Current at-home blood pressure monitors that are FDA-approved may be inaccurate by up to 15 mmHg, a significant margin given that the difference between normal and hypertensive blood pressures is only 10 mmHg. To address this, we created an automatic blood pressure monitor that mimics the traditional method used by doctors. This employs a microphone in a 3D-printed stethoscope bell to capture Korotkoff sounds in the upper arm, conjointly with an automated cuff powered by an air pump, solenoid valve, and pressure sensor for cuff inflation and pressure measurements. The first and last instances of K-sound detection produce the systolic and diastolic pressures. To enhance the signal quality of the K-sounds, the microphone signal is filtered, and then processed through a custom detection algorithm within the embedded system. The results from our device were simultaneously validated with manual auscultation. The auscultatory monitor demonstrated an average bias of 1.95 mmHg ± 3.09 mmHg for systolic pressure and 0.09 mmHg ± 5.71 mmHg for diastolic pressure. The auscultatory monitor meets the ISO standards of ± 5 mmHg average accuracy and ± 8 mmHg standard deviation. In contrast, the oscillometric monitor exhibited a systolic average bias of -0.32 mmHg ± 5.93 mmHg and a diastolic bias of 6.86 ± 7.73 mmHg. The oscillometric monitor exceeds the acceptable average accuracy of ± 5 mmHg, and contains inaccuracies of up to 23 mmHg. The auscultatory monitor consistently provided more accurate results with lower deviation from true values compared to oscillometric devices, even under non ideal conditions, still meeting ISO standards.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Benson-Clarke, Isabelle
• Breslov, Benjamin
• Wheet, Benjamin
• Babu, Amirthavarshini
• Prisco, Juliana

Subject

• Well-Being
• Innovation
• Health
• Project-Based Learning

Publisher

• Worcester Polytechnic Institute

Identifier

• 121562
• E-project-042424-162728

Mot-clé

• Accessible Health Care
• At Home Health Monitoring
• Auscultatory
• Affordable Health
• Oscillometric
• Blood Pressure

Advisor

• Radhakrishnan, Pradeep
• Albrecht, Dirk

Year

• 2024

UN Sustainable Development Goals

• 3 - Good Health and Well-being

Date created

• 2024-04-24

Resource type

• Major Qualifying Project

Major

• Mechanical Engineering
• Electrical & Computer Engineering
• Biomedical Engineering

Source

• E-project-042424-162728

Rights statement

• In Copyright

Dernière modification

• 2024-05-09