Charalampos Sotirakis , Anna Pelliet , Niall Conway , James FitzGerald , Chrystalina Antoniades
{"title":"帕金森病患者和非帕金森病患者躯干传感器放置的比较分析","authors":"Charalampos Sotirakis , Anna Pelliet , Niall Conway , James FitzGerald , Chrystalina Antoniades","doi":"10.1016/j.jbiomech.2025.112975","DOIUrl":null,"url":null,"abstract":"<div><div>Wearable devices are widely adopted for monitoring motor symptoms in Parkinson’s Disease (PD), but optimal sensor placement remains under debate. This study compares kinematic data between a smartphone placement on the abdomen (patient-friendly) and a lumbar sensor (gold-standard) in individuals with and without PD. Five PD patients and five healthy controls wore inertial measurement units (IMUs) and consumer smart devices (smartwatch and smartphone) on their wrist and around their waist. Wrist sensors were utilised only to synchronise between the two sensor systems. The lumbar IMU and smartphone were placed at the level of the L5 vertebra and in the abdomen region, respectively. Data were collected during quiet stance with closed eyes and overground walking tasks. For both accelerometer and gyroscope signals, maximum spectral coherence was used to assess the frequency-domain correlation between the smartphone and the lumbar sensor while spectral gain measured their spatial coupling in the anteroposterior, mediolateral, and vertical planes within the 0.1–10 Hz frequency band. Analysis demonstrated a good to excellent inter-device agreement (coherence > 0.9) in both groups in most coordinates. However, coherence decreased (coherence < 0.9) for mediolateral acceleration and pitch rotation in walking. Sensor agreement was substantially lower in the quiet stance tasks particularly for anteroposterior acceleration and pitch rotation. These results were evident in both groups. Abdomen device placement provides clinically valid movement data for PD motor symptom monitoring. Yet, caution is advised for specific parameters, as abdominal movement may introduce noise, affecting measurement accuracy. This research contributes to identifying the patient-centric device positioning without compromising data, in both people with PD and healthy individuals.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"192 ","pages":"Article 112975"},"PeriodicalIF":2.4000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative analysis of trunk sensor placement in people with and without Parkinson’s disease\",\"authors\":\"Charalampos Sotirakis , Anna Pelliet , Niall Conway , James FitzGerald , Chrystalina Antoniades\",\"doi\":\"10.1016/j.jbiomech.2025.112975\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Wearable devices are widely adopted for monitoring motor symptoms in Parkinson’s Disease (PD), but optimal sensor placement remains under debate. This study compares kinematic data between a smartphone placement on the abdomen (patient-friendly) and a lumbar sensor (gold-standard) in individuals with and without PD. Five PD patients and five healthy controls wore inertial measurement units (IMUs) and consumer smart devices (smartwatch and smartphone) on their wrist and around their waist. Wrist sensors were utilised only to synchronise between the two sensor systems. The lumbar IMU and smartphone were placed at the level of the L5 vertebra and in the abdomen region, respectively. Data were collected during quiet stance with closed eyes and overground walking tasks. For both accelerometer and gyroscope signals, maximum spectral coherence was used to assess the frequency-domain correlation between the smartphone and the lumbar sensor while spectral gain measured their spatial coupling in the anteroposterior, mediolateral, and vertical planes within the 0.1–10 Hz frequency band. Analysis demonstrated a good to excellent inter-device agreement (coherence > 0.9) in both groups in most coordinates. However, coherence decreased (coherence < 0.9) for mediolateral acceleration and pitch rotation in walking. Sensor agreement was substantially lower in the quiet stance tasks particularly for anteroposterior acceleration and pitch rotation. These results were evident in both groups. Abdomen device placement provides clinically valid movement data for PD motor symptom monitoring. Yet, caution is advised for specific parameters, as abdominal movement may introduce noise, affecting measurement accuracy. This research contributes to identifying the patient-centric device positioning without compromising data, in both people with PD and healthy individuals.</div></div>\",\"PeriodicalId\":15168,\"journal\":{\"name\":\"Journal of biomechanics\",\"volume\":\"192 \",\"pages\":\"Article 112975\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of biomechanics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0021929025004877\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biomechanics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021929025004877","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOPHYSICS","Score":null,"Total":0}
Comparative analysis of trunk sensor placement in people with and without Parkinson’s disease
Wearable devices are widely adopted for monitoring motor symptoms in Parkinson’s Disease (PD), but optimal sensor placement remains under debate. This study compares kinematic data between a smartphone placement on the abdomen (patient-friendly) and a lumbar sensor (gold-standard) in individuals with and without PD. Five PD patients and five healthy controls wore inertial measurement units (IMUs) and consumer smart devices (smartwatch and smartphone) on their wrist and around their waist. Wrist sensors were utilised only to synchronise between the two sensor systems. The lumbar IMU and smartphone were placed at the level of the L5 vertebra and in the abdomen region, respectively. Data were collected during quiet stance with closed eyes and overground walking tasks. For both accelerometer and gyroscope signals, maximum spectral coherence was used to assess the frequency-domain correlation between the smartphone and the lumbar sensor while spectral gain measured their spatial coupling in the anteroposterior, mediolateral, and vertical planes within the 0.1–10 Hz frequency band. Analysis demonstrated a good to excellent inter-device agreement (coherence > 0.9) in both groups in most coordinates. However, coherence decreased (coherence < 0.9) for mediolateral acceleration and pitch rotation in walking. Sensor agreement was substantially lower in the quiet stance tasks particularly for anteroposterior acceleration and pitch rotation. These results were evident in both groups. Abdomen device placement provides clinically valid movement data for PD motor symptom monitoring. Yet, caution is advised for specific parameters, as abdominal movement may introduce noise, affecting measurement accuracy. This research contributes to identifying the patient-centric device positioning without compromising data, in both people with PD and healthy individuals.
期刊介绍:
The Journal of Biomechanics publishes reports of original and substantial findings using the principles of mechanics to explore biological problems. Analytical, as well as experimental papers may be submitted, and the journal accepts original articles, surveys and perspective articles (usually by Editorial invitation only), book reviews and letters to the Editor. The criteria for acceptance of manuscripts include excellence, novelty, significance, clarity, conciseness and interest to the readership.
Papers published in the journal may cover a wide range of topics in biomechanics, including, but not limited to:
-Fundamental Topics - Biomechanics of the musculoskeletal, cardiovascular, and respiratory systems, mechanics of hard and soft tissues, biofluid mechanics, mechanics of prostheses and implant-tissue interfaces, mechanics of cells.
-Cardiovascular and Respiratory Biomechanics - Mechanics of blood-flow, air-flow, mechanics of the soft tissues, flow-tissue or flow-prosthesis interactions.
-Cell Biomechanics - Biomechanic analyses of cells, membranes and sub-cellular structures; the relationship of the mechanical environment to cell and tissue response.
-Dental Biomechanics - Design and analysis of dental tissues and prostheses, mechanics of chewing.
-Functional Tissue Engineering - The role of biomechanical factors in engineered tissue replacements and regenerative medicine.
-Injury Biomechanics - Mechanics of impact and trauma, dynamics of man-machine interaction.
-Molecular Biomechanics - Mechanical analyses of biomolecules.
-Orthopedic Biomechanics - Mechanics of fracture and fracture fixation, mechanics of implants and implant fixation, mechanics of bones and joints, wear of natural and artificial joints.
-Rehabilitation Biomechanics - Analyses of gait, mechanics of prosthetics and orthotics.
-Sports Biomechanics - Mechanical analyses of sports performance.