Machine Learning Approach to Classify Postural Sway Instabilities-Reference-Cited by-同舟云学术

Machine Learning Approach to Classify Postural Sway Instabilities

Published:2023-05-22 Issue: Volume: Page:
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Container-title:2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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Author:

Andò Bruno¹,Baglio Salvatore¹,Finocchiaro Valeria¹,Marletta Vincenzo¹,Rajan Sreeraman²,Nehary Ebrahim Ali²,Dibilio Valeria³,Mostile Giovanni³,Zappia Mario³

Affiliation:

1. DIEEI University of Catania,Catania,Italy

2. Carleton University,Dep. of Syst. Comp. Eng.,Ottawa,Canada

3. Clinica Neurologica AOU Policlinico Vittorio Emanuele,Catania,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10175865/10175876/10176004.pdf?arnumber=10176004

Reference28 articles.

1. A new process to measure postural sway using a Kinect depth camera during a Sensory Organisation Test

2. Study of Postural Stability Features by Using Kinect Depth Sensors to Assess Body Joint Coordination Patterns

3. Monitoring of Posture Allocations and Activities by a Shoe-Based Wearable Sensor

4. Analyzing the Use of Accelerometers as a Method of Early Diagnosis of Alterations in Balance in Elderly People: A Systematic Review;leirós-rodríguez;Sensors (Basel),2019

5. New methods of posturographic data analysis may improve the diagnostic value of static posturography in multiple sclerosis

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3. Postural Sway Classification Using Triaxial Accelerometer Signals;IEEE Sensors Letters;2024-05