Publications by authors named "Bruno Bonnechere"

: Knee osteoarthritis (OA) is a common and debilitating condition affecting older adults, often progressing to advanced stages and requiring total joint replacement. Exercise therapy is widely recognized as the first-line approach for the prevention and initial management of OA. This systematic review assessed the effectiveness of home-based exercises (HBEs) compared to supervised exercises in alleviating pain and reducing disability among patients with knee OA.

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Rehabilitation science has evolved significantly with the integration of technology-supported interventions, offering objective assessments, personalized programs, and real-time feedback for patients. Despite these advances, challenges remain in fully addressing the complexities of human recovery through the rehabilitation process. Over the last few years, there has been a growing interest in the application of biomimetics to inspire technological innovation.

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Article Synopsis
  • - The study aimed to identify unique clinical phenotypes of hip osteoarthritis (OA) using a biopsychosocial approach, analyzing data from 143 individuals awaiting total hip arthroplasty.
  • - Researchers assessed various factors, including demographics, pain-related thoughts, mental health, social support, and pain/disability measures to classify participants into two clinical phenotypes: maladaptive and adaptive.
  • - The maladaptive phenotype (34% of participants) was characterized by higher comorbidities, anxiety, and pain-related fears, leading to increased levels of pain and disability; this classification method has an accuracy of 87.8%, aiding in the development of personalized treatment plans.
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In this perspective paper, we propose a novel tech-driven method to evaluate body representations (BRs) in autistic individuals. Our goal is to deepen understanding of this complex condition by gaining continuous and real-time insights through digital phenotyping into the behavior of autistic adults. Our innovative method combines cross-sectional and longitudinal data gathering techniques to investigate and identify digital phenotypes related to BRs in autistic adults, diverging from traditional approaches.

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 Physical functioning can be increased in people with stroke by using a mobile health application. This study aimed to investigate the feasibility of a 10-week community-based program using the WalkWithMe (WWM) application in people with late sub-acute and chronic stroke in Benin. An interventional pilot study with mixed methods research design was used examining the application of an unsupervised individualized mobile Health (mHealth) instructed training program.

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Sickle-cell Disease (SCD) is a major public health problem in Africa, and there are significant obstacles to its comprehensive management, particularly in terms of access to appropriate healthcare. This calls for inventive approaches to improve patients' prospects. Among the major challenges to be met are the primary and secondary prevention of certain serious complications associated with the disease, such as neurocognitive, motor and respiratory functional disorders.

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Objective: This review aimed to investigate the effectiveness of mHealth-supported active exercise interventions to reduce pain intensity and disability level in persons with hip or knee osteoarthritis (OA).

Data Sources: Three databases (PubMed, Cochrane Library, and Web of Science) were systematically searched for randomized controlled trials (RCTs) published between January 1, 2012 and July 31, 2023. PROSPERO registration number of this review was CRD42023394119.

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Article Synopsis
  • Stroke is the second leading cause of death globally and can severely affect survivors' upper limb function, necessitating effective rehabilitation.
  • Immersive virtual reality (IVR) is emerging as a viable alternative for rehabilitation services, with a systematic review analyzing 25 publications on IVR systems designed for upper limb recovery in stroke patients.
  • Key findings include the predominant use of Unity 3D and C# for app development, the Oculus Quest headset being most common, and the need for future research in assessing game effectiveness, integrating hardware/software, and incorporating biofeedback for improved rehabilitation outcomes.
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: This study investigated vaso-occlusive crises (VOCs) in sickle cell disease in Lubumbashi, Democratic Republic of Congo, aiming to understand the disease complexities amidst limited resources. With sickle cell hemoglobinopathies on the rise in sub-Saharan Africa, this nine-year study explored factors associated with VOCs and hematological components. : This study comprised 838 patients, analyzing VOCs and hematological changes over time.

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Aims: To develop and validate equations predicting heart rate (HR) at the first and second ventilatory thresholds (VTs) and an optimized range-adjusted prescription for patients with cardiometabolic disease (CMD). To compare their performance against guideline-based exercise intensity domains.

Methods And Results: Cross-sectional study involving 2868 CMD patients from nine countries.

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The past few decades have witnessed an unprecedented surge in health-related mobile applications. However, most of these applications primarily focus on lifestyle domains such as sleep, fitness, and nutrition. A notable stride in this landscape involves the emergence of applications catering specifically to rehabilitation needs.

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Osteoarthritis (OA) poses a growing challenge for the aging population, especially in the hip and knee joints, contributing significantly to disability and societal costs. Exploring the integration of wearable technology, this study addresses the limitations of traditional rehabilitation assessments in capturing real-world experiences and dynamic variations. Specifically, it focuses on continuously monitoring physical activity in hip and knee OA patients using automated unsupervised evaluations within the rehabilitation process.

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The COVID-19 pandemic has led to a substantial revolution in the incorporation of digital solutions in healthcare. This systematic review investigates the enduring physical and psychological consequences individuals experience up to two years post-recovery. Additionally, it focuses on examining the influence of mHealth interventions on these effects.

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Sickle cell disease (SCD) is a significant health burden in the Democratic Republic of the Congo (DRC). This study aims to identify predictive factors of mortality in SCD children admitted to emergency care in Lubumbashi, DRC. We performed a non-interventional cohort follow-up on SCD patients aged 0 to 16 admitted for a "true emergency".

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Rehabilitation is a vital component of health care, aiming to restore function and improve the well-being of individuals with disabilities or injuries. Nevertheless, the rehabilitation process is often likened to a " black box ," with complexities that pose challenges for comprehensive analysis and optimization. The emergence of large language models offers promising solutions to better understand this " black box .

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Telemonitoring and telerehabilitation have shown promise in delivering individualized healthcare remotely. We introduce STASISM, a sensor-based telerehabilitation and telemonitoring system, in this work. This platform has been created to facilitate individualized telerehabilitation and telemonitoring for those who need rehabilitation or ongoing monitoring.

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Background: Physical activity (PA) has wide-ranging, and well documented benefits for older adults, encompassing physical, cognitive, and mental well-being. The World Health Organization advocates for a minimum of 150-300 min of moderate intensity PA per week, supplemented by muscle-strengthening exercises. However, the rates of PA among older adults remain a concern.

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Purpose: The aim of this systematic review was primarily to identify the types of mHealth technologies for the rehabilitation of non-specific spinal disorders, second to evaluate their efficacy, and finally to determine their applicability in LMICs.

Methods: Three databases (Scopus, PubMed, and Web of Science) were searched for randomized controlled trials and clinical trials from January 2012 until December 2022. Studies were found eligible when using mHealth technologies for the rehabilitation of non-specific spinal disorders.

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Introduction: Spatiotemporal gait parameters, e.g., gait stride length, are measurements that are classically derived from instrumented gait analysis.

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Introduction: The number of people with dementia and stroke is increasing worldwide. There is increasing evidence that there are clinically relevant genetic differences across ethnicities. This study aims to quantify risk factors of dementia, stroke, and mortality in Asian and black participants compared to whites.

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