Validity of a Single Inertial Measurement Unit to Measure Hip Range of Motion During Gait in Patients Undergoing Total Hip Arthroplasty
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 c...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/11/3363 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850160758923460608 |
|---|---|
| author | Noor Alalem Xavier Gasparutto Kevin Rose-Dulcina Peter DiGiovanni Didier Hannouche Stéphane Armand |
| author_facet | Noor Alalem Xavier Gasparutto Kevin Rose-Dulcina Peter DiGiovanni Didier Hannouche Stéphane Armand |
| author_sort | Noor Alalem |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d3d1900469ea4b3685f887d2f6bf0add |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-d3d1900469ea4b3685f887d2f6bf0add2025-08-20T02:23:04ZengMDPI AGSensors1424-82202025-05-012511336310.3390/s25113363Validity of a Single Inertial Measurement Unit to Measure Hip Range of Motion During Gait in Patients Undergoing Total Hip ArthroplastyNoor Alalem0Xavier Gasparutto1Kevin Rose-Dulcina2Peter DiGiovanni3Didier Hannouche4Stéphane Armand5Kinesiology Laboratory, Geneva University Hospitals and University of Geneva, 1205 Geneva, SwitzerlandKinesiology Laboratory, Geneva University Hospitals and University of Geneva, 1205 Geneva, SwitzerlandKinesiology Laboratory, Geneva University Hospitals and University of Geneva, 1205 Geneva, SwitzerlandDivision of Orthopaedics and Traumatology, Faculty of Medicine, Geneva University Hospitals, 1205 Geneva, SwitzerlandDivision of Orthopaedics and Traumatology, Faculty of Medicine, Geneva University Hospitals, 1205 Geneva, SwitzerlandKinesiology Laboratory, Geneva University Hospitals and University of Geneva, 1205 Geneva, SwitzerlandHip 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.https://www.mdpi.com/1424-8220/25/11/3363total hip arthroplastyhip range of motioninertial measurement unitsmachine learningartificial neural networks |
| spellingShingle | Noor Alalem Xavier Gasparutto Kevin Rose-Dulcina Peter DiGiovanni Didier Hannouche Stéphane Armand Validity of a Single Inertial Measurement Unit to Measure Hip Range of Motion During Gait in Patients Undergoing Total Hip Arthroplasty Sensors total hip arthroplasty hip range of motion inertial measurement units machine learning artificial neural networks |
| title | Validity of a Single Inertial Measurement Unit to Measure Hip Range of Motion During Gait in Patients Undergoing Total Hip Arthroplasty |
| title_full | Validity of a Single Inertial Measurement Unit to Measure Hip Range of Motion During Gait in Patients Undergoing Total Hip Arthroplasty |
| title_fullStr | Validity of a Single Inertial Measurement Unit to Measure Hip Range of Motion During Gait in Patients Undergoing Total Hip Arthroplasty |
| title_full_unstemmed | Validity of a Single Inertial Measurement Unit to Measure Hip Range of Motion During Gait in Patients Undergoing Total Hip Arthroplasty |
| title_short | Validity of a Single Inertial Measurement Unit to Measure Hip Range of Motion During Gait in Patients Undergoing Total Hip Arthroplasty |
| title_sort | validity of a single inertial measurement unit to measure hip range of motion during gait in patients undergoing total hip arthroplasty |
| topic | total hip arthroplasty hip range of motion inertial measurement units machine learning artificial neural networks |
| url | https://www.mdpi.com/1424-8220/25/11/3363 |
| work_keys_str_mv | AT nooralalem validityofasingleinertialmeasurementunittomeasurehiprangeofmotionduringgaitinpatientsundergoingtotalhiparthroplasty AT xaviergasparutto validityofasingleinertialmeasurementunittomeasurehiprangeofmotionduringgaitinpatientsundergoingtotalhiparthroplasty AT kevinrosedulcina validityofasingleinertialmeasurementunittomeasurehiprangeofmotionduringgaitinpatientsundergoingtotalhiparthroplasty AT peterdigiovanni validityofasingleinertialmeasurementunittomeasurehiprangeofmotionduringgaitinpatientsundergoingtotalhiparthroplasty AT didierhannouche validityofasingleinertialmeasurementunittomeasurehiprangeofmotionduringgaitinpatientsundergoingtotalhiparthroplasty AT stephanearmand validityofasingleinertialmeasurementunittomeasurehiprangeofmotionduringgaitinpatientsundergoingtotalhiparthroplasty |