Sculpt3D: Smart traditional liposuction system with machine learning-based predictive model for aspiration volume estimation through 3D body visualization and real-time data monitoring using arduino mega/ Vincent M. Gloria, Xenia Yori Zelia D. Junasa, John Bryle L. Mortel, Sigmund Yona Marie A. Orpilla, Carl Sonmuel M. Peregrino, and Miguel Angelo A. Velasquez.--

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Gloria, Vincent M [author]

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Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2025.Description: xvi, 193pages: 29cmContent type:

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BTH TJ 145 C36 2025

Dissertation note: College of Engineering.-- Bachelor of science in electronics engineering: Technological University of the Philippines, 2025. Summary: Liposuction is among the most performed cosmetic procedures for fat reduction and body contouring, but traditional methods carry health risks due to limited precision and heavy reliance on the surgeon’s expertise. Sculpt3D is a Smart Traditional Liposuction System designed to enhance accuracy using machine learning-based predictive modeling, 3D body visualization, and real-time data monitoring. The system features a dual-function device combining aspiration and infiltration, using a piston vacuum pump for fat suction and a peristaltic pump for controlled anesthesia delivery. It is built with Arduino Mega and ESP8266 microcontrollers for real-time parameter tracking. A predictive model estimates fat aspiration volume pre-operatively based on anthropometric data. This study includes system design, model development, hardware implementation, and software integration. A mobile app supports pre-operative 3D planning and post- operative recovery monitoring for both professionals and patients. System testing evaluated model accuracy, infiltration efficiency, and aspiration performance under varying pressure levels. Results demonstrated strong clinical usability, technical performance, and model accuracy, confirming that Sculpt3D is a viable, efficient, and user-friendly advancement over traditional liposuction systems.

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Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis COE	TUP Manila Library	Thesis Section-2nd floor	BTH TK 870 G56 2025 (Browse shelf(Opens below))	c.1.	Not for loan		BTH0006415

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Bachelor's thesis

College of Engineering.-- Bachelor of science in electronics engineering: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

Liposuction is among the most performed cosmetic procedures for fat reduction
and body contouring, but traditional methods carry health risks due to limited precision
and heavy reliance on the surgeon’s expertise. Sculpt3D is a Smart Traditional Liposuction
System designed to enhance accuracy using machine learning-based predictive modeling,
3D body visualization, and real-time data monitoring.
The system features a dual-function device combining aspiration and infiltration,
using a piston vacuum pump for fat suction and a peristaltic pump for controlled anesthesia
delivery. It is built with Arduino Mega and ESP8266 microcontrollers for real-time
parameter tracking. A predictive model estimates fat aspiration volume pre-operatively
based on anthropometric data.
This study includes system design, model development, hardware implementation,

and software integration. A mobile app supports pre-operative 3D planning and post-
operative recovery monitoring for both professionals and patients. System testing

evaluated model accuracy, infiltration efficiency, and aspiration performance under
varying pressure levels.
Results demonstrated strong clinical usability, technical performance, and model
accuracy, confirming that Sculpt3D is a viable, efficient, and user-friendly advancement
over traditional liposuction systems.

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