Direct measurement of human movement by accelerometry

Medical Engineering & Physics - Tập 30 Số 10 - Trang 1364-1386 - 2008
Alan Godfrey1, Rebecca Hasseli1, David Meagher2, Gearóid ÓLaighin3,4
1Biomedical Electronics Laboratory, Electronic and Computer Engineering Department, University of Limerick, Limerick, Ireland
2Department of Psychiatry, Midwestern Regional Hospital, Limerick, Ireland
3Department of Electronic Engineering, National University of Ireland, Galway, Ireland
4National Centre for Biomedical Engineering Science, National University of Ireland, Galway, Ireland

Tóm tắt

Từ khóa


Tài liệu tham khảo

Greene, 1999

Hamill, 2003

Brooke, 1973, Human movement—a field of study

Trew, 2001

Spirduso, 1995

Insel, 1996

Dunnewold, 1997, Quantitative assessment of bradykinesia in patients with parkinson's disease, J Neurosci Methods, 74, 107, 10.1016/S0165-0270(97)02254-1

Moore, 2008, Ambulatory monitoring of freezing of gait in Parkinson's disease, J Neurosci Methods, 167, 340, 10.1016/j.jneumeth.2007.08.023

Moore, 2007, Long-term monitoring of gait in Parkinson's disease, Gait Posture, 26, 200, 10.1016/j.gaitpost.2006.09.011

Wu P-S, Lin C-CK, Wang C-H, Hwang I-S, Atypical task-invariant organization of multi-segment tremors in patients with Parkinson's disease during manual tracking. J Electromyogr Kinesiol 2008; in press.

Howe TE, Rafferty D. Quadriceps activity and physical activity profiles over long durations in patients with osteoarthritis of the knee and controls. J Electromyogr 2007; Kinesiol in press.

Brandes, 2008, Quantity versus quality of gait and quality of life in patients with osteoarthritis, Gait Posture, 28, 74, 10.1016/j.gaitpost.2007.10.004

Ng, 1997, Quantitation of lower physical activity in persons with multiple sclerosis, Med Sci Sports Exerc, 29, 517, 10.1097/00005768-199704000-00014

Epstein, 1996, Determinants of physical activity in obese children assessed by accelerometer and self-report, Med Sci Sports Exerc, 28, 1157, 10.1097/00005768-199609000-00012

Steele, 2003, Bodies in motion: Monitoring daily activity and exercise with motion sensors in people with chronic pulmonary disease, J Rehabil Res Dev, 40, 45, 10.1682/JRRD.2003.10.0045

Pitta, 2008, Relationship between pulmonary function and physical activity in daily life in patients with COPD, Respir Med, 102, 1203, 10.1016/j.rmed.2008.03.004

Culhane, 2004, Long-term mobility monitoring of older adults using accelerometers in a clinical environment, Clin Rehabil, 18, 335, 10.1191/0269215504cr734oa

Zheng, 2005, Position-sensing technologies for movement analysis in stroke rehabilitation, Med Biol Eng Comput, 43, 413, 10.1007/BF02344720

Hoos, 2004, Physical activity pattern of children assessed by triaxial accelerometry, Eur J Clin Nutr, 58, 1425, 10.1038/sj.ejcn.1601991

Kochersberger, 1996, The reliability, validity and stability of a measure of physical activity in the elderly, Arch Phys Med Rehabil, 77, 793, 10.1016/S0003-9993(96)90258-0

Potter, 1995, Gait speed and activities of daily living function in geriatric patients, Arch Phys Med Rehabil, 76, 997, 10.1016/S0003-9993(95)81036-6

Bussmann, 1998, Ambulatory accelerometry to quantify motor behaviour in patients after failed back surgery: a validation study, Pain, 74, 153, 10.1016/S0304-3959(97)00161-9

van Weering MGH, Vollenbroek-Hutten MMR, Tönis TM, Hermens HJ. Daily physical activities in chronic lower back pain patients assessed with accelerometry. Eur J Pain 2008; in press.

Sunderam, 2007, Improved sleep-wake and behavior discrimination using MEMS accelerometers, J Neurosci Methods, 163, 373, 10.1016/j.jneumeth.2007.03.007

Lahti, 2006, Transition to daylight saving time reduces sleep duration plus sleep efficiency of the deprived sleep, Neurosci Lett, 406, 174, 10.1016/j.neulet.2006.07.024

Dubbert, 2006, Physical activity in patients who are severely mentally ill: feasibility of assessment for clinical and research applications, Arch Psychiatr Nurs, 20, 205, 10.1016/j.apnu.2006.04.002

Leonard, 2007, Motion analysis in delirium: a novel method of clarifying subtypes, Neurocase, 13, 272, 10.1080/13554790701646233

Jasiewicz, 2007, Wireless orientation sensors: their suitability to measure head movement for neck pain assessment, Man Ther, 12, 380, 10.1016/j.math.2006.07.005

Pan C-Y. Age, social engagement, and physical activity in children with autism spectrum disorders. Res Autism Spectr Disord 2008; in press.

McGrae McDermott, 2007, Physical activity, walking exercise, and calf skeletal muscle characteristics in patients with peripheral arterial disease, J Vasc Surg, 46, 87, 10.1016/j.jvs.2007.02.064

Sweigard, 1988

Kreighbaum, 1996

Winter, 1990

Culhane, 2005, Accelerometers in rehabilitation medicine for older adults, Age Ageing, 34, 556, 10.1093/ageing/afi192

Saunders, 1953, The major determinants in normal and pathological gait, J Bone Jnt Surg, 35A, 543, 10.2106/00004623-195335030-00003

Morris, 1973, Accelerometry—a technique for the measurement of human body movements, J Biomech, 6, 729, 10.1016/0021-9290(73)90029-8

Schutz, 2001, Assessment of free-living physical activity in humans: an overview of currently available and proposed new measures, Obes Res, 9, 368, 10.1038/oby.2001.48

Mathie, 2004, Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement, Physiol Meas, 25, R1, 10.1088/0967-3334/25/2/R01

Lyons, 2005, A description of an accelerometer-based mobility monitoring technique, Med Eng Phys, 27, 497, 10.1016/j.medengphy.2004.11.006

Najafi, 2003, Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly, IEEE Trans Biomed Eng, 50, 711, 10.1109/TBME.2003.812189

Chen, 2005, The technology of accelerometry-based activity monitors: current and future, Med Sci Sports Exerc, 37, S490, 10.1249/01.mss.0000185571.49104.82

Bouten, 1997, A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity, IEEE Trans Biomed Eng, 44, 136, 10.1109/10.554760

Meijer, 1991, Methods to assess physical activity with special reference to motion sensors and accelerometers, IEEE Trans Biomed Eng, 38, 221, 10.1109/10.133202

Veltink, 1993, The feasibility of posture and movement detection by accelerometry

Tamura, 1995, The design of an ambulatory physical activity monitor and it application to the daily activity of the elderly

Veltink, 1996, Detection of static and dynamic activities using uniaxial accelerometers, IEEE Trans Rehabil Eng [see also IEEE Trans Neural Syst Rehabil], 4, 375

Bussmann, 1998, Quantification of physical activities by means of ambulatory accelerometry: a validation study, Psychophysiology, 35, 488, 10.1017/S0048577298971153

Foerster, 1999, Detection of posture and motion by accelerometery: a validation study in ambulatory monitoring, Comput Hum Behav, 15, 571, 10.1016/S0747-5632(99)00037-0

Yoshida, 2000, A wearable posture, behavior and activity recording system

Najafi, 2000, An ambulatory system for physical activity monitoring in elderly

Mathie, 2003, Detection of daily physical activities using a triaxial accelerometer, Med Biol Eng Comput, 41, 296, 10.1007/BF02348434

Lee, 2003, A study on the activity classification using a triaxial accelerometer

Bao, 2004, Activity recognition from user-annotated acceleration data

Luinge, 2004, Inclination measurement of human movement using a 3D accelerometer with autocalibration, IEEE Trans Neural Syst Rehabil Eng [see also IEEE Trans Rehabil Eng], 12, 112, 10.1109/TNSRE.2003.822759

Baek, 2004

Noury, 2004, ACTIDOM - A microsystem based on MEMS for activity monitoring of the frail elderly in their daily life

Barralon, 2005, Classification of daily physical activities from a single kinematic sensor

Barralon, 2006, Walk detection with a kinematic sensor: frequency and wavelet comparison

Ni Scanaill, 2006, Long-term telemonitoring of mobility trends of elderly people using SMS messaging, IEEE Trans Inf Technol Biomed, 10, 412, 10.1109/TITB.2005.859890

Hester, 2006, Identification of tasks performed by stroke patients using a mobility assistive device

Parkka, 2006, Activity classification using realistic data from wearable sensors, IEEE Trans Inf Technol Biomed, 10, 119, 10.1109/TITB.2005.856863

Karantonis, 2006, Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring, IEEE Trans Inf Technol Biomed, 10, 156, 10.1109/TITB.2005.856864

Cooper, 1993, Comparison of activity sensors and algorithms for rate-responsive pacemakers using ambulatory monitoring

Veltink, 1993, The feasibility of posture and movement detection by accelerometry

Bouten, 1994, Assessment of energy expenditure for physical activity using a triaxial accelerometer, Med Sci Sports Exerc, 26, 1516, 10.1249/00005768-199412000-00016

Mathie, 2001, A system for monitoring posture and physical activity using accelerometers

Mathie, 2002, Determining activity using a triaxial accelerometer

Choi, 2005, Estimation of activity energy expenditure: accelerometer approach

Bourke, 2006, Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm, Gait Posture, 26, 194, 10.1016/j.gaitpost.2006.09.012

Bourke, 2008, The identification of vertical velocity profiles using an inertial sensor to investigate pre-impact detection of falls, Med Eng Phys, 30, 937, 10.1016/j.medengphy.2007.12.003

Bruce, 1996, Wavelet analysis, IEEE Spectr, 33, 26, 10.1109/6.540087

Semmlow, 2004

Lee Fungal, 2006

Yang, 2008, Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers, Pattern Recog Lett, 29, 2213, 10.1016/j.patrec.2008.08.002

Duda, 2001

Kuncheva, 2004

Giansanti, 2008, New neural network classifier of fall-risk based on the Mahalanobis distance and kinematic parameters assessed by a wearable device, Physiol Meas, 29, N11, 10.1088/0967-3334/29/3/N01

Stikic, 2008, ADL recognition based on the combination of RFID and accelerometer sensing

Hsu, 2008, Extended Naive Bayes classifier for mixed data, Expert Syst Appl, 35, 1080, 10.1016/j.eswa.2007.08.031

Chau, 2001, A review of analytical techniques for gait data. Part 2. Neural network and wavelet methods, Gait Posture, 13, 102, 10.1016/S0966-6362(00)00095-3

Ermes, 2008, Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions, IEEE Trans Inf Technol Biomed, 12, 20, 10.1109/TITB.2007.899496

Giansanti, 2008, Assessment of fall-risk by means of a neural network based on parameters assessed by a wearable device during posturography, Med Eng Phys, 30, 367, 10.1016/j.medengphy.2007.04.006

Keijsers, 2003, Movement parameters that distinguish between voluntary movements and levodopa-induced dyskinesia in Parkinson's disease, Hum Mov Sci, 22, 67, 10.1016/S0167-9457(02)00179-3

Engin, 2007, The classification of human tremor signals using artificial neural network, Expert Syst Appl, 33, 754, 10.1016/j.eswa.2006.06.014

Zhang, 2005, Assessment of human locomotion by using an insole measurement system and artificial neural networks, J Biomech, 38, 2276, 10.1016/j.jbiomech.2004.07.036

de Vries, 2006, Clinimetric review of motion sensors in children and adolescents, J Clin Epidemiol, 59, 670, 10.1016/j.jclinepi.2005.11.020

Fehling, 1999, Comparison of accelerometers with oxygen consumption in older adults during exercise, Med Sci Sports Exerc, 31, 171, 10.1097/00005768-199901000-00026

Westerterp, 1999, Physical activity assessment with accelerometers, Int J Obes, 23, 545, 10.1038/sj.ijo.0800883

Ainsworth, 1993, Compendium of physical activities: classification of energy costs of human physical activities, Med Sci Sports Exerc, 25, 71, 10.1249/00005768-199301000-00011

Chen, 1997, Improving energy expenditure estimation by using a triaxial accelerometer, J Appl Physiol, 83, 2112, 10.1152/jappl.1997.83.6.2112

Coleman, 1998, Application of generalizability theory to measurement of activity in males who are not regularly active: a preliminary report, Res Q Exerc Sport, 69, 58, 10.1080/02701367.1998.10607667

Coleman, 1997, Relationships between TriTrac-R3D vectors, heart rate and self-report in obese children, Med Sci Sports Exerc, 29, 1535, 10.1097/00005768-199711000-00022

Conn, 2000, Recording activity in older women with TriTrac, Am J Health Behav, 24, 370, 10.5993/AJHB.24.5.5

DeVoe, 1998, Validity of the TriTrac-R3D accelerometer during backpacking: a case study, J Hum Mov Stud, 34, 271

Epstein, 1996, Determinants of physical activity in obese children assessed by accelerometer and self-report, Med Sci Sports Exerc, 28, 1157, 10.1097/00005768-199609000-00012

Eston, 1998, Validity of heart rate, pedometry and accelerometry for predicting the energy cost of children's activities, J Appl Physiol, 84, 362, 10.1152/jappl.1998.84.1.362

Freedson, 2000, Objective monitoring of physical activity using motion sensors and heart rate, Res Q Exerc Sport, 71, S21, 10.1080/02701367.2000.11082782

Rowlands, 1999, The relationship between activity levels, aerobic fitness, and body fat in 8–10 year old children, J Appl Physiol, 86, 1428, 10.1152/jappl.1999.86.4.1428

Strand, 2000, Tracking children's caloric expenditure in physical education, J Phys Educ Recreation Dance, 71, 35, 10.1080/07303084.2000.10605143

Jakicic, 1999, The accuracy of the TriTrac-R3D accelerometer to estimate energy expenditure, Med Sci Sports Exerc, 31, 747, 10.1097/00005768-199905000-00020

Rowlands, 2004, Validation of the RT3 Triaxial accelerometer for the assessment of physical activity, Med Sci Sports Exerc, 36, 518, 10.1249/01.MSS.0000117158.14542.E7

Hussey J, Bennett K, O’Dwyer J, Langford S, Bell C, Gormley J. Validation of the RT3 in the measurement of physical activity of children. J Sci Med Sport 2007; in press.

Hale, 2008, Measuring free-living physical activity in adults with and without neurologic dysfunction with a triaxial accelerometer, Arch Phys Med Rehabil, 89, 1765, 10.1016/j.apmr.2008.02.027

Barnason, 2008, Relationships between fatigue and early postoperative recovery outcomes over time in elderly patients undergoing coronary artery bypass graft surgery, Heart Lung J Acute Crit Care, 37, 245, 10.1016/j.hrtlng.2007.09.003

Faulkner, 2006, Validation of a physical activity assessment tool for individuals with schizophrenia, Schizophr Res, 82, 225, 10.1016/j.schres.2005.10.020

Godfrey, 2006, Comparison of the performance of the activPAL™ professional physical activity logger to a discrete accelerometer-based activity monitor, Med Eng Phys, 29, 930, 10.1016/j.medengphy.2006.10.001

Ryan, 2006, The validity and reliability of a novel activity monitor as a measure of walking, Brit J Sports Med, 40, 779, 10.1136/bjsm.2006.027276

Tang, 2007, The quantification of lower limb prosthetic wearing times and amputees’ activity levels when using suction sockets

Dumbleton, 2007, Trans-tibial prosthetic system design and benefits for the amputee, service providers and society: an evidence based clinical study

Mendes, 2007, The assessment of lower limb transfemoral amputees’ mobility and locomotion

Ryan, 2007, An investigation of the effects of psychological distress on physical activity levels in individuals with chronic lower back pain

Grant, 2007, The feasibility of measuring activity patterns of women with osteoporosis

McAloon, 2007, A pilot study to validate an activity monitor for use with cerebral palsy

Granat, 2007, Quantification of activity patterns of the elderly population in different care settings

Egerton, 2004, Physical activity of older adults—a pilot study investigating actual upright mobility

Grant, 2007, Validity of a novel activity monitor as an objective measure of walking in older adults

Tigbe, 2007, The objective assessment of free-living physical activity in determining cardiovascular risk factors

Clarke-Moloney, 2007, Mobility in patients with venous leg ulceration, Eur J Vasc Endovasc Surg, 33, 488, 10.1016/j.ejvs.2006.11.032

Harris, 2005, Evaluation of a single axis accelerometry system for monitoring sit to stand activity in stroke patients.

Focht, 2003, Initial validation of the CSA activity monitor during rehabilitation exercise among older adults with chronic disease, J Aging Phys Activity, 11, 293, 10.1123/japa.11.3.293

Brage, 2003, Influence of step frequency on movement intensity predictions with the CSA accelerometer: a field validation study in children, Pediatr Exerc Sci, 15, 277, 10.1123/pes.15.3.277

Patterson, 1993, Automated physical activity monitoring: validation and comparison with physiological and self-report measures, Psychophysiology, 30, 296, 10.1111/j.1469-8986.1993.tb03356.x

Melanson, 1995, Validity of the Computer Science and Applications, Inc. (CSA) activity monitor, Med Sci Sports Exerc, 27, 934, 10.1249/00005768-199506000-00021

Trost, 1998, Validity of the computer science and applications (CSA) activity monitor in children, Med Sci Sports Exerc, 30, 629, 10.1097/00005768-199804000-00023

Esliger, 2003, Does frequency (HZ) and acceleration of movement affect the reliability of the MTI (CSA) ActiGraph?, Med Sci Sports Exerc, 35, S285, 10.1097/00005768-200305001-01585

Yngve, 2003, Effect of monitor placement and of activity setting on the MTI accelerometer output, Med Sci Sports Exerc, 35, 320, 10.1249/01.MSS.0000048829.75758.A0

Thorpy, 1995, Practice parameters for the use of actigraphy in the clinical assessment of sleep disorders, Sleep, 18, 285, 10.1093/sleep/18.4.285

Garnier, 2006, Reliable method to estimate characteristics of sleep and physical inactivity in free-living conditions using accelerometry, Ann Epidemiol, 16, 364, 10.1016/j.annepidem.2005.07.057

Mason, 1992, Measuring circadian rhythms. Actigraph versus activation checklist, West J Nurs Res, 14, 358, 10.1177/019394599201400307

Bergman, 2008, Validity of 2 devices for measuring steps taken by older adults in assisted living facilities, J Phys Activity Health, 5, S166, 10.1123/jpah.5.s1.s166

Foster, 2005, Precision and accuracy of an ankle-worn accelerometer-based pedometer in step counting and energy expenditure, Prev Med, 41, 778, 10.1016/j.ypmed.2005.07.006

Hartsell, 2002, Accuracy of a custom-designed activity monitor: implications for diabetic foot ulcer healing, J Rehabil Res Dev, 39, 395

Coleman, 1999, Step activity monitor: long term continuous recording of ambulatory function, J Rehabil Res Dev, 36, 8

Coleman, 1998, Quantification of prosthetic outcome: FlexWalk-II foot vs. SACH foot

Macko, 2002, Microprocessor-based ambulatory activity monitoring in stroke patients, Med Sci Sports Exerc, 34, 394, 10.1097/00005768-200203000-00002

Bowden, 2007, Step activity monitor: accuracy and test–retest reliability in persons with incomplete spinal cord injury, J Rehabil Res Dev, 44, 355, 10.1682/JRRD.2006.03.0033

McDonald, 2005, Utility of a step activity monitor for the measurement of daily ambulatory activity in children, Arch Phys Med Rehabil, 86, 793, 10.1016/j.apmr.2004.10.011

Algase, 2003, Biomechanical activity devices to index wandering behaviour in dementia, Am J Alzheimers Dis Other Demen, 18, 85, 10.1177/153331750301800202

Karabulut, 2005, Comparison of two waist-mounted and two ankle-mounted electronic pedometers, Eur J Appl Physiol, 95, 335, 10.1007/s00421-005-0018-3

Bussmann, 2004, Validity of the prosthetic activity monitor to assess the duration and spatio-temporal characteristics of prosthetic walking, IEEE Trans Neural Syst Rehabil Eng [see also IEEE Trans Rehabil Eng], 12, 379, 10.1109/TNSRE.2004.840495

Ramstrand, 2007, Validation of a patient activity monitor to quantify ambulatory activity in an amputee population, Prosthet Orthot Int, 31, 157, 10.1080/03093640600988617

Dudek, 2008, Ambulation monitoring of transtibial amputation subjects with patient activity monitor versus pedometer, J Rehabil Res Dev, 45, 577, 10.1682/JRRD.2007.05.0069

Maffiulletti, 2008, Concurrent validity and intrasession relaibility of the IDEEA accelerometry system for the quantification of spatiotemporal gait parameters, Gait Posture, 27, 160, 10.1016/j.gaitpost.2007.01.003

Zhang, 2004, Improving energy expenditure estimation for physical activity, Med Sci Sports Exerc, 36, 883, 10.1249/01.MSS.0000126585.40962.22

Huddleston, 2006, Ambulatory measurement of knee motion and physical activity: preliminary evaluation of a smart activity monitor, J NeuroEng Rehabil, 3

Zhang, 2003, Measurement of human daily physical activity, Obes Res, 11, 33, 10.1038/oby.2003.7

Welk, 2007, Field validation of the MTI Actigraph and BodyMedia Armband Monitor Using the IDEEA Monitor, Obesity, 15, 918, 10.1038/oby.2007.624

Hester, 2006, Using wearable sensors to measure motor abilities following stroke

Veltink, 1995, Towards a new method for kinematic quantification of bradykinesia in patients with Parkinson's disease using triaxial accelerometry

Sanchez, 2007, Patterns and correlates of physical activity and nutrition behaviors in adolescents, Am J Prev Med, 32, 124, 10.1016/j.amepre.2006.10.012

Klein, 2007, Physical activity and cortisol in Anorexia Nervosa, Psychoneuroendocrinology, 32, 539, 10.1016/j.psyneuen.2007.03.007

Boulos, 2007, CAALYX: a new generation of location-based services in healthcare, Int J Health Geogr, 6

Misita, 2006