Volume and Flow assessment in the cardiovascular system through micro-vibration characterization

About this project

Project description

Cardiovascular diseases have become a leading cause of mortality in India, responsible for a quarter of all deaths in the country [5]. In addition, this project would enable home monitoring for such high-risk patients (like post-surgical patients) while also allowing the doctor to monitor the data frequently. The geriatric patient population, which is expected to rise by 41% in the next decade, needs continuous care and is yet another target beneficiary of the project. Dozee is an existing commercial product, developed by Turtle Shell Technologies Pvt. Ltd., that has been used to monitor vitals in over 50,000 patients. The Dozee device uses Ballistocardiography (BCG) as the technique for capturing physical motion by any physiological function, including cardiac contractions, respiratory effort, snoring, and body movements.


  • Literature review along with brainstorming with Medical experts to derive a hypothesis. Clinical significance, usability and practicality of the hypothesis to be considered before development.
  • Identify DSP techniques and ML algorithms that can be used on vibration data to cluster and classify signals across multiple parameters/markers.
  • To design a protocol to utilize existing and acquire more training set data with cardiac output clinical data.
  • To optimize the sensor array position, sampling rate and sensors to be able to acquire the necessary signals.
  • Modeling of the pulse transit based on multiple sources to identify the scope of screening for cardiovascular disorders – heart failure, hyper/hypotension, etc.
  • Create a validated algorithm layer to the base BCG program and demonstrate proof of concept with known ground truth and simulated data sets acquired with the clinical partner institute.
  • Explore other methods non-obtrusive methods to evaluate cardiac output.

Information for applicants

Essential capabilities

Electronics hardware design and development.

Desireable capabilities

AI data analytics.

Expected qualifications (Course/Degrees etc.)

B.Tech Mechatronics.

Candidate Discipline

Heart Rate Variability Ballistocardiography.

Project supervisors

Principal supervisors

UQ Supervisor

Dr Wally Thomas

School of Biomedical Sciences
IITD Supervisor

Associate professor Ravikrishnan Elangovan

Department of Biochemical Engineering and Biotechnology