Literature DB >> 15132305

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

Merryn J Mathie1, Adelle C F Coster, Nigel H Lovell, Branko G Celler.   

Abstract

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.

Entities:  

Mesh:

Year:  2004        PMID: 15132305     DOI: 10.1088/0967-3334/25/2/r01

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  111 in total

1.  A novel device for continuous monitoring of tremor and other motor symptoms.

Authors:  Luigi Battista; Antonietta Romaniello
Journal:  Neurol Sci       Date:  2018-05-07       Impact factor: 3.307

2.  Analysis and decomposition of accelerometric signals of trunk and thigh obtained during the sit-to-stand movement.

Authors:  W G M Janssen; J B J Bussmann; H L D Horemans; H J Stam
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

3.  Classification of basic daily movements using a triaxial accelerometer.

Authors:  M J Mathie; B G Celler; N H Lovell; A C F Coster
Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

4.  The validation of a novel activity monitor in the measurement of posture and motion during everyday activities.

Authors:  P M Grant; C G Ryan; W W Tigbe; M H Granat
Journal:  Br J Sports Med       Date:  2006-09-15       Impact factor: 13.800

Review 5.  The impact of physical training on locomotor function in older people.

Authors:  Omar S Mian; Vasilios Baltzopoulos; Alberto E Minetti; Marco V Narici
Journal:  Sports Med       Date:  2007       Impact factor: 11.136

6.  Hand, belt, pocket or bag: Practical activity tracking with mobile phones.

Authors:  Stephen A Antos; Mark V Albert; Konrad P Kording
Journal:  J Neurosci Methods       Date:  2013-10-01       Impact factor: 2.390

7.  Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer.

Authors:  Whitney A Welch; David R Bassett; Dixie L Thompson; Patty S Freedson; John W Staudenmayer; Dinesh John; Jeremy A Steeves; Scott A Conger; Tyrone Ceaser; Cheryl A Howe; Jeffer E Sasaki; Eugene C Fitzhugh
Journal:  Med Sci Sports Exerc       Date:  2013-10       Impact factor: 5.411

Review 8.  Considerations for development of sensing and monitoring tools to facilitate treatment and care of persons with lower-limb loss: a review.

Authors:  Brian J Hafner; Joan E Sanders
Journal:  J Rehabil Res Dev       Date:  2014

9.  A combined sEMG and accelerometer system for monitoring functional activity in stroke.

Authors:  Serge H Roy; M Samuel Cheng; Shey-Sheen Chang; John Moore; Gianluca De Luca; S Hamid Nawab; Carlo J De Luca
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-12       Impact factor: 3.802

10.  A fall and near-fall assessment and evaluation system.

Authors:  Anh Dinh; Yang Shi; Daniel Teng; Amitoz Ralhan; Li Chen; Vanina Dal Bello-Haas; Jenny Basran; Seok-Bum Ko; Carl McCrowsky
Journal:  Open Biomed Eng J       Date:  2009-01-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.