Publications by authors named "Aileen Gabriel"

Prostate cancer (PC) is one of the leading causes of cancer-related mortality among men. Androgen Deprivation Therapy (ADT) has been shown to increase survival in men with metastatic PC. Despite its efficacy, ADT's long-term use adversely impacts quality of life (QoL) due to multiple side effects.

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Recent advancements in computing have led to the development of artificial intelligence (AI) enabled healthcare technologies. AI-assisted clinical decision support (CDS) integrated into electronic health records (EHR) was demonstrated to have a significant potential to improve clinical care. With the rapid proliferation of AI-assisted CDS, came the realization that a lack of careful consideration of socio-technical issues surrounding the implementation and maintenance of these tools can result in unanticipated consequences, missed opportunities, and suboptimal uptake of these potentially useful technologies.

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Background: Immersive virtual reality (VR) is a promising therapy to improve the experience of patients with critical illness and may help avoid postdischarge functional impairments. However, the determinants of interest and usability may vary locally and reports of uptake in the literature are variable.

Objective: The aim of this mixed methods feasibility study was to assess the acceptability and potential utility of immersive VR in critically ill patients at a single institution.

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Chronic obstructive pulmonary disease (COPD) is a global health issue causing significant illness and death. Pulmonary Rehabilitation (PR) offers non-pharmacological treatment, including education, exercise, and psychological support which was shown to improve clinical outcomes. In both stable COPD and after an acute exacerbation, PR has been demonstrated to increase exercise capacity, decrease dyspnea, and enhance quality of life.

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The study was aimed at exploring patients' experiences after the completion of a 12-month pulmonary telerehabilitation (PR) program. Semi-structured qualitative interviews were conducted with 16 COPD patients. The interviews were analyzed using a thematic approach to identify patterns and themes.

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This research aimed to develop a model for real-time prediction of aerobic exercise exertion levels. ECG signals were registered during 16-minute cycling exercises. Perceived ratings of exertion (RPE) were collected each minute from the study participants.

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This study aims to develop machine learning (ML) algorithms to predict exercise exertion levels using physiological parameters collected from wearable devices. Real-time ECG, oxygen saturation, pulse rate, and revolutions per minute (RPM) data were collected at three intensity levels during a 16-minute cycling exercise. Parallel to this, throughout each exercise session, the study subjects' ratings of perceived exertion (RPE) were gathered once per minute.

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Barriers to pulmonary rehabilitation (PR) (e.g., finances, mobility, and lack of awareness about the benefits of PR).

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The objective of this study was to evaluate the attitudes, beliefs, and perspectives of patients diagnosed with Chronic Obstructive Pulmonary Disease (COPD) while using a virtual reality (VR) system supporting a home-based pulmonary rehabilitation (PR) program. Patients with a history of COPD exacerbations were asked to use a VR app for home-based PR and then undergo semi-structured qualitative interviews to provide their feedback on using the VR app. The mean age of the patients was 72±9 years ranging between 55 and 84 years old.

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The real-time revolutions per minute (RPM) data, ECG signal, pulse rate, and oxygen saturation levels were collected during 16-minute cycling exercises. In parallel, ratings of perceived exertion (RPE) were collected each minute from the study participants. A 2-minute moving window, with one minute shift, was applied to each 16-minute exercise session to divide it into a total of fifteen 2-minute windows.

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Cancer-related physical impairments and functional decline affect most patients receiving chemotherapy. Despite evidence that exercise can improve these symptoms, access to exercise-based rehabilitation for cancer patients is limited. Providing telerehabilitation services has shown promising results in alleviating these barriers to access.

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Article Synopsis
  • The study focused on creating machine learning algorithms to classify cycling exercise exertion levels using data from wearable devices.
  • The minimum redundancy maximum relevance algorithm (mRMR) was used to select the most effective features for the classification.
  • Among five machine learning classifiers tested, the Naïve Bayes classifier achieved the highest accuracy with an F1 score of 79%, indicating potential for real-time monitoring of exercise intensity.
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To effectively develop patient-centered interfaces and functionality, it is essential to investigate different viewpoints on pulmonary telerehabilitation. The purpose of this study is to explore the views and experiences of COPD patients after the completion of a 12-month home-based pulmonary telerehabilitation program. Semi-structured qualitative interviews were conducted with 15 COPD patients.

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Background: Negative stress significantly impacts major depressive disorder (MDD), given the shared brain circuitry between the stress response and mood. Thus, interventions that target this circuitry will have an important impact on MDD. The aim of this study was to evaluate the acute effects of a novel respiratory-gated auricular vagal afferent nerve stimulation (RAVANS) technique in the modulation of brain activity and connectivity in women with MDD in response to negative stressful stimuli.

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Transcutaneous stimulation of the auricular branch of the vagus nerve (ABVN) has been proposed as a non-invasive alternative to vagus nerve stimulation (VNS). However, its cardiovagal effects are inconsistent across studies, likely due to inhomogeneity in the stimulation parameters. Here, we evaluate respiratory-gated ABVN stimulation (Respiratory-gated Auricular Vagal Afferent Nerve Stimulation, RAVANS), where the stimuli are delivered in 1 s bursts during the exhalation phase of respiration, thus mimicking the breathing-induced modulation of cardiac vagal activity.

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