Advances in wearable technology and applications in physical medicine and rehabilitation

The development of miniature sensors that can be unobtrusively attached to the body or can be part of clothing items, such as sensing elements embedded in the fabric of garments, have opened countless possibilities of monitoring patients in the field over extended periods of time. This is of particular relevance to the practice of physical medicine and rehabilitation. Wearable technology addresses a major question in the management of patients undergoing rehabilitation, i.e. have clinical interventions a significant impact on the real life of patients? Wearable technology allows clinicians to gather data where it matters the most to answer this question, i.e. the home and community settings. Direct observations concerning the impact of clinical interventions on mobility, level of independence, and quality of life can be performed by means of wearable systems. Researchers have focused on three main areas of work to develop tools of clinical interest: 1)the design and implementation of sensors that are minimally obtrusive and reliably record movement or physiological signals, 2)the development of systems that unobtrusively gather data from multiple wearable sensors and deliver this information to clinicians in the way that is most appropriate for each application, and 3)the design and implementation of algorithms to extract clinically relevant information from data recorded using wearable technology. Journal of NeuroEngineering and Rehabilitation has devoted a series of articles to this topic with the objective of offering a description of the state of the art in this research field and pointing to emerging applications that are relevant to the clinical practice in physical medicine and rehabilitation.

[1]  P. Veltink,et al.  Estimating orientation with gyroscopes and accelerometers. , 1999, Technology and health care : official journal of the European Society for Engineering and Medicine.

[2]  J. Bussmann,et al.  Ambulatory measurement of upper limb usage and mobility-related activities during normal daily life with an upper limb-activity monitor: A feasibility study , 2002, Medical and Biological Engineering and Computing.

[3]  D De Rossi,et al.  Artificial kinesthetic systems for telerehabilitation. , 2004, Studies in health technology and informatics.

[4]  Joel Stein,et al.  Wearable sensor technology for functional assessment after stroke. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[5]  B. Andrews,et al.  Detecting absolute human knee angle and angular velocity using accelerometers and rate gyroscopes , 2001, Medical and Biological Engineering and Computing.

[6]  Lucila Ohno-Machado,et al.  Classification of Movement States in Parkinson's Disease Using a Wearable Ambulatory Monitor , 2003, AMIA.

[7]  H J Busser,et al.  Method for objective assessment of physical work load at the workplace. , 1998, Ergonomics.

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

[9]  E. Finch Physical rehabilitation outcome measures : a guide to enhanced clinical decision making , 2002 .

[10]  M. Moy,et al.  Ambulatory monitoring of cumulative free-living activity , 2003, IEEE Engineering in Medicine and Biology Magazine.

[11]  J. Bussmann,et al.  Quantification of physical activities by means of ambulatory accelerometry: a validation study. , 1998, Psychophysiology.

[12]  S. Gielen,et al.  Online monitoring of dyskinesia in patients with Parkinson's disease , 2003, IEEE Engineering in Medicine and Biology Magazine.

[13]  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.

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

[15]  P. Bonato,et al.  Data mining techniques to detect motor fluctuations in Parkinson's disease , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  D.M. Sherrill,et al.  A neural network approach to monitor motor activities , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[17]  M Akay,et al.  Unconstrained monitoring of body motion during walking. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[18]  Aurelio Cappozzo,et al.  Is it feasible to reconstruct body segment 3-D position and orientation using accelerometric data? , 2003, IEEE Transactions on Biomedical Engineering.

[19]  W. Zijlstra,et al.  Estimation of hip abduction moment based on body fixed sensors. , 2004, Clinical biomechanics.

[20]  W. Frontera The importance of technology in rehabilitation. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[21]  S. Gielen,et al.  Automatic assessment of levodopa‐induced dyskinesias in daily life by neural networks , 2003, Movement disorders : official journal of the Movement Disorder Society.

[22]  M. Topping,et al.  Dynamically responsive intervention for tremor suppression , 2003, IEEE Engineering in Medicine and Biology Magazine.

[23]  David G Standaert Wearable technology's applications in Parkinson's disease. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[24]  B. Kemp,et al.  Body position can be monitored in 3D using miniature accelerometers and earth-magnetic field sensors. , 1998, Electroencephalography and clinical neurophysiology.

[25]  Hugh Herr,et al.  User-adaptive control of a magnetorheological prosthetic knee , 2003, Ind. Robot.