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User-driven Retrospectively Supervised Classification Updating (RESCU) system for robust upper limb prosthesis control

Award Number: U44NS108894
ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
OPDIV: NIH
AWARD CLASS: COOPERATIVE AGREEMENT
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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User-driven Retrospectively Supervised Classification Updating (RESCU) system for robust upper limb prosthesis control - ABSTRACT Approximately 41,000 individuals live with upper-limb loss (loss of at least one hand) in the US. Fortunately, prosthetic devices have advanced considerably in the past decades with the development of dexterous, anthropomorphic hands. However, potentially the most promising used control strategy, myoelectric control, lacks a correspondingly high-level of performance and hence the use of dexterous hands remains highly limited. The need for a complete overhaul in upper limb prosthesis control is well highlighted by the abandonment rates of myoelectric devices, which can reach up to 40% in the case of trans-humeral amputees. The area of research that has received the most focus over the past decade has been “pattern recognition,” which is a signal processing based control method that uses multi-channel surface electromyography as the control input. While pattern recognition provides intuitive operation of multiple prosthetic degrees of freedom, it lacks robustness and requires frequent, often daily calibration. Thus, it has not yet achieved the desired clinical acceptance. Our team proposes clinical translation of a novel highly adaptive upper limb prosthesis control system that incorporates two major advances: 1) machine learning (robust classification by implementing a non-boundary based algorithm), and 2) training by retrospectively incorporating user data from activities of daily living (ADL). The proposed system will enable machine intelligence with user input for prosthesis control. Our work is organized as follows: Phase I: (a) First, we will implement a fundamentally new machine intelligence technique, Extreme Learning Machine with Adaptive Sparse Representation Classification (EASRC), that is more resilient to untrained noisy conditions that users may encounter in the real-world and requires less data than traditional myoelectric signal processing. (b) In parallel, we will implement an adaptive learning algorithm, Nessa, which allows users to relabel misclassified data recorded during use and then update the EASRC classifier to adapt to any major extrinsic or intrinsic changes in the signals. Taken together, EASRC and Nessa comprise the Retrospectively Supervised Classification Updating (RESCU) system. Once, the RESCU implementation is complete, we will optimize the system through a joint effort with Johns Hopkins University, and complete an iterative benchtop RESCU evaluation with a focus group of 3 amputee subjects and their prosthetists. Phase II: Verification and validation of RESCU will be completed, culminating in third-party validation testing and certification. Finally, we will complete a clinical assessment including self-reporting subjective measures, and real-world usage metrics in a long-term clinical study.


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: 2024 ( Subtotal = $0 )
2024	2020	INFINITE BIOMEDICAL TECHNOLOGIES, LLC	8 MARKET PL STE 500	BALTIMORE	MD	21202	BALTIMORE CITY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	3	3/28/2024	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2022 ( Subtotal = $0 )
2022	2020	INFINITE BIOMEDICAL TECHNOLOGIES, LLC	8 MARKET PL STE 500	BALTIMORE	MD	21202	BALTIMORE CITY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	3	9/23/2022	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2021 ( Subtotal = $0 )
2021	2018	INFINITE BIOMEDICAL TECHNOLOGIES, LLC	8 MARKET PL STE 500	BALTIMORE	MD	21202	BALTIMORE CITY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	1	3/25/2021	NEW	$0
														Subtotal = $0

Issue Date FY: 2020 ( Subtotal = $878,199 )
2020	2020	INFINITE BIOMEDICAL TECHNOLOGIES, LLC	8 MARKET PL STE 500	BALTIMORE	MD	21202	BALTIMORE CITY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	002	3	8/26/2020	NON-COMPETING CONTINUATION	$733,298
2020	2020	INFINITE BIOMEDICAL TECHNOLOGIES, LLC	8 MARKET PL STE 500	BALTIMORE	MD	21202	BALTIMORE CITY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	2	4/30/2020	SUPPLEMENT FOR EXPANSION	$64,079
2020	2019	INFINITE BIOMEDICAL TECHNOLOGIES, LLC	8 MARKET PL STE 500	BALTIMORE	MD	21202	BALTIMORE CITY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	2	2/17/2020	EXTENSION WITH OR WITHOUT FUNDS	$80,822
														Subtotal = $878,199

Issue Date FY: 2019 ( Subtotal = $734,028 )
2019	2019	INFINITE BIOMEDICAL TECHNOLOGIES, LLC	8 MARKET PL STE 500	BALTIMORE	MD	21202	BALTIMORE CITY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	2	9/19/2019	EXTENSION WITH OR WITHOUT FUNDS	$654,778
2019	2019	INFINITE BIOMEDICAL TECHNOLOGIES, LLC	8 MARKET PL STE 500	BALTIMORE	MD	21202	BALTIMORE CITY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	1	12/21/2018	SUPPLEMENT FOR EXPANSION	$79,250
														Subtotal = $734,028

Issue Date FY: 2018 ( Subtotal = $216,724 )
2018	2018	INFINITE BIOMEDICAL TECHNOLOGIES, LLC	1101 E 33RD ST STE E305	BALTIMORE	MD	21218	BALTIMORE CITY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	1	9/5/2018	NEW	$216,724
														Subtotal = $216,724

Grand Total All Awards = $1,828,951

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User-driven Retrospectively Supervised Classification Updating (RESCU) system for robust upper limb prosthesis control

Award Number: U44NS108894

ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE

OPDIV: NIH

AWARD CLASS: COOPERATIVE AGREEMENT

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

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