Clinically deployable Kinesia™ technology for automated tremor assessment

Abstract

The objective was to design, build, and assess Kinesia, a wireless system for automated assessment of Parkinson's disease (PD) tremor. The current standard in evaluating PD is the Unified Parkinson's Disease Rating Scale (UPDRS), a qualitative ranking system typically completed during an office visit. Kinesia integrates accelerometers and gyroscopes in a compact patient-worn unit to capture kinematic movement disorder features. Objectively quantifying PD manifestations with increased time resolution should aid in evaluating efficacy of treatment protocols and improve patient management. In this study, PD subjects performed the tremor subset of the UPDRS motor section while wearing Kinesia. Quantitative kinematic features were processed and highly correlated to clinician scores for rest tremor (r(2) = 0.89), postural tremor (r(2) = 0.90), and kinetic tremor (r(2) = 0.69). The quantitative features were used to develop a mathematical model that predicted tremor severity scores for new data with low errors. Finally, PD subjects indicated high clinical acceptance.

Body-Worn Sensors in Parkinson's Disease: Evaluating Their Acceptability to Patients

“…23 Our findings suggest that long-term monitoring with body-worn sensors is acceptable to PD patients and that the vast majority of participants were willing to wear the sensor both at home and in public, a critical component of ensuring ecological validity of the recorded data. The only detailed previous work on sensor acceptability in PD 24 showed, in contrast to our findings, a large disparity between participants' willingness to wear sensors at home and in public (94% and 55% yes, respectively). If the wearing of a sensor results in modification of the wearer's behavior, then the ecological validity of the data collected is limited.…”

“…If the wearing of a sensor results in modification of the wearer's behavior, then the ecological validity of the data collected is limited. Critically, Giuffrida et al 24 polled participants' views in the presence of researchers, in a research facility, and did so after participants had only worn the sensors for a short period. It is possible that these factors may have introduced bias, resulting in false reassurance about the sensors' acceptability.…”

Wearable and wireless accelerometer systems for monitoring Parkinson’s disease patients—A perspective review

“…During the same time span, Giuffrida et al assessed Kinesia™, which conveyed motion sensor data wirelessly through a wrist-mounted command module [11]. However, the Kinesia™ device may be prone to having the wire between the command module and sensor becoming dislodged.…”

Research of Upper Limb Biomechanics of Subjects With Parkinson‘s Disease and Essential Tremmor / Sergančiųjų Parkinsono Ir Esencialinio Tremoro Liga Viršutinės Galūnės Biomechanikos Tyrimas

“…Yra sukurta keletas inercinių matavimo sistemų, skirtų ligos vystymosi eigai stebėti, kurios matuoja plaštakos ar ran kos piršto judėjimo pagreitį ir kampinį greitį, siekiant stebėti PL sergančiojo rankos drebėjimą (Ghika et al 1993;Mostile et al 2010;Giuffrida et al 2009;Salarian et al 2007;Goetz et al 2009;Van Someren et al 2006). Tokių sistemų egzistavimas dar kartą įrodo, kad matuojant paciento judesius galima nustatyti ir stebėti PL simptomus.…”