Validity of a single inertial measurement unit to measure hip range of motion during gait in patients undergoing total hip arthroplasty

Article Article scientifique Article Validity of a single inertial measurement unit to measure hip range of motion during gait in patients undergoing total hip arthroplasty eng 2025-05-27 2025-06-01 author Al Alem Noor 0009-0003-7570-0466 402507 Département de chirurgie (CHIRU) author Gasparutto Xavier 0000-0001-8617-6522 891356 author Rose-Dulcina Kevin 0000-0002-8698-3268 833620 author Digiovanni Peter Luca 0000-0003-0066-3253 972764 author Hannouche Didier 0000-0003-2060-2394 842478 Département de chirurgie (CHIRU) author Armand Stéphane 0000-0001-9144-4982 636265 Département de chirurgie (CHIRU) 3363 10.3390/s25113363 1424-8220 https://www.mdpi.com/1424-8220/25/11/3363 <p>Hip flexion range of motion (ROM) during gait is an important surgery outcome for patients undergoing total hip arthroplasty (THA) that could help patient monitoring and rehabilitation. To allow systematic measurements during patients’ clinical pathways, hip ROM measurement should be as simple and cheap as possible to ensure patient and clinician acceptance. Single IMU options can match these requirements and offer measurements both during daily living conditions and standardized clinical tests (e.g., 10 m walk, timed up-and-go). However, single-IMU approaches to measure hip ROM have been limited. Thus, the objective of this study was to explore the accuracy of one IMU in measuring hip ROM during gait and to determine whether a single-IMU approach can provide results comparable to those of multi-IMU systems. To assess this, machine learning models were employed, ranging from the simplest (linear regression) to more complex approaches (artificial neural networks). Eighteen patients undergoing THA and seven controls were measured using a 3D opto-electronic motion capture system and one thigh-mounted IMU. Hip ROM was predicted from thigh ROM using regression and classification models and was compared to the reference hip ROM. Multiple regression was the best-performing model, with limits of agreement (LoA) of ±13° and a systematic bias of 0. Random forest, RNN, GRU and LSTM models yielded LoA ranges > 27.8°, exceeding the threshold of acceptable error. These results showed that one IMU can measure hip ROM with errors comparable to those of two-IMU methods, with potential for improvement. Using multiple linear regression was sufficient and more appropriate than employing complex ANN models. This approach offers simplicity and acceptance to users in clinical settings.</p> Total hip arthroplasty Hip range of motion Inertial measurement units Machine learning Artificial neural networks Dewey 617 57 Département de chirurgie 222 false 900 Laboratoire de cinésiologie 943 955 Mécanismes physiopathologiques de l'arthrose 960 Sensors 25 11 d7ee72b5-2f22-4f3f-9116-24de3b09b8fe Article (Published version) Public sensors-25-03363-v3.pdf 5410764 application/pdf CC BY-4.0 dbb9fded660c71ff924b982562cefd2959c20f884be2a9a1be5ceef5dd403216 openAccess Faculté de médecine / Section de médecine clinique / Département de chirurgie

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Validity of a single inertial measurement unit to measure hip range of motion during gait in patients undergoing total hip arthroplasty	Sensors			2025	68	35

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Al Alem, Noor

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