Assistive Technology Enabling Communication

Award Information
Agency: Department of Health and Human Services
Branch: N/A
Contract: 90BISA0005
Agency Tracking Number: BISA17000030
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: n/a
Solicitation Number: HHS-2017-ACL-NIDILRR-BISA-0194
Timeline
Solicitation Year: 2017
Award Year: 2018
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
258 Harvard St, Suite 312, Brookline, MA, 02446-2904
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dexter Ang
 (617) 520-4815
 dexter@pisontechnology.com
Business Contact
 Richard Horgan
Phone: (607) 215-6401
Email: rich@pisontechnology.com
Research Institution
N/A
Abstract
This project furthers development of an effective early-stage assistive communication device for patients with Amyotrophic Lateral Sclerosis (ALS). The wearable assistive communication device uses electromyography (EMG) signals to empower users with ALS and other neuromuscular disabilities to control household devices (e.g. computers) and communicate within their environment. Increasing the capability for interaction between the ALS patient and caregivers and clinical team members enables a dynamic, multidisciplinary care environment. This in turn thoroughly addresses the changing needs of an ALS patient. Specifically, this project measures the ability to reliably capture surface electromyography signals from users with neuromuscular disabilities, determines best practices for storing such data, and measures user acceptability of the device. The data provides physicians with the opportunity to track patient EMG signals over time and to gain a deeper understanding of the changes in muscular ability. Additionally, the human research study acquires a more relevant data set as the study group incorporates participants with and without neuromuscular disabilities. Neurologists will provide insight into the best representation of this EMG and muscular tracking data as well. This ensures the patient data is accurately represented and easily accessible to clinical representatives.

* Information listed above is at the time of submission. *

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