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A Software Platform for Sensor-based Movement Disorder Recognition

Award Number: R44NS083098
ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/30/2015
PERIOD OF PERFORMANCE END DATE: 08/31/2018

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A Software Platform for Sensor-based Movement Disorder Recognition - ¿ DESCRIPTION (provided by applicant): The goal of this Phase II is to enhance the availability of advanced brain and behavior research tools [PA-14-250] by developing an automated sensor-based means of tracking the presence and severity of a broad spectrum of movement disorders during unscripted activities of daily living. The continuously updated and interpreted information from body-worn sensors will provide accurate, objective, and high resolution (1 s.) measurement of motor symptom severity of tremor, dyskinesia, bradykinesia, freezing and gait disorders in Parkinson's disease and postural/kinetic tremor in essential tremor. It will allow researchers to assess the oftentimes complex and dynamic nature of movement disorders, which is poorly captured by the current standard of self-reports and pencil-and-paper instruments. Advances in wearable sensor technology have facilitated such a solution, but there are currently no movement disorder recognition devices capable of interpreting sensor data from non- scripted activity in an effective manner for the more than 45 million people in the U.S. with movement disorders. Our approach is unique in that we are developing a generic Application Generator (AG) software platform containing signal processing modules that can be readily configured to provide automated recognition for different disorders without the need to prepare separate algorithms from scratch for each. Phase I established a proof of concept by developing a rudimentary AG platform that achieved automatic recognition of tremor, dyskinesia and freezing-of-gait in patients with Parkinson's disease (PD) from novel hybrid sensors that provided both muscle activity and movement data through surface electromyographic (sEMG) and accelerometer recordings. Phase II will continue the development to include a broader range of PD movement disorders, as well as other neurological conditions. Aim 1 will create an enhanced AG Platform by incorporating combined sEMG and inertial measurement unit (IMU) sensors to more completely describe involuntary movements and reduce the risk when tracking additional disorders. Human subject testing will provide a sensor database for testing IMU sensor accuracy and minimizing soft tissue artifacts. The Phase I recognition algorithms will be updated using the enhanced platform. Aim 2 will use the enhanced platform to develop new recognition applications that track bradykinesia and gait disorders in PD, and postural and kinetic tremors in patients with essential tremor. Our goal is to achieve error rates < 5% during unconstrained monitoring conditions with user- independent algorithms. Aim 3 will deliver a portable pre-commercial device with the requisite hardware, software, user interface, and report generator to effectively monitor PD, essential tremor, and sitting/standing/walking activity. The system will collect and process sEMG/IMU data using a tablet PC to enhance usability. Movement disorder experts and prospective end-users will guide the Phase II development and assist us with future commercialization plans for other neurological conditions such as cerebral palsy, dystonia, ALS, and restless leg syndrome. It will also form the basis for a patient-operable device for clinical use.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2022 ( Subtotal = $1 )
2022	2017	ALTEC INC	23 STRATHMORE RD	NATICK	MA	01760	MIDDLESEX	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	5	9/26/2022	NON-COMPETING CONTINUATION	$1
														Subtotal = $1

Issue Date FY: 2019 ( Subtotal = -$1 )
2019	2017	ALTEC INC	23 STRATHMORE RD.	NATICK	MA	01760	MIDDLESEX	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	5	2/17/2019	NON-COMPETING CONTINUATION	-$1
2019	2017	ALTEC INC	23 STRATHMORE RD.	NATICK	MA	01760	MIDDLESEX	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	5	12/18/2018	NON-COMPETING CONTINUATION	$0
														Subtotal = -$1

Issue Date FY: 2017 ( Subtotal = $566,524 )
2017	2017	ALTEC INC	23 STRATHMORE RD.	NATICK	MA	01760	MIDDLESEX	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	5	7/25/2017	NON-COMPETING CONTINUATION	$566,524
														Subtotal = $566,524

Issue Date FY: 2016 ( Subtotal = $565,326 )
2016	2016	ALTEC, INC	POST OFFICE BOX 15622	BOSTON	MA	02215	SUFFOLK	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	4	7/27/2016	NON-COMPETING CONTINUATION	$565,326
														Subtotal = $565,326

Issue Date FY: 2015 ( Subtotal = $574,937 )
2015	2015	ALTEC, INC	POST OFFICE BOX 15622	BOSTON	MA	02215	SUFFOLK	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	3	9/18/2015	COMPETING CONTINUATION	$574,937
														Subtotal = $574,937

Grand Total All Awards = $1,706,787

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A Software Platform for Sensor-based Movement Disorder Recognition

Award Number: R44NS083098

ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/30/2015

PERIOD OF PERFORMANCE END DATE: 08/31/2018

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