A Review of State-of-the-arts Sensing Techniques for the Ultra-early Screening of Cerebral Palsy

• Published in: 2023 IEEE International Conference on Real-time Computing and Robotics (RCAR) pp. 977 - 982
• Main Authors: Zhuang, Yunji, Zhou, Hao, Zhang, Huiping, Chen, Yanni, Wang, Lin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.07.2023
• Subjects: Computer vision; Magnetic resonance imaging; Real-time systems; Risk management; Robot sensing systems; Sensors; Sociology
• DOI: 10.1109/RCAR58764.2023.10249270

Cerebral palsy (CP) is characterized by neuromotor disorders. It remains a huge challenge for ultra-early screening of CP. So far, the diagnosis of CP is mainly based on a combination of neuromotor assessment methods, magnetic resonance imaging (MRI) and clinical history. However, subjective errors are highly likely to be introduced in the process of CP screening due to disparities in clinicians' professional backgrounds, working abilities and academic levels. Cutting-edge sensing techniques have been unveiled in the field of ultra-early CP prediction which provides objective diagnosis with quantified output information by obtaining motion capture, classification, and recognition. It is necessary to contrast the strengths, weaknesses, and potential of these techniques and how to apply them in the ultra-early screening of CP. This study compares and analyzes the latest and advanced sensing methods and discusses their future applications in infantile CP screening. The work could provide technical suggestions and clinical guidance for early intervention in the field of ultra-early CP screening later on.