Sensor-Integrated Smart Pump forDeep Vein Thrombosis Prevention
- Title
- Sensor-Integrated Smart Pump forDeep Vein Thrombosis Prevention
- Creator
- Sebastian, George; Ananda Krishnan Menon, K.; Newton, Migheal; Shaju, Sonal; Haneesh, K.M.
- Description
- Deep Vein Thrombosis (DVT) is the formation of blood clots in the lower limb because of prolonged immobility. Such critical medical conditions can be avoided by regularly using compression cuffs on the limbs; however, traditional compression devices lack adaptability, cause patient discomfort, and have inconsistent pressure application. This study presents a smart wearable and portable compression system integrated with sensors to receive real-time feedback. A DC motor, controlled by an H-bridge converter, inflates the systems inflatable sleeves. The DC motor speed controls the pumping pressure, and a solenoid valve controls the inflation rate. Pressure, temperature, and moisture sensors are embedded in the inner part of the cuff to monitor the physiological parameters. An Arduino-based control system was used to control the inflation rate, air pressure, and duration of compression, optimally ensuring patient comfort. The designed pump was tested and shown adaptability when the sensor data changes. An AI-based control framework is also proposed in this work to enhance the performance and to make the pump autonomous and user-friendly. The response of the proposed AI-based control was validated through simulations of the model developed from fundamentals. The simulation results suggest that the AI-based DVT pump is more adaptable to the physiological parameter variations, even when the parameters change rapidly. The AI-driven model provides faster and more precise control of inflation and deflation patterns, preventing overheating, over-compression, and sweating. This study highlights the feasibility of a smart, wearable DVT pump that can adapt to the compression requirements while ensuring safety and comfort. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
- Source
- Lecture Notes in Networks and Systems;Volume;1653 LNNS;pp.358-368
- Date
- 01-01-2026
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Adaptive Control; Deep Vein Thrombosis (DVT); Intelligent Pneumatic Compression; Smart Healthcare Technology; Wearable Compression Device
- Coverage
- Sebastian G., Department of Electrical and Electronics Engineering, CHRIST University, Bangalore, India; Ananda Krishnan Menon K., Department of Electrical and Electronics Engineering, CHRIST University, Bangalore, India; Newton M., Department of Electrical and Electronics Engineering, CHRIST University, Bangalore, India; Shaju S., Department of Electrical and Electronics Engineering, CHRIST University, Bangalore, India; Haneesh K.M., Department of Electrical and Electronics Engineering, CHRIST University, Bangalore, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 23673370; ISBN: 978-303206693-0;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sebastian, George; Ananda Krishnan Menon, K.; Newton, Migheal; Shaju, Sonal; Haneesh, K.M., “Sensor-Integrated Smart Pump forDeep Vein Thrombosis Prevention,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25361.