Anatomy Assemble

Discover the anatomy like never before

Anatomy Assemble is a cutting-edge interactive model revolutionizing anatomy education. Designed for hands-on, independent learning, it boosts engagement, dexterity, and knowledge retention through tactile exploration. Featuring modular components with built-in smart sensors, it delivers real-time audio feedback upon touch, transforming passive study into an immersive experience. Its reconstructive design caters to the dynamic, next-generation student, making anatomy learning an intuitive, interactive, and unforgettable experience.

Introducing Anatomy Assemble

Physical plastic models and cadaveric specimens have been critical in providing medical students with a near-life, hands-on learning experience in anatomy education. However, they are passive in nature and can only convey limited amounts of information to users. Conversely, modern digital models can store a wealth of information, but they are unable to foster tactile appreciation and spatial awareness in students. In our effort to combine the strengths of these existing models, we have produced Anatomy Assemble. Working together with the Nanyang Technological University Lee Kong Chian School of Medicine (NTU LKCMedicine), we hope that Anatomy Assemble will be at the forefront of change in the medical education scene.

Team members

Ayu Permata Halim Mendoza (DAI), Soh Zhi Ying (EPD), Thang Li Wen, Elena (EPD), Benjamin Lim Zhi Yong (EPD), Zaina Aafreen d/o Ziyavuddeen (ESD), Yap Wei Ping, Jordan (ESD), Ng Hau Yin Kendrick (CSD)

Instructors:

  • Yang Hui Ying

Writing Instructors:

  • Grace Kong

  • Bernard Tan

Project Roadmap

Problem Definition

To better understand our target audience (LKCMedicine students) and the viability of current solutions, we did extensive primary and secondary research. From our literature review, we learnt that 30% of students find interactive learning methods most useful for learning. Through our surveys with LKCMedicine students, we understood the challenges they faced in their current learning experience. We also did a site visit to LKCMedicine to understand the limitations of current learning tools.

From our findings, we refined the scope of our project and developed our problem statement: How might we create interactive physical models that empowers learners of anatomy to engage in hands-on independent learning?

Solution Ideation

To achieve the objectives set out in our problem statement, our solution needs to address the following needs:

  • Outputs sensory feedback when interacted with.
  • Closely resembles a real-life body part in terms of looks and feels.
  • Easy to operate and maintain.
  • Portable, can be used outside of the classroom/laboratory.

We collectively generated 5 different ideas. Using a Pugh matrix and radar chart, we assessed our options against several criteria. Anatomy Assemble emerged as our best idea with a score of 3.45.

Prototyping

In our survey with LKCMedicine students, most students indicated that the nervous system is one of the most difficult body systems to learn. As such, Anatomy Assemble takes the form of a brain.

Over the course of 8 months, we went through numerous prototype iterations. Each time we made a modification, we consulted our mentors to get feedback from them before making further adjustments, and the cycle repeats.

Later, we also conducted user testing with LKCMedicine students. The students were tasked to interact with the prototype before filling up a survey to provide us feedback. Of the suggestions provided, we implemented the most prominent one of applying the technology used in Anatomy Assemble to other body parts.

Final Design

Anatomy Assemble offers medical students the best of both worlds – the realistic, physical sensation of plastic models and cadavers, and the information storage potential of digital models.

Immersive Experience

Anatomy Assemble looks and feels almost like a real brain.

Independent Interaction

Anatomy Assemble can be disassembled. Each part is powered by a rechargeable battery such that it can be used on its own.

Interactive Learning

Anatomy Assemble responds to your touch, telling you the names of brain parts.

PLA Shell

The outer shell of Anatomy Assemble is 3D-printed with polylactic acid (PLA). Due to the use of magnetic resonance imaging (MRI) of a real human brain, the surface of Anatomy Assemble is anatomically accurate, with well-defined details such as the various gyri and sulci on the lobes. The close visual similarity to a real brain helps students to mentally associate what they learnt from Anatomy Assemble to an actual brain, creating an immersive experience.

Anatomy Assemble can also be taken apart into its various parts, assisting students with spatial orientation. Each part has cylindrical pins that connect and hold them together securely when assembled.

Touch-Audio System

The touch sensors on Anatomy Assemble’s surface enables interactive learning. These sensors are electrically-conductive copper tapes adhered onto the surface of Anatomy Assemble, and they are wired to an ESP32 microcontroller on the inside of each detachable brain part (known as a “Sender”). When students touch a section of the part, the sensors register the touch signal and sends it to the Sender. The Sender identifies the correct name of the section that was touched and gathers it into a data packet, before wirelessly transmitting it to another ESP32 in the charging stand (known as a “Receiver”). The Receiver then reads the data packet and identifies the correct audio file to play, then searches through an SD card for the corresponding audio file and activates the speaker to play the file, reciting the name out loud.

Within each part there is a 3.7V Li-ion rechargeable battery that powers it, enabling independent interaction as each individual part can be detached and used on its own. When assembled together, the electronics across the different parts are connected via pogo pins, allowing electrical power to be channeled throughout Anatomy Assemble when it is docked on the charging stand, ensuring that all independent parts are properly charged.

Silicone Top Layer

The exterior of Anatomy Assemble is coated with a thin layer of Smooth-Sil^TM 940 silicone. When cured, the silicone has a soft, rubbery texture that is translucent, making it the perfect material to imitate the brain tissue. Applying the silicone layer makes Anatomy Assemble feel less like a plastic model and more like a real brain, providing students with an immersive experience upon touch.

Additionally, the silicone layer protects the copper touch sensors beneath it.

Transfer Kit

One of the suggestions for improvement brought up during the user testing was to make the electronics transferable to other models. Taking the suggestion into consideration, we came up with the transfer kit. This is a compact box that contains only the most critical components of the electronic network (one rechargeable battery, one Sender, one Receiver, one micro SD card, one speaker, and some wires with copper tape sensors at their ends). This light electronics kit allows lecturers to rapidly reconfigure a static physical model into an interactive one, enabling flexibility in teaching.

User Testing & Reviews

In the later prototyping stages, we conducted user testing to get feedback for our prototype from our target audience, LKCMedicine students. Here are our findings:

This is what they have to say about Anatomy Assemble:

In partnership with :

Acknowledgements

We would like to express deep gratitude to the Nanyang Technological University Lee Kong Chian School of Medicine for presenting us with this design problem. We are especially thankful to Dr. Vivek Perumal and Dr. Ranganath Vallabhajosyula for their constant guidance in helping us understand the pedagogical limitations of current learning methods.

Additionally, we deeply appreciate our mentor, Dr. Hui Ying Yang, whose timely advice and encouragement have inspired us to push our boundaries, and we also value Professor Teo Tee Hui’s insightful suggestions on creative alternatives to improve our circuitry.

Our sincere appreciation goes to Digital Manufacturing and Design Centre (DManD) researchers Elgar Vikram Kanhere and Naresh Kumar Tha, as well as FabLab staff Law Wanzhen and Richard Goh Chin Twee, for their support throughout this project. Lastly, we would like to credit Grace Kong Yu Lyn for her recommendations that guided us in articulating our ideas with clarity.

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8 Somapah Road Singapore 487372

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487372

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Contact the Capstone Office :

+65 6499 4076

8 Somapah Road Singapore 487372

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