Blog Archives

Quantitative Analysis Of Gait And Balance Response To Deep Brain Stimulation In Parkinson’s Disease

T. Mera, D. Filipkowski, D. Riley, C. Whitney, B. Walter, S. Gunzler, J. Giuffrida Gait & Posture. 2013 May;38(1):109-14


PRESS RELEASE: Great Lakes NeuroTechnologies Launches Study to Develop Intelligent Algorithms for Programming Deep Brain Stimulation in Parkinson’s

VIEW PRESS RELEASE [PDF] 22 JAN 2013: Valley View, OH – Great Lakes NeuroTechnologies (GLNT) announced today that they are launching a study to determine the feasibility of using intelligent algorithms to assist with programming deep brain stimulation settings for Parkinson’s disease.   The study is being funded by a $283,828

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PRESS RELEASE: Great Lakes NeuroTechnologies’ Kinesia Technology Receives TGA Approval for Parkinson’s Assessment in Australia

VIEW PRESS RELEASE [PDF] 9 JAN 2013: Valley View, OH – Great Lakes NeuroTechnologies announced today that they received TGA approval to market Kinesia technology in Australia. The Kinesia™ product line [ http://glneurotech.com/kinesia/ ] includes patient-worn motion sensors and a tablet computer to quantitatively assess tremor, bradykinesia, and dyskinesia associated

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PRESS RELEASE: GLNT Receives $1.5 Million to Further Technology for Assessing Bradykinesia Response to Novel Therapies in Parkinson’s Disease

VIEW PRESS RELEASE [PDF] 08 AUG 2012: Valley View, OH – Great Lakes NeuroTechnologies [ http://www.glneurotech.com ] announced today that they have received $1.5 million in funding to commercialize a technology for Parkinson’s disease (PD) patients that will better assess motor symptoms in response to new deep brain stimulation (DBS)

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PRESS RELEASE: GLNT Launches Parkinson’s Technology In Europe For Quantitative Assessments In Telemedicine

VIEW PRESS RELEASE [PDF] 13 JUN 2012: Valley View, OH – Great Lakes NeuroTechnologies announced today that they are launching the latest version of their medical device technology for assessing Parkinson’s disease next week at the Movement Disorders Society Congress in Dublin, Ireland.  The Kinesia HomeView™ [ http://glneurotech.com/kinesia/homeview/  ] system

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PRESS RELEASE: GLNT Secures Over $4.5 Million in Funding to Fuel New Product Development for Parkinson’s Disease and Neuroscience Education

VIEW PRESS RELEASE [PDF] April 24, 2012: Valley View, OH – Great Lakes NeuroTechnologies announced today they have secured over $4.5 million is funding for new product development. The funding includes three new projects sponsored by the National Institutes of Health’s SBIR program. Each project is focused on developing and

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PRESS RELEASE: GLNT Begins Clinical Study to Demonstrate High Sensitivity Motor Symptom Detection in Parkinson’s Disease

VIEW PRESS RELEASE [PDF] March 23, 2012: Valley View, OH – Great Lakes NeuroTechnologies announced today that they have begun a clinical study to assess the sensitivity of their Kinesia system to detect subtle motor function changes in patients with Parkinson’s disease (PD). The study, funded by the National Institutes

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PRESS RELEASE: GLNT Awarded Patent for Technology to Assess Parkinson’s Disease

VIEW PRESS RELEASE [PDF] 8MAR2012: Valley View, OH – Great Lakes NeuroTechnologies announced today that they have received allowance of claims from the U.S. Patent Office for an application covering their Movement Disorder Monitoring System and Method for quantitative assessment of motor symptoms associated with movement disorders. The claims cover

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PRESS RELEASE: Great Lakes NeuroTechnologies’ KinetiSense technology used in Parkinson’s disease gait and balance study

VIEW PRESS RELEASE [PDF] Cleveland, OH – August 15, 2011 – Great Lakes NeuroTechnologies’ KinetiSense motion sensor technology was used in a clinical study to capture and quantify the effect of Deep Brain Stimulation (DBS) on gait and balance impairment in Parkinson’s disease (PD). DBS surgery is typically performed when

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Kinematic Optimization of Deep Brain Stimulation Across Multiple Motor Symptoms in Parkinson’s Disease

T. Mera, J. Vitek, J. Alberts, J. Giuffrida J Neurosci Methods. 2011 Jun 15;198(2):280-6