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MOBILE CARDIAC RESCUE

The device autonomously responds to cardiac arrest events, integrating AED and a first aid bed to assist in CPR and patient transport.

  • General introduction of the product。

  • Product prototype picture。

  • Product rendering

What it does

When a sudden cardiac arrest event occurs, it can take the initiative to go to the site to assist in rescue. The device integrates AED equipment and first aid beds to participate in cardiac rescue and transportation.


Your inspiration

The inspiration for this product comes from the critical challenge of the “golden four minutes” in cardiac arrest emergencies. Although AEDs are increasingly available in public spaces, their effectiveness is often limited by unclear locations, insufficient guidance, or improper use. At the same time, first responders may struggle to perform effective CPR and patient transport without adequate tools. This design envisions an autonomous, integrated device that can travel to the emergency site, combining AED and transport functions to significantly improve rescue efficiency and survival rates—truly embodying the idea that “time is life.” ?


How it works

Upon receiving an emergency alert of sudden cardiac arrest, the device activates its autonomous navigation system and quickly travels to the incident location. Using its built-in positioning module connected to public safety networks, it accurately identifies the scene and plots the optimal route. Upon arrival, it deploys into a mobile first aid bed and unlocks the AED unit, providing step-by-step CPR guidance via voice and display instructions to bystanders. The device can also connect remotely with medical professionals for real-time assistance. Additionally, it features smooth electric mobility for safe patient transport to an ambulance pickup point or medical facility, greatly improving the efficiency and effectiveness of emergency response.


Design process

At the start of the project, we explored a range of social issues and ultimately decided to focus on the theme of public health emergency response—an area that directly relates to life-saving interventions. Through preliminary research, we identified sudden cardiac arrest as a highly time-sensitive and unpredictable emergency, where immediate CPR and AED use are crucial for survival. To gain firsthand insights, we conducted on-site investigations at hospitals and emergency response centers. Through interviews with medical staff, observations of real emergency drills, and analysis of current AED deployment and usage, we discovered several key issues: AEDs are often dispersed and hard to locate, public knowledge and confidence in using them are low, and bystanders lack the support and tools needed to participate effectively in rescues. With these findings, we proposed an integrated solution—a mobile device capable of autonomously navigating to the emergency site, combining AED functionality with a foldable rescue bed. The device not only provides technical assistance and CPR guidance but also supports initial patient transport, enabling a hybrid system of automated and human-led emergency response.


How it is different

This design stands out by transforming the traditional AED from a passive, fixed device into an active, mobile responder. For the first time, it introduces a self-initiated public emergency rescue model, combining autonomous navigation, AED functionality, and a foldable transport platform into a single smart terminal. Instead of waiting for people to find the device, this device actively locates people in need. Another distinctive feature is its human-device collaborative interface. With voice prompts, on-screen instructions, and remote medical connection, even untrained bystanders can follow step-by-step guidance to perform effective CPR, lowering the barrier to lifesaving action. Moreover, the device addresses the critical yet often overlooked “last mile” of emergency response: safe and rapid patient transport. It transforms into a mobile stretcher with a powered mobility system, ensuring both safety and ease of movement for patients and rescuers.


Future plans

In the future, we aim to enhance the device’s AI algorithm for faster route planning and patient identification. We plan to collaborate with hospitals and public health systems for real-world trials, refine its usability through feedback, and explore mass production. Ultimately, we hope to integrate it into smart city emergency networks to save more lives.


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