AI-Powered Humanoid Simulation Robot for Neonatal Emergency Resuscitation by Top China Suppliers & Factory
AI-Powered Humanoid Simulation Robot for Neonatal Emergency Resuscitation
System Composition
The model integrates various high-precision intelligent sensors capable of capturing and recording operational data in real time, providing detailed evidence for skill assessment and teaching feedback.
Simulator Parameters
Body Length
<58 cm
Head Circumference
<37 cm
Weight
approx. 3 kg
Material
Medical-grade silicone
Functions
- Chest Compression Training Structure
- Realistic Airway Ventilation Structure
- Endotracheal Intubation Training Structure
- Posture Detection Structure
- Breathing and Pulse Feedback System
- Pupil State Simulation
- Cyanosis Simulation
- Spontaneous Breathing and Pulse Simulation
- Muscle Tone Response Assessment
Frequently Asked Questions
What is the primary function of this neonatal emergency resuscitation robot?
It is designed to simulate neonatal emergency resuscitation procedures. The model integrates intelligent sensors that capture and record operational training data in real time, facilitating skill assessment and detailed teaching feedback.
What are the physical dimensions and weight of the simulator?
The simulator has a body length of less than 58 cm, a head circumference of less than 37 cm, and weighs approximately 3 kg, closely mimicking actual neonatal proportions.
What material is used to construct the simulator?
The simulator is constructed using medical-grade silicone to provide a highly realistic tactile experience and ensure long-term durability during intensive medical training.
Does the simulator support airway ventilation and intubation training?
Yes, it features both a realistic airway ventilation structure and a dedicated endotracheal intubation training structure to practice advanced airway management.
What physiological feedback states can the simulator display?
It can simulate pupil states, cyanosis (blue coloration of the skin), spontaneous breathing, pulse feedback, and muscle tone responses to provide a dynamic clinical simulation environment.