Technological development of motion and posture analyses is rapidly progressing,especially in rehabilitation settings and sport biomechanics.Consequently,clear discrimination among different measurement systems is req...Technological development of motion and posture analyses is rapidly progressing,especially in rehabilitation settings and sport biomechanics.Consequently,clear discrimination among different measurement systems is required to diversify their use as needed.This review aims to resume the currently used motion and posture analysis systems,clarify and suggest the appropriate approaches suitable for specific cases or contexts.The currently gold standard systems of motion analysis,widely used in clinical settings,present several limitations related to marker placement or long procedure time.Fully automated and markerless systems are overcoming these drawbacks for conducting biomechanical studies,especially outside laboratories.Similarly,new posture analysis techniques are emerging,often driven by the need for fast and non-invasive methods to obtain high-precision results.These new technologies have also become effective for children or adolescents with non-specific back pain and postural insufficiencies.The evolutions of these methods aim to standardize measurements and provide manageable tools in clinical practice for the early diagnosis of musculoskeletal pathologies and to monitor daily improvements of each patient.Herein,these devices and their uses are described,providing researchers,clinicians,orthopedics,physical therapists,and sports coaches an effective guide to use new technologies in their practice as instruments of diagnosis,therapy,and prevention.展开更多
In recent years,the use of inertial measurement unit(IMU)-based motion capture(Mocap)systems in rehabilitation has grown significantly.This paper aimed to provide an overview of current IMUbased Mocap system designs i...In recent years,the use of inertial measurement unit(IMU)-based motion capture(Mocap)systems in rehabilitation has grown significantly.This paper aimed to provide an overview of current IMUbased Mocap system designs in the field of rehabilitation,explore the specific applications and implementation of these systems,and discuss potential future developments considering sensor limitations.For this review,a systematic literature search was conducted using Scopus,IEEE Xplore,PubMed,and Web of Science from 2013 to 2022.A total of 65 studies were included and analyzed based on their rehabilitation application,target population,and system deployment and measurement.The proportion of rehabilitation assessment,training,and both were 82%,12%,and 6%respectively.The results showed that primary focus of the studies was stroke that was one of the most commonly studied pathological disease.Additionally,general rehabilitation without targeting a specific pathology was also examined widely,with a particular emphasis on gait analysis.The most common sensor configuration for gait analysis was two IMUs measuring spatiotemporal parameters of the lower limb.However,the lack of training applications and upper limb studies could be attributed to the limited battery life and sensor drift.To address this issue,the use of low-power chips and low-consumption transmission pathways was a potential way to extend usage time for long-term training.Furthermore,we suggest the development of a highly integrated multi-modal system with sensor fusion.展开更多
基金Supported by University Research Project GrantNo. PIACERI Found–NATURE-OA-2020-2022。
文摘Technological development of motion and posture analyses is rapidly progressing,especially in rehabilitation settings and sport biomechanics.Consequently,clear discrimination among different measurement systems is required to diversify their use as needed.This review aims to resume the currently used motion and posture analysis systems,clarify and suggest the appropriate approaches suitable for specific cases or contexts.The currently gold standard systems of motion analysis,widely used in clinical settings,present several limitations related to marker placement or long procedure time.Fully automated and markerless systems are overcoming these drawbacks for conducting biomechanical studies,especially outside laboratories.Similarly,new posture analysis techniques are emerging,often driven by the need for fast and non-invasive methods to obtain high-precision results.These new technologies have also become effective for children or adolescents with non-specific back pain and postural insufficiencies.The evolutions of these methods aim to standardize measurements and provide manageable tools in clinical practice for the early diagnosis of musculoskeletal pathologies and to monitor daily improvements of each patient.Herein,these devices and their uses are described,providing researchers,clinicians,orthopedics,physical therapists,and sports coaches an effective guide to use new technologies in their practice as instruments of diagnosis,therapy,and prevention.
基金supports from Shenzhen Science and Technology Program(JCYJ20220530113811027,JCYJ20220818103602004,and JCYJ20210324104203010)Shenzhen Key Laboratory of Smart Healthcare Engineering(ZDSYS20200811144003009)+2 种基金the National Key Research and Development Program of China(2022YFF1202500,2022YFF1202502)the Funds for the Cultivation of Guangdong College Students’Scientific and Technological Innovation,China("Climbing Program"Special Funds,pdjh2023c11305)College Students’Innovative Entrepreneurial Training Plan Program,China(Y01381868).
文摘In recent years,the use of inertial measurement unit(IMU)-based motion capture(Mocap)systems in rehabilitation has grown significantly.This paper aimed to provide an overview of current IMUbased Mocap system designs in the field of rehabilitation,explore the specific applications and implementation of these systems,and discuss potential future developments considering sensor limitations.For this review,a systematic literature search was conducted using Scopus,IEEE Xplore,PubMed,and Web of Science from 2013 to 2022.A total of 65 studies were included and analyzed based on their rehabilitation application,target population,and system deployment and measurement.The proportion of rehabilitation assessment,training,and both were 82%,12%,and 6%respectively.The results showed that primary focus of the studies was stroke that was one of the most commonly studied pathological disease.Additionally,general rehabilitation without targeting a specific pathology was also examined widely,with a particular emphasis on gait analysis.The most common sensor configuration for gait analysis was two IMUs measuring spatiotemporal parameters of the lower limb.However,the lack of training applications and upper limb studies could be attributed to the limited battery life and sensor drift.To address this issue,the use of low-power chips and low-consumption transmission pathways was a potential way to extend usage time for long-term training.Furthermore,we suggest the development of a highly integrated multi-modal system with sensor fusion.
