Advances in wearable technology and its medical applications

The concept of monitoring individuals in the home and community settings was introduced more than 50 years ago, when Holter monitoring was proposed (in the late 1940s) and later adopted (in the 1960s) as a clinical tool. However, technologies to fully enable such vision were lacking and only sporadic and rather obtrusive monitoring techniques were available for several decades. Over the past decade, we have witnessed a great deal of progress in the field of wearable sensors and systems. Advances in this field have finally provided the tools to implement and deploy technology with the capabilities required by researchers in the field of patients' home monitoring. These technologies provide the tools to achieve early diagnosis of diseases such as congestive heart failure, prevention of chronic conditions such as diabetes, improved clinical management of neurodegenerative conditions such as Parkinson's disease, and the ability to promptly respond to emergency situations such as seizures in patients with epilepsy and cardiac arrest in subjects undergoing cardiovascular monitoring. Current research efforts are focused on the development of systems enabling clinical applications. The current focus on developing and deploying wearable systems targeting specific clinical applications has the potential of leading to clinical adoption within the next five to ten years.

[1]  Sundaresan Jayaraman,et al.  e-Health and quality of life: the role of the Wearable Motherboard. , 2004, Studies in health technology and informatics.

[2]  P. Binkley Predicting the potential of wearable technology , 2003 .

[3]  Assim Sagahyroon,et al.  Design and implementation of a wearable healthcare monitoring system , 2009, Int. J. Electron. Heal..

[4]  Yuan-Ting Zhang,et al.  Wearable Medical Systems for p-Health , 2008, IEEE Reviews in Biomedical Engineering.

[5]  P. Veltink,et al.  Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[6]  S Park,et al.  The Wearable Motherboard: a flexible information infrastructure or sensate liner for medical applications. , 1999, Studies in health technology and informatics.

[7]  H. Harry Asada,et al.  Artifact-resistant power-efficient design of finger-ring plethysmographic sensors , 2001, IEEE Transactions on Biomedical Engineering.

[8]  Stan C A M Gielen,et al.  Ambulatory motor assessment in Parkinson's disease , 2006, Movement disorders : official journal of the Movement Disorder Society.

[9]  Lei Wang,et al.  Multichannel Reflective PPG Earpiece Sensor With Passive Motion Cancellation , 2007, IEEE Transactions on Biomedical Circuits and Systems.

[10]  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.

[11]  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.

[12]  Philip F Binkley The next era of examination and management of the patient with cardiovascular disease. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[13]  Dario Salvi,et al.  Wearable and Mobile System to Manage Remotely Heart Failure , 2009, IEEE Transactions on Information Technology in Biomedicine.

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

[15]  Steffen Leonhardt,et al.  In-Ear Vital Signs Monitoring Using a Novel Microoptic Reflective Sensor , 2009, IEEE Transactions on Information Technology in Biomedicine.

[16]  P. Bonato,et al.  Wearable sensors/systems and their impact on biomedical engineering , 2003, IEEE Engineering in Medicine and Biology Magazine.

[17]  H. Kayyali,et al.  Remotely attended home monitoring of sleep disorders. , 2008, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[18]  Paolo Bonato,et al.  Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors , 2009, IEEE Transactions on Information Technology in Biomedicine.

[19]  J Dichgans,et al.  Reliability, specificity and sensitivity of long-term tremor recordings. , 1995, Electroencephalography and clinical neurophysiology.

[20]  J. Ghika,et al.  Portable system for quantifying motor abnormalities in Parkinson's disease , 1993, IEEE Transactions on Biomedical Engineering.

[21]  S. K. Srivatsa,et al.  Design of wearable cardiac telemedicine system , 2007, Int. J. Electron. Heal..

[22]  C. Gielen,et al.  Detection and assessment of the severity of Levodopa‐induced dyskinesia in patients with Parkinson's disease by neural networks , 2000, Movement disorders : official journal of the Movement Disorder Society.

[23]  Aleksandar Milenkovic,et al.  Journal of Neuroengineering and Rehabilitation Open Access a Wireless Body Area Network of Intelligent Motion Sensors for Computer Assisted Physical Rehabilitation , 2005 .

[24]  Paul Lukowicz,et al.  AMON: a wearable multiparameter medical monitoring and alert system , 2004, IEEE Transactions on Information Technology in Biomedicine.

[25]  Shyamal Patel,et al.  Mercury: a wearable sensor network platform for high-fidelity motion analysis , 2009, SenSys '09.

[26]  D. Giansanti,et al.  An experience of health technology assessment in new models of care for subjects with Parkinson's disease by means of a new wearable device. , 2008, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[27]  K. Patrick,et al.  Health and the mobile phone. , 2008, American journal of preventive medicine.