App-Based Bradykinesia Tasks for Clinic and Home Assessment in Parkinson’s Disease: Reliability and Responsiveness

Abstract

The tablet-based app demonstrated higher reliability and responsiveness in capturing bradykinesia-related tasks in the clinic and at home than did clinician ratings. This tool may enhance the assessment of novel therapies.

CLOVER-DBS: Algorithm-Guided Deep Brain Stimulation-Programming Based on External Sensor Feedback Evaluated in a Prospective, Randomized, Crossover, Double-Blind, Two-Center Study

“…Previous studies using the same motion sensor system used in this study state a better test-retest reliability and sensitivity to changes in bradykinesia in DBS-patients compared to clinical rating [26,27], which has been a rationale for using sensor measurements as main feedback for algorithmic programming. The model derived from our dataset suggests that AgP is mostly effective in patients, who show strong clinical treatment effects.…”

Telemedicine in Neurological Disorders: Opportunities and Challenges

“…Recent advances in wearable motion sensors allowed doctors to assess some of the most disabling physical symptoms of PD via videoconferencing platforms. 46 While sensors may also assist the remote monitoring of PD and eliminate physicians' subjectivity in motor symptom evaluation, 80,101 their implementation into PD patients' home environment remains to be explored. In this regard, an innovative platform for continuous effective assessment and monitoring of motor status in PD and other neurodegenerative diseases has been recently developed to assess symptoms such as bradykinesia, hypokinesia, resting tremor, rigidity, and postural instability along with information provided by patients such as diet and adherence to medications.…”

Use of telemedicine in managing deep brain stimulation for movement disorders

“…Also this telemedicine software could be used in other situations such as spinal cord stimulators or vagal nerve stimulators, or even other devices such as pacemakers, and to collect different types of data such as impedances. Also as ‘wearables’ such as watches with movement sensors, become increasingly common, monitoring of clinical symptoms may also be possible with accelerometers to assess tremor and other variables of movement disorders 10 11…”