Development and Application of AR-Based Assessment System for Infant Airway Obstruction First Aid Training
Bibliographic Data
| ID | 15719582 |
|---|---|
| Authors | Pao-Ju Chen (0000-0001-6208-0630, Asia University), Wei-Kai Liou (0009-0006-0684-8573, Ming Chi University of Technology, corresponding author) |
| Year | 2022 |
| Volume | 9 |
| Issue | 11 |
| Pages | 1622-1622 |
| Publication date | 2022-10-26 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Children (JOURNAL) |
| Journal identifiers | ISSN: 2227-9067 • E-ISSN: 2227-9067 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/children9111622 |
| PMID | 36360350 |
| OpenAlex | W4307552302 |
| Language | EN |
| Citations received | 1 |
| References cited | 3 |
Airway obstruction refers to suffocation caused by blockage of the airway due to a foreign body and is a common cause of accidental death in infants below one year of age. However, the current infant CPR manikins used for training in first aid for foreign body airway obstruction can only be applied to one single scenario. Furthermore, trainees' first aid skills cannot be recorded and quantified with a digital system and, consequently, assessment of their skills is difficult to conduct. This study aims to overcome the technical limitations by developing an AR-based assessment system for training in first aid for infant airway obstruction. With this assessment system, trainees can learn first aid more efficiently and correctly and conduct a quantitative assessment of their skills digitally. For instructors, the time required for assessment, potential human error, and the cost of training can also be reduced. The system can be a practical learning tool that helps trainees assess emergencies and integrate their knowledge and skills
Accidental · Airway · Airway obstruction · First aid · Foreign body · Intensive care medicine · Medical education · Medical emergency · Medical physics · Training (meteorology · Training System · Airway Management and Intubation Techniques · Augmented Reality Applications · Computer Science · Medicine · Simulation-Based Education in Healthcare · Surgery
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |