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Classifying prosthetic use via accelerometry in persons with transtibial amputations

Classifying prosthetic use via accelerometry in persons with transtibial amputations. Morgan T. Redfield, MSEE; John C. Cagle, BSE; Brian J. Hafner, PhD; Joan E. Sanders, PhD. Aim Use 3-axis accelerometer to characterize activities and body postures in transtibial amputation. Relevance

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Classifying prosthetic use via accelerometry in persons with transtibial amputations

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  1. Classifying prosthetic use via accelerometry in persons with transtibial amputations Morgan T. Redfield, MSEE; John C. Cagle, BSE; Brian J. Hafner, PhD; Joan E. Sanders, PhD

  2. Aim • Use 3-axis accelerometer to characterize activities and body postures in transtibial amputation. • Relevance • How persons with amputation use their prostheses over time may facilitate rehabilitation and enhance understanding of prosthesis functionality. • Existing monitoring and classification systems are often limited, record data over short periods, and/or classify limited activities and body postures.

  3. Method • Accelerometers were mounted on prosthetic pylons of 10 persons with transtibial amputation as they performed preset routine of actions. • Accelerometer data was postprocessed with binary decision tree to: • Identify when prosthesis was being worn. • Classify use as movement, standing, or sitting. • Classifications were compared to visual observation by study researchers.

  4. Results • Classifier achieved average accuracy of 96.6%.

  5. Conclusion • Information provided by this system may: • Help clinicians in fitting prostheses, selecting components, or training patients. • Be useful for automatic feedback control to adjust prosthesis mechanisms based on activity and posture.

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