SBIR/STTR Research Award

ParkinTune: Automated PD Motor Symptom Assessment for DBS Programming

Award identifier 6da0c3c27802d8a0004376bf44db966f640d8a3897d21d01e4d65d45e42f39f8Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$245,605

Program and phase

SBIR · Phase I

Award year

2008

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
CLEVELAND MEDICAL DEVICES, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
LKM3SMX1MMM5
Solicitation number
PHS2007-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): The objective is to design, build, and clinically assess ParkinTune , an advanced wireless movement disorder monitor technology to augment stimulation programming (tuning) involved in deep brain stimulation (DBS) proce dures for Parkinson's Disease (PD). Major PD symptoms that affect quality of life include tremor, bradykinesia, and rigidity. While the exact mechanism that fuels DBS clinical success stories remains unclear, the procedure has been shown to effectively rel ieve PD motor symptoms when medication is no longer effective. However, clinicians lack tools that combine physiological, electrical, and behavioral data to optimize electrode placement and stimulator programming. Optimizing electrode placement and stimula tor parameters improves the amount of motor symptom reduction patients receive and minimizes complications. The current standard in evaluating symptoms is the Unified Parkinson's Disease Rating Scale (UPDRS), a qualitative ranking system. A battery of exer cises, typically a subset of the upper extremity motor section of the UPDRS, is normally completed during DBS electrode placement surgery and subsequent programming sessions to evaluate performance while a clinician qualitatively assesses symptoms. CleveMe d has previously developed a compact wireless system to quantify movement disorder symptoms called ParkinSense . This previously existing technology will serve as the hardware platform for this proposed program. While previous work has shown excellent resu lts to objectively quantify symptoms during a clinical exam, this proposed project will integrate several new features for real-time assistance with DBS surgery electrode placement and stimulation programming. The clinically deployable ParkinTune system re sulting from this proposed Fast-Track application will provide a compact wireless system for use in the operating room and outpatient follow up programming sessions that maximizes patient safety and comfort. The objective biokinetic data transmitted during electrode placement and subsequent programming will be input to algorithms that output a continuous scale of objective PD symptom severity in real-time to guide clinician decision making. The improved resolution and repeatable results of the ParkinTune sy stem should reduce time and costs of DBS procedures as well as optimize patient outcomes. PUBLIC HEALTH RELEVANCE. While the exact mechanism that fuels deep brain stimulation clinical success stories remains unclear, the procedure effectively relieves Par kinson's disease motor symptoms when medication is no longer effective. However, clinicians lack tools that combine physiological, electrical, and behavioral data to optimize electrode placement and stimulator programming. ParkinTune , a repeatable, automa ted tool that can quantify motor symptoms will assist stimulation programming during surgical electrode placement and outpatient follow up to optimize patient outcomes and reduce associated time and costs.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

104 SBIR/STTR records share this UEI (1992–2016). Reported award amounts total $44,360,204. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, Department of Defense, National Science Foundation, Department of Education

Agency intelligence

Department of Health and Human Services

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