Machine learning-based assessment tool for imbalance and vestibular dysfunction with virtual reality rehabilitation system

• Published in: Computer methods and programs in biomedicine Vol. 116; no. 3; pp. 311 - 318
• Main Authors: Yeh, Shih-Ching, Huang, Ming-Chun, Wang, Pa-Chun, Fang, Te-Yung, Su, Mu-Chun, Tsai, Po-Yi, Rizzo, Albert
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ireland Ltd 01.10.2014; Elsevier
• Subjects: Adult; Algorithms; Applied sciences; Artificial Intelligence; Assessment; Biofeedback, Psychology - instrumentation; Biofeedback, Psychology - methods; Biological and medical sciences; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Data processing. List processing. Character string processing; Diagnosis, Computer-Assisted - instrumentation; Diagnosis, Computer-Assisted - methods; Dizziness - diagnosis; Dizziness - rehabilitation; Exact sciences and technology; Female; Headache. Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. Cerebral palsy; Humans; Internal Medicine; Machine learning; Male; Medical sciences; Memory organisation. Data processing; Middle Aged; Nervous system (semeiology, syndromes); Neurology; Other; Pattern Recognition, Automated - methods; Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects); Software; Technology. Biomaterials. Equipments. Material. Instrumentation; Therapy, Computer-Assisted - instrumentation; Therapy, Computer-Assisted - methods; Treatment Outcome; User-Computer Interface; Vestibular Diseases - diagnosis; Vestibular Diseases - rehabilitation; Vestibular dysfunction; Video Games; Virtual reality; Vestibular dysfunction; Machine learning; Virtual reality; Assessment; Ergotherapy; Quantization; Unbalanced conditions; Inner ear; Reeducation; Surgery; Vector support machine; Vestibular syndrome; Medical application; Statistical analysis; Probabilistic approach; Measurement sensor; Drug dispensation; Experimental study; Physical rehabilitation; Computer games; Interactive system; Software tool; Non invasive method; Rehabilitation; Artificial intelligence

Dizziness is a major consequence of imbalance and vestibular dysfunction. Compared to surgery and drug treatments, balance training is non-invasive and more desired. However, training exercises are usually tedious and the assessment tool is insufficient to diagnose patient's severity rapidly. A...