SBIR/STTR Research Award

Advanced Multi-Modal Wearable Sensing for the Prediction of Pre-Term Labor

Award identifier bdf024a3bc950ca6fb0fc88ac7b7b98bbdd7a81482059e5052ce0b5b27302abeAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$224,650

Program and phase

STTR · Phase I

Award year

2019

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Sonica LLC
Proposal award date
2019-09-01
Contract end date
2020-08-31
UEI
PV93CNTGRC46
Solicitation number
PA18-575
Topic code
NICHD

Research abstract

Preterm birthPTBdelivery prior toweeks gestational ageaccounts forof all births and remains the leading cause of neonatal deathThe majority of PTB is preceded by spontaneous preterm laborPTLCurrentlythere is a major unmet need for methods to identify women at risk of PTL and provide an early warning system for potential interventionhome uterine monitoringHUMis one approach that has shown some promise as an early warning system for PTLHowevera critical limitation of HUM relies on bulkyand wired equipmentThusthis system only allowed for transient monitoring in a sedentary stateandlthours per dayFurthermoreolder HUM trials utilized tocodynamometrypressureNewer evidence suggests that electromyographyEMGbased measurements for uterine activity offer superior predictive power and are less influenced by body habitusAlthough continuous measurement of other physiological parameters such as heart rateheart rate variabilitysleep efficiencytemperatureand blood pressure may hold additional predictive value for spontaneous PTL beyond uterine monitoring alonethe predictive ability of the combination of these measures has not been evaluatedThe ability to cost effectivelycomprehensively and continuously measure a variety of physiological parameters in the home settingand relate these parameters to spontaneous PTLremains unexploredIn this proposalwe will modify our existing wirelessultra thinflexibleand miniaturized vital signs monitoring system composed of a time linked chest patchlimb patchand abdominal patchandltmm in thicknessfor home useThe chest unit includes alead ECGheart rateaccelerometerphysical activitysleep qualityrespirationand temperature sensorThe limb patch incorporates a photoplethysmographPPG for SpOTogetherthe chest and limb sensor is able to provide a non invasive continuous measurement of blood pressureBPby calculating pulse arrival timePATLastlythe abdominal patch unit includes an ultra low noise continuous EMG for the continuous sensing of uterine contraction frequencyamplitude and propagation velocityThese sensors can be applied without the presence of a health care professione ganalogous to applying a bandaidWe hypothesize that a low burdenwirelessand wearable monitoring system that allows continuous measurement of multiple physiologic parameters will allow improved and earlier detection of PTL in high risk women Preterm birthPTBdelivery prior toweeks gestational ageaccounts forof all births at a cost of more than $billion USDs annually and remains the leading cause of neonatal deathThe majority of PTB is preceded by spontaneous preterm laborPTLCurrentlythere are limited technologies and tools that can accurately predict PTLWe propose the development of a wirelessand wearable monitoring system that allows continuous measurement of multiple physiologic parameters that will allow improved and earlier detection of PTL in high risk women

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2018–2019). Reported award amounts total $965,683. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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