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An unobtrusive monitoring device used for tracking asthma symptoms and lung function variability

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R41HL146027-01A1
Agency Tracking Number: R41HL146027
Amount: $204,205.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: NHLBI
Solicitation Number: PA18-575
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-09-28
Award End Date (Contract End Date): 2020-08-31
Small Business Information
1 SOUTH ST APT 303, Hanover, NH, 03755-2186
DUNS: 081106602
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 JUSTICE AMOH
 (603) 513-8411
 justiceamoh@gmail.com
Business Contact
 JEFFREY BEMOWSKI
Phone: (909) 868-8781
Email: jbemowski09@gmail.com
Research Institution
 DARTMOUTH COLLEGE
 11 ROPE FERRY RD. #6210
HANOVER, NH, 03755-1421
 Nonprofit college or university
Abstract
Project Summary Abstract The applicationandapos s broadlong term objective is to developevaluate and commercialize a device for continuous monitoring of a childandapos s asthma componentssymptomslung function variabilitynighttime awakeningsetcover a few weeksAsthma is the most common pediatric chronic condition in the USIt affectsmillion childrencausesmillion emergency departmentEDvisitsmillion hospitalizations and $billion annually in healthcare costsTo reduce the burden of uncontrolled asthmaNHLBI evidence based guidelines require periodic assessment of the childandapos s asthma risk impairmentand corresponding adjustments to treatmentuntil asthma control has been establishedWhen assessing asthma impairmentpediatricians depend heavily on the self reportwhich is unfortunately unreliableThis leads to underestimation of asthma impairmentundertreatmentand long paths to achieving controlTo efficiently and effectively establish asthma controla wearable device could be used to provide pediatricians an accuraterecent history of asthma componentsCurrentlyno practical solutions exist for weeks long monitoring of symptom frequency and lung function variabilityboth of which are critical components for assesing asthma impairmentVia the following Specific Aimsthis application will use advances in embedded systems and machine learning to develop a smallwearable device for monitoring asthma symptoms that isacceptable to patientsable to robustly detect cough and wheeze symptomsandable to passively measure lung function variabilitySpecific AimTrain and evaluate an algorithm to detect pediatric asthma symptomscough and wheezeon a low powersmall form factor wearable deviceSpecificationssensitivityfalse alarm ratecough epsiode day orwheeze episode dayEvaluate algorithm against medical expertphysicianscoring using the two best available asthma scoring toolsASasthma scorePRAMPediatric Respiratory Assessment MeasureSpecific AimDesign and evaluate algorithm to detect lung function variability on a low powersmall form factor wearable deviceSpecificationsUsing respiratory signals from sensor patchdetect variationsin forced expiratory volume insecond to forced vital capacityFEVFVCEvaluate algorithm against spirometry gold standard Project Narrative Uncontrolled pediatric asthma is a serious public health concernThere are proven therapies and management guidelines to achieve asthma control in most patientsbut poor patient self report of asthma daily symptoms and components has made this an elusive goal in practiceThis project will develop and evaluate a wearable device that provides physicians with an accurate report of their patientandapos s recent asthma symptoms and pulmonary function variability

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

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