obtained by thigh-fixed uni-axial accelerometry during normal walking , 2000, Medical and Biological Engineering and Computing.

[54]  N H Lovell,et al.  The potential impact of home telecare on clinical practice , 1999, The Medical journal of Australia.

[55]  Wouter Olthuis,et al.  Procedure for in-use calibration of triaxial accelerometers , 1997 .

[56]  Toshiyo Tamura,et al.  Classification of acceleration waveform in a continuous walking record , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[57]  John Pyle,et al.  Convection-based technology offers the lowest-cost accelerometers and tilt sensors , 2002 .

[58]  J. Webster,et al.  Estimation of energy expenditure by a portable accelerometer. , 1983, Medicine and science in sports and exercise.

[59]  M Sun,et al.  A method for measuring mechanical work and work efficiency during human activities. , 1993, Journal of biomechanics.

[60]  P. Friedman,et al.  A prospective trial of serial gait speed as a measure of rehabilitation in the elderly. , 1988, Age and ageing.

[61]  Trish Hurford Gait Speed and Activities of Daily Living Function in Geriatric Patients , 1996 .

[62]  C. Patten,et al.  An Accelerometry-Based System for the Assessment of Balance and Postural Sway , 1997, Gerontology.

[63]  Emil Jovanov,et al.  Stress monitoring using a distributed wireless intelligent sensor system. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[64]  J S Arora,et al.  Accelerographic analysis of several types of walking. , 1971, American Journal of Physical Medicine.

[65]  P. Freedson,et al.  Age and gender differences in objectively measured physical activity in youth. , 2002, Medicine and science in sports and exercise.

[66]  KR Westerterp,et al.  Physical inactivity as a determinant of the physical activity level in the elderly , 2001, International Journal of Obesity.

[67]  J B Bussmann,et al.  Measuring physical strain during ambulation with accelerometry. , 2000, Medicine and science in sports and exercise.

[68]  M Makikawa,et al.  Development of an ambulatory physical activity memory device and its application for the categorization of actions in daily life. , 1995, Medinfo. MEDINFO.

[69]  A Cappozzo,et al.  Low frequency self-generated vibration during ambulation in normal men. , 1982, Journal of biomechanics.

[70]  Catherine Sherrington,et al.  Increased Prevalence of Fall Risk Factors in Older People following Hip Fracture , 1998, Gerontology.

[71]  S. Trost,et al.  Physical activity and determinants of physical activity in obese and non-obese children , 2001, International Journal of Obesity.

[72]  K. Kerr,et al.  Analysis of the sit-stand-sit movement cycle in normal subjects. , 1997, Clinical biomechanics.

[73]  G. Hansson,et al.  Validity and reliability of triaxial accelerometers for inclinometry in posture analysis , 2001, Medical and Biological Engineering and Computing.

[74]  J. Kent‐Braun,et al.  Quantitation of lower physical activity in persons with multiple sclerosis. , 1997, Medicine and science in sports and exercise.

[75]  B. Merminod,et al.  Improvement of walking speed prediction by accelerometry and altimetry, validated by satellite positioning , 2000, Medical and Biological Engineering and Computing.

[76]  P S Freedson,et al.  Comparison of activity levels using the Caltrac accelerometer and five questionnaires. , 1994, Medicine and science in sports and exercise.

[77]  E K Antonsson,et al.  The frequency content of gait. , 1985, Journal of biomechanics.

[78]  Jeffrey M. Hausdorff,et al.  Increased gait unsteadiness in community-dwelling elderly fallers. , 1997, Archives of physical medicine and rehabilitation.

[79]  Ilkka Korhonen,et al.  Health monitoring in the home of the future. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[80]  M Makikawa,et al.  Ambulatory behavior map, physical activity and biosignal monitoring system. , 1997, Methods of information in medicine.

[81]  J. Winters,et al.  Wearable sensors and telerehabilitation , 2003, IEEE Engineering in Medicine and Biology Magazine.

[82]  D Fucci,et al.  Instrumentation for assessment of oral vibrotactile sensation and perception. , 1990, The International journal of orofacial myology : official publication of the International Association of Orofacial Myology.

[83]  K. Aminian,et al.  Temporal feature estimation during walking using miniature accelerometers: an analysis of gait improvement after hip arthroplasty , 1999, Medical & Biological Engineering & Computing.

[84]  H. Busser,et al.  Ambulatory monitoring of physical activity in working situations, a validation study. , 1998, Journal of medical engineering & technology.

[85]  K Aminian,et al.  Incline, speed, and distance assessment during unconstrained walking. , 1995, Medicine and science in sports and exercise.

[86]  M. Mathie,et al.  Detection of daily physical activities using a triaxial accelerometer , 2003, Medical and Biological Engineering and Computing.

[87]  M. Verduin,et al.  Effects of placement and orientation of body-fixed accelerometers on the assessment of energy expenditure during walking , 2006, Medical and Biological Engineering and Computing.

[88]  D. A. Farris,et al.  A simplified accelerometer system for analysis of human gait , 1993 .

[89]  P. Holliday,et al.  The relationship of postural sway in standing to the incidence of falls in geriatric subjects. , 1982, Age and ageing.

[90]  J. D. Janssen,et al.  A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity , 1997, IEEE Transactions on Biomedical Engineering.

[91]  John G. Webster,et al.  Estimating Human Energy Expenditure Using An Accelerometer Device , 1984 .

[92]  R. V. Emmerik,et al.  Dynamics of movement coordination and tremor during gait in Parkinson's disease , 1996 .

[93]  P. Freedson,et al.  Compliance with physical activity guidelines: prevalence in a population of children and youth. , 2002, Annals of epidemiology.

[94]  K. Aminian,et al.  The prediction of speed and incline in outdoor running in humans using accelerometry. , 1999, Medicine and science in sports and exercise.

[95]  P H Veltink,et al.  Detection of static and dynamic activities using uniaxial accelerometers. , 1996, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[96]  H Harry Asada,et al.  Mobile monitoring with wearable photoplethysmographic biosensors. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[97]  M. Munih,et al.  Analysis of standing up and sitting down in humans: definitions and normative data presentation. , 1990, Journal of biomechanics.

[98]  Marsha Dowda,et al.  WEEKDAY VERSUS WEEKEND PHYSICAL ACTIVITY PATTERNS IN YOUTH: GENDER AND AGE GROUP DIFFERENCES. , 1998 .

[99]  M I Woodward,et al.  Skeletal Accelerations Measured during Different Exercises , 1993, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[100]  John Miller Cooper,et al.  The biomechanics of human movement , 1989 .

[101]  R. Moe-Nilssen Test-retest reliability of trunk accelerometry during standing and walking. , 1998, Archives of physical medicine and rehabilitation.

[102]  Jack M. Winters,et al.  Biomechanics and Neural Control of Posture and Movement , 2011, Springer New York.

[103]  B. Steele,et al.  Quantitating physical activity in COPD using a triaxial accelerometer. , 2000, Chest.

[104]  Y Schutz,et al.  High-precision satellite positioning system as a new tool to study the biomechanics of human locomotion. , 2000, Journal of biomechanics.

[105]  M. Sun,et al.  Improving energy expenditure estimation by using a triaxial accelerometer. , 1997, Journal of applied physiology.