Remote dynamic cycling for the customized off-site rehab in Parkinson’s disease.
Remote dynamic cycling for the customized off-site rehab in Parkinson’s disease.
批准号:
10424644
负责人:
Aasef G Shaikh
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-04-01 至 2026-03-31
关键词:
AffectAreaArtificial IntelligenceCaringClinicClinic VisitsClinicalCognitionCognitiveCommunitiesCustomDataDevelopmentDevicesDopamineDoseEquilibriumExerciseExercise TherapyFeedbackFutureGoalsGroup HomesHealth Insurance Portability and Accountability ActHealth PersonnelHomeHourIndependent LivingIndividualInterventionLaboratoriesLevodopaLocationLogisticsLongterm Follow-upMeasuresMental DepressionMonitorMotorMovement Disorder Society Unified Parkinson&aposs Disease Rating ScaleMovement DisordersNerve DegenerationNursing HomesOhioOutcomeOutcome MeasureOutpatientsParkinson DiseaseParticipantPatientsPerformancePersonsPharmaceutical PreparationsPhaseProgressive DiseaseQuality of lifeRegimenRehabilitation therapyResearchResourcesSafetyScheduleSecureSelf-DirectionSiteSocial supportSpeedStrategic PlanningSymptomsSystemTechniquesTechnologyTestingTimeTorqueTravelVeteransVisionVisitartificial intelligence algorithmawakebasecost effectivecost effectivenessdata exchangeeffectiveness testingefficacy evaluationefficacy testingexercise regimenexperiencefrailtyfunctional declinefunctional improvementindividualized medicineinstrumentmotor deficitmotor function improvementmotor symptomnoveloperationpandemic diseaseparticipant safetypost interventionprogramsprovider interventionremote assessmentremote deliveryremote health careremote monitoringresponsesafety supervisionsensortherapy outcomeuser-friendlyvirtualwearable devicewearable sensor technologywireless sensor
中文摘要
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英文摘要
Parkinson’s disease (PD) progressively deteriorates motor function. Successful rehabilitation, leading to a
favorable course of movement disorders in PD, is contingent upon frequent, regular, and patient-specific exercise
regimen that is customized to the individual needs. Latter requires regular interventions from the provider and
frequent visits to the rehab facility. Lack of access, poor social support, inability to travel, home-bound status, or
pandemics are significant hurdles in delivering effective rehab to the PD patients. Our vision is to offer
customized and cost-effective PD rehab using a remotely operated technology near or at the patients’ homes.
This technology would be remotely monitored and customized online to titrate therapeutic outcomes optimized
for each patient. The proof of this concept was already established in our laboratory, a technology called dynamic
cycling. The highlight of this technology is a stationary bike operating at a rapid speed (cadence) with
programmable variability in speed and power/torque hence promoting motor performance superior to traditional
motorized bikes (i.e. static cycling). The next step towards our ultimate vision of at-home exercise therapy is
remotely operated dynamic bike. We have already built remotely operated dynamic bike; the current proposal
will objectively examine the efficacy of a novel, remotely delivered and remotely adjusted dynamic cycling
paradigm using remotely monitored motor outcomes. Comparison will be made with remote static cycling. The
study will be launched at three community based wellness locations to assure the subject safety, ease of access,
compliance, and as needed support. Aim 1 will examine the hypothesis that dynamic cycling will immediately
improve the motor function in PD. The effects will be prominent on the dopamine-sensitive motor deficits. The
repetition will enhance motor improvement. The participants will use wearable sensors for the remote
assessments of motor symptoms in PD before and immediately after each exercise session. The information
from the wearable sensors and the bike will be utilized to further adjust the bike parameters for the next dynamic
cycling session. We will also measure effects on subjective ratings of motor function, cognition and balance
before, and at 0, 3, and 6 months after the cycling intervention. Aim 2 will analyze the effects of dynamic cycling
on motor fluctuations, declining response to levodopa in an early and unpredictable manner significantly affecting
the quality of life in the PD. We hypothesize that dynamic cycling will reduce the motor fluctuations in PD. The
efficacy of dynamic cycling on improvement in motor fluctuation over a 12-hour awake period will be measured
every day with the wearable sensors that communicate via secure cloud. The immediate clinical impact is that
the technology will be immediately deployed to the Veteran’s group homes, nursing homes, and community
based VA clinics. The project will provide sufficient information to carry our ultimate vision, at-home dynamic
cycling serving three critical needs: 1) customized therapy, 2) easy access, and 3) safety and cost-effectiveness.
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