Abstract
This research studies the use of a single accelerometer inside a smartphone as a sensor to detect those postures that may be risks for patients with hip surgery to dislocate their joints. Various postures were analyzed using Euclidean distances to determine the feasibility to detect eight postures that were harmful. With the mobile phone attached to the affected upper leg, it was found that there was one harmful posture that could not be detected due to its close similarity with a normal posture. Meanwhile, the other two harmful postures, although indistinguishable based on their measured data, were still detectable with the suitably selected threshold. The distance measure analysis is useful as an indicator as to which posture will be near to missing out in the detection process. This will form a guideline for further design of a practical and more robust detecting system.
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Acknowledgements
We would like to thank Dr. Nathee Ruangthong of Ban Mi Hospital, Lop Buri, Thailand, for many of his valuable suggestions. One was that no real patient was required to participate as it might cause injuries and some difficulties. With this recommendation and to follow the ethical guideline for clinical trial, the participant who was a normal person in this trial was fully explained of the procedure and the use of the data collected and was later given a proper form of consent to sign voluntarily.
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Naonueng, K., Chutatape, O., Phoophuangpairoj, R. (2020). Analyzing the Detectability of Harmful Postures for Patient with Hip Prosthesis Based on a Single Accelerometer in Mobile Phone. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1042. Springer, Singapore. https://doi.org/10.1007/978-981-32-9949-8_9
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