Abstract
Parkinson’s disease is a growing medical concern as societies, such as the United States of America, become progressively aged. Therapy strategies exist for the amelioration of Parkinson’s disease symptoms, and the quantification of attributes, such as hand tremor, can provide valuable feedback. Wearable and wireless accelerometer systems for monitoring Parkinson’s disease patients have been progressively advanced over the course of the past half-decade. In particular, wireless accelerometer nodes and smartphones, such as the iPhone, hold promise for optimizing therapy strategy by providing convenient quantified feedback. This perspective review addresses the current advances in wearable and wireless accelerometer systems for monitoring Parkinson’s disease patients and forecasts for the near future.
Highlights
Parkinson’s disease generally manifests in people aged 55 years and older [1]
With the growing prevalence of Parkinson’s disease, wearable wireless applications may ameliorate strain on limited medical resources while improving patient quality of care
Future advances in software technology and hardware miniaturization are anticipated to be critical for the evolution of wireless accelerometers for quantifying Parkinson’s disease attributes, such as tremor
Summary
Parkinson’s disease generally manifests in people aged 55 years and older [1]. For societies that are aging, Parkinson’s disease is an increasing medical concern. With the growing prevalence of Parkinson’s disease, wearable wireless applications may ameliorate strain on limited medical resources while improving patient quality of care. Over the recent half-decade, wireless accelerometer applications have been advocated and successfully tested and evaluated [3,4,5,6,7]. A patient’s quantified data, such as Parkinson’s disease tremor, can provide critical diagnostic insight for the optimization of patient-specific therapy, thereby improving quality of life [8]. The following perspective review addresses the advances in wearable and wireless accelerometer systems for Parkinson’s disease over the course of the recent half-decade with implications regarding future advances
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