Now showing 1 - 5 of 5
  • Publication
    An interactive exercise biofeedback Android application utilizing a single inertial measurement unit to support joint replacement rehabilitation
    Boomerang Ortho is an Android application developed with the aim to better support patients in their exercise rehabilitation program following total knee replacement. The use of a single inertial measurement unit (IMU) attached to the lower leg allows for classification of exercise technique, real-time biofeedback, and both self and remote monitoring of patient data. The prototype application for demonstration is currently undergoing pilot testing prior to an assessment of impact on clinical outcome.
  • Publication
    Patient Involvement With Home-Based Exercise Programs: Can Connected Health Interventions Influence Adherence?
    Adherence to home exercise in rehabilitation is a significant problem, with estimates of nonadherence as high as 50%, potentially having a detrimental effect on clinical outcomes. In this viewpoint, we discuss the many reasons why patients may not adhere to a prescribed exercise program and explore how connected health technologies have the ability to offer numerous interventions to enhance adherence; however, it is hard to judge the efficacy of these interventions without a robust measurement tool. We highlight how well-designed connected health technologies, such as the use of mobile devices, including mobile phones and tablets, as well as inertial measurement units, provide us with the opportunity to better support the patient and clinician, with a data-driven approach that incorporates features designed to increase adherence to exercise such as coaching, self-monitoring and education, as well as remotely monitor adherence rates more objectively.
      671Scopus© Citations 165
  • Publication
    Fit for life after cancer: Does exercise timing matter?
    Objectives: To assess the effects of a single exercise session per week for 6 weeks on quality of life (QoL), fatigue and exercise participation in male and female cancer survivors with follow-up at 6 months. A secondary aim was to identify if the timing of exercise delivery determined its effect. Methods: An exploratory prospective cohort study design was implemented. Twenty-five patients undergoing or who had completed cancer treatment (11 active treatment; 14 completed treatment) undertook exercise and educational sessions (Fit for Life) 1×/week. The Brief Fatigue Inventory (BFI), the European Organisation for Research and Treatment of Cancer QoL C-30 (EORTC QLQ C-30) and the Godin Leisure Time Exercise Questionnaire (GLTEQ) were used to assess fatigue, QoL and exercise levels, respectively. Participants were evaluated before and after the intervention, and after 6 months. Results: There was a significant group × time interaction for the GLTEQ at 6 months post in favour of exercising during active treatment (p=0.01). No other group × time interactions were observed across the EORTC QLQ C-30 or BFI. There was a significant main effect for time for EORTC QLQ C-30 Global with a significant increase observed between pre and 6 months post. Conclusions: Exercise 1×/week delivered during treatment may impact on long-term exercise participation in adult cancer survivors. This lower volume programme may improve QoL, but has minimal effect on fatigue suggesting an insufficient exercise dosage to impact this variable. This study generates interesting proof of concept results and may be helpful in the development of larger randomised controlled trials.
      422Scopus© Citations 3
  • Publication
    Conceptualising a Targeted Rehabilitation Exercise Biofeedback System for a Cancer Survivorship Population
    Introduction The increased prevalence of cancer survivors requires a focus on developing long-term, cost-effective management strategies to prevent and limit disability and morbidity. Background Cancer survivors with pain, weakness and restricted movement often benefit from targeted exercise programmes provided by a Physiotherapist. Physical, psychological and situational factors can impact on patients abilities to complete these exercises. In recent years, interactive biofeedback exercise systems have been shown to be effective in the rehabilitation of musculoskeletal impairments. Such a system has not yet been developed for cancer survivors. Proposal An targeted rehabilitation exercise biofeedback system for use in cancer survivors is proposed. This system aims to enhance rehabilitation outcomes using biofeedback, gamification and adherence promotion strategies. Conclusion An online targeted-exercise biofeedback system for use in cancer rehabilitation would be an innovative, beneficial development for the growing numbers of individuals surviving cancer.
  • Publication
    The Importance of Real-World Validation of Machine Learning Systems in Wearable Exercise Biofeedback Platforms: A Case Study
    Machine learning models are being utilized to provide wearable sensor-based exercise biofeedback to patients undertaking physical therapy. However, most systems are validated at a technical level using lab-based cross validation approaches. These results do not necessarily reflect the performance levels that patients and clinicians can expect in the real-world environment. This study aimed to conduct a thorough evaluation of an example wearable exercise biofeedback system from laboratory testing through to clinical validation in the target setting, illustrating the importance of context when validating such systems. Each of the various components of the system were evaluated independently, and then in combination as the system is designed to be deployed. The results show a reduction in overall system accuracy between lab-based cross validation (>94%), testing on healthy participants (n = 10) in the target setting (>75%), through to test data collected from the clinical cohort (n = 11) (>59%). This study illustrates that the reliance on lab-based validation approaches may be misleading key stakeholders in the inertial sensor-based exercise biofeedback sector, makes recommendations for clinicians, developers and researchers, and discusses factors that may influence system performance at each stage of evaluation.
      17Scopus© Citations 6