Non-invasive biosensors to detect cardiovascular changes in heart failure

NIH RePORTER · NIH · R01 · $567,696 · view on reporter.nih.gov ↗

Abstract

 DESCRIPTION (provided by applicant): Heart failure (HF) is one of the most major challenges faced by society today, claiming hundreds of thousands of American lives each year and costing more than 30 billion Medicare dollars annually. The ultimate goal of this research is to create an unobtrusive wearable system for continuously monitoring HF patients in naturalistic settings, automatically assessing their risk of experiencing an exacerbation, and providing feedback to caregivers and the patients themselves. The central innovation that will support these efforts is the proposed measurement of hemodynamic responses to stressors experienced in normal activities of daily living (e.g., walking, climbing stairs). The measurement of such hemodynamic responses will be enabled by wearable ballistocardiography (BCG). The following four specific aims are proposed for the research: (1) to elucidate the underlying mechanisms involved in the genesis of wearable ballistocardiogram (BCG) signals; (2) to develop novel predictive analytics algorithms for BCG signals measured from HF patients at home; (3) to design and implement a wearable sensing system for estimating cardiac output (CO), blood pressure (BP), and indirect calorimetry from ambulant subjects; and (4) to evaluate the wearable sensing system with healthy and HF patients during cardiopulmonary stress testing, and to pilot the new system at home for a small population of patients. The first aim will build a strong foundation for better understanding the wearable BCG signal - a measurement of body vibrations in response to the heartbeat - and will inform the placement and modality of the sensor for optimizing the sensing. Furthermore, the evaluation of this wearable prototype will include usability testing to assess comfort and robustness to practical challenges (e.g., motion artifacts, the device rubbing on clothing), and based on the results the design will be refined and improved. While we anticipate that the wearable will provide the best solution, the project risk is mitigated through the more mature, existing scale- based system. Successful completion of this project could ultimately reduce HF related hospitalizations, and thus both improve quality of life for elderly Americans, and reduce overall healthcare costs.

Key facts

NIH application ID
9922997
Project number
5R01HL130619-05
Recipient
GEORGIA INSTITUTE OF TECHNOLOGY
Principal Investigator
Omer Tolga Inan
Activity code
R01
Funding institute
NIH
Fiscal year
2020
Award amount
$567,696
Award type
5
Project period
2016-05-15 → 2022-04-30