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Parallel Session

HC-09 – Sensor Based Analysis of Movement for Quantification of Pain, Discomfort and Disequilibrium

Congress Healthcare

Thursday 31, 11:00h - 11:45h Room 2
11:00 11:45 Europe/Madrid HC-09 – Sensor Based Analysis of Movement for Quantification of Pain, Discomfort and Disequilibrium

Impaired mobility associated with a number of chronic diseases and aging is emerging as a significant global health challenge. Critical to addressing this challenge will be the development of novel methods of assessing and measuring human motion.  Such assessments will be critical in evaluating the value and impact of therapeutic interventions. There are many examples of sensors used to study many aspects of human motion. Such analyses are often complex and expensive. Rapid advances have been made in the development of smaller inexpensive, sensitive and capable sensors such as Multi-Axis Inertial Measurement Units. In this session we describe the application of machine learning techniques and a consumer grade IMU to study clinically relevant human movement and to develop robust correlates between pathology, pain, discomfort and disequilibrium.

Room 2

Impaired mobility associated with a number of chronic diseases and aging is emerging as a significant global health challenge. Critical to addressing this challenge will be the development of novel methods of assessing and measuring human motion.  Such assessments will be critical in evaluating the value and impact of therapeutic interventions. There are many examples of sensors used to study many aspects of human motion. Such analyses are often complex and expensive. Rapid advances have been made in the development of smaller inexpensive, sensitive and capable sensors such as Multi-Axis Inertial Measurement Units. In this session we describe the application of machine learning techniques and a consumer grade IMU to study clinically relevant human movement and to develop robust correlates between pathology, pain, discomfort and disequilibrium.

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