2018
DOI: 10.2196/rehab.8335
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A Kinematic Sensor and Algorithm to Detect Motor Fluctuations in Parkinson Disease: Validation Study Under Real Conditions of Use

Abstract: BackgroundA new algorithm has been developed, which combines information on gait bradykinesia and dyskinesia provided by a single kinematic sensor located on the waist of Parkinson disease (PD) patients to detect motor fluctuations (On- and Off-periods).ObjectiveThe goal of this study was to analyze the accuracy of this algorithm under real conditions of use.MethodsThis validation study of a motor-fluctuation detection algorithm was conducted on a sample of 23 patients with advanced PD. Patients were asked to … Show more

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Cited by 47 publications
(65 citation statements)
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“…Often combined with other motor outcomes such as dyskinesia or gait, eight studies investigated the ability of technology to measure bradykinesia/akinesia in their participants [42,52,[54][55][56][80][81][82]. All the research groups used wearable devices to measure bradykinesia/akinesia: four used single devices whereas four used multiple wearable devices.…”
Section: Bradykinesiamentioning
confidence: 99%
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“…Often combined with other motor outcomes such as dyskinesia or gait, eight studies investigated the ability of technology to measure bradykinesia/akinesia in their participants [42,52,[54][55][56][80][81][82]. All the research groups used wearable devices to measure bradykinesia/akinesia: four used single devices whereas four used multiple wearable devices.…”
Section: Bradykinesiamentioning
confidence: 99%
“…All of the devices employed to measure bradykinesia/akinesia contained accelerometers, with gyroscopes also in four devices [52,54,55,80] and a gyroscope/magnetometer within one [56]. Validation was attempted through the use of videotape [55,56], comparison with the UPDRS [42,52], the use of telephone calls from researchers and comparison with participant study diaries [82]. Clinimetric properties were evaluated in six studies, and included measurements of accuracy [52,55,81,82] and agreement (Pastorino et al [80] documented good correspondence of 88.2% between technological outcomes and participant diaries).…”
Section: Bradykinesiamentioning
confidence: 99%
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