Now showing 1 - 7 of 7
  • Publication
    The Limb Movement Analysis of Rehabilitation Exercises using Wearable Inertial Sensors
    Due to no supervision of a therapist in home based exercise programs, inertial sensor based feedback systems which can accurately assess movement repetitions are urgently required. The synchronicity and the degrees of freedom both show that one movement might resemble another movement signal which is mixed in with another not precisely defined movement. Therefore, the data and feature selections are important for movement analysis. This paper explores the data and feature selection for the limb movement analysis of rehabilitation exercises. The results highlight that the classification accuracy is very sensitive to the mount location of the sensors. The results show that the use of 2 or 3 sensor units, the combination of acceleration and gyroscope data, and the feature sets combined by the statistical feature set with another type of feature, can significantly improve the classification accuracy rates. The results illustrate that acceleration data is more effective than gyroscope data for most of the movement analysis.
    Scopus© Citations 15  459
  • Publication
    Proposed Design Approach for Interactive Feedback Technology Supports in Rehabilitation
    Despite the anticipated benefits associated with the use interactive feedback technology, the adoption of these technologies into clinical practice has not yet been widespread. Initial usability studies and anecdotal evidence suggests that interactive feedback technology supports are effective in rehabilitation, yet they dontseem to satisfy the needs or the expectations of clinicians and patients. This paper outlines a proposed approach to the design,development and selection of interactive feedback supports for use in rehabilitation. The proposed process comprises seven stages; 1) Understand the problem, 2) Identify the benefits that a technology support may offer, 3) Devise a modified care pathway,4) Outline the design specification for an interactive technology support, 5) Ascertain whether other solutions exist, 6) Develop interactive feedback technology platform, 7) And finally evaluate.In this paper we outline this approach using orthopaedic rehabilitation as a specific example, however the same basic principles can be applied to many different rehabilitation groups.
    Scopus© Citations 1  175
  • Publication
    Leveraging IMU Data for Accurate Exercise Performance Classification and Musculoskeletal Injury Risk Screening
    Inertial measurement units (IMUs) are becoming increasingly prevalent as a method for low cost and portable biomechanical analysis. However, to date they have not tended to be accepted into routine clinical practice. This is often due to the disconnect between translating the data collected by the sensors into meaningful and actionable information for end users. This paper outlines the work completed by our group in attempting to achieve this. We discuss the conceptual framework involved in our work, the methodological approach taken in analysing sensor signals and discuss possible application models. The work completed by our group indicates that IMU based systems have the potential to bridge the gap between laboratory and clinical movement analysis. Future work will focus on collecting a diverse range of movement data and using more sophisticated data analysis techniques to refine systems.
      792Scopus© Citations 25
  • Publication
    The Use of Inertial Sensors for the Classification of Rehabilitation Exercises
    The benefits of exercise in rehabilitation after orthopaedic surgery or following a musculoskeletal injury has been widely established. Within a hospital or clinical environment, adherence levels to rehabilitation exercise programs are high due to the supervision of the patient during the rehabilitation process. However, adherence levels drop significantly when patients are asked to perform the program at home. This paper describes the use of simple inertial sensors for the purpose of developing a biofeedback system to monitor adherence to rehabilitation programs. The results show that a single sensor can accurately distinguish between seven commonly prescribed rehabilitation exercises with accuracies between 93% and 95%. Results also show that the use of multiple sensor units does not significantly improve results therefore suggesting that a single sensor unit can be used as an input to an exercise biofeedback system.
    Scopus© Citations 18  544
  • Publication
    An investigation into the effects of electrical muscle stimulation training in type 2 diabetes mellitus : a case study
    Exercise is a vital component in the management and prevention of type 2 diabetes mellitus (T2DM). Both the American College of Sports Medicine (ACSM) and the American Diabetes Association (ADA) advocate exercise as a treatment method for T2DM. However, given the benefits of engaging in physical activity, many T2DM patients are often unable to partake in physical activity secondary to complications of their diabetes or other musculoskeletal problems. Electrical muscle stimulation (EMS) exercise is a likely alternative for diabetic individuals who face barriers to physical activity. EMS has received much attention in recent years as a new form of inducing exercise. Banerjee and colleagues showed that prolonged EMS exercise in sedentary adults resulted in significant improvements in maximal aerobic capacity, muscle strength and capacity for physical activity.
      555
  • Publication
    The limb movement analysis of rehabilitation exercises using wearable inertial sensors
    Due to no supervision of a therapist in home based exercise programs, inertial sensor based feedback systems which can accurately assess movement repetitions are urgently required. The synchronicity and the degrees of freedom both show that one movement might resemble another movement signal which is mixed in with another not precisely defined movement. Therefore, the data and feature selections are important for movement analysis. This paper explores the data and feature selection for the limb movement analysis of rehabilitation exercises. The results highlight that the classification accuracy is very sensitive to the mount location of the sensors. The results show that the use of 2 or 3 sensor units, the combination of acceleration and gyroscope data, and the feature sets combined by the statistical feature set with another type of feature, can significantly improve the classification accuracy rates. The results illustrate that acceleration data is more effective than gyroscope data for most of the movement analysis.
    Scopus© Citations 15  275
  • Publication
    An investigation into the effects of neuromuscular electrical stimulation exercise in type 2 diabetes : a case study
    Exercise is a vital component in the management and prevention of type 2 diabetes (T2D). Both the American College of Sports Medicine (ACSM) and the American Diabetes Association (ADA) advocate exercise as a treatment method for T2D. However, given the benefits of engaging in physical activity, many T2D patients are often unable to partake in physical activity secondary to complications of their diabetes or other musculoskeletal problems. Neuromuscular electrical stimulation (NMES) exercise is a likely alternative for diabetic individuals who face barriers to physical activity. NMES has received much attention in recent years as a new form of inducing exercise. The ability of NMES to stimulate innervated muscle has resulted in it’s use as a training tool for individuals without neuromuscular pathology. Banerjee and colleagues showed that prolonged NMES exercise in sedentary adults resulted in significant improvements in maximal aerobic capacity, muscle strength and capacity for physical activity. The aim of this case study was to investigate the use of NMES exercise in T2D.
      1349