Titlebook: Wireless Mobile Communication and Healthcare; 9th EAI Internationa Juan Ye,Michael J. O‘Grady,Kristina Yordanova Conference proceedings 202

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Understanding E-Mental Health for People with Depression: An Evaluation Studys, including self-monitoring and self-management, are becoming increasingly important to offer e-mental health treatment and to support the recovery of people affected. SELFPASS is such an application designed for the individual therapy of patients suffering from depression. To gain more insights, t

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Evaluating Memory and Cognition via a Wearable EEG System: A Preliminary Studyon. In this respect, the current study examines the application of a wearable single-channel EEG to the interpretation of cognitive operations reflecting memory processes. For this purpose, we implemented a set of tasks for evaluating the participants’ processing skills and memory efficiency, in ord

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Towards Mobile-Based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of T outside of a laboratory setting by means of mobile EEG systems. Brain imaging has been pivotal in understanding the neurobiological correlates of human behavior in many complex disorders. This is also the case for tinnitus, a disorder that causes phantom noise sensations in the ears in absence of a

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Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Networknd analyzed physiological and behavioral wearable sensor data from shift working nurses and doctors, as well as their behavioral questionnaire data and their self-reported daily health and wellbeing labels, including alertness, happiness, energy, health, and stress. We found the similarities and dif

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Bayesian Inference Federated Learning for Heart Rate Prediction devices measure heart rate, which accurately reflects the intensity of physical exercise. Therefore, heart rate prediction from wearable devices benefits users with optimization of the training process. Conventionally, Cloud collects user data from wearable devices and conducts inference. However,

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Design of a Mobile-Based Neurological Assessment Tool for Aging Populationsce in daily life. Therefore, it is necessary that these devices and their interactions are usable by individuals with diverse abilities and conditions. This paper assesses the usability of a neurocognitive assessment application by individuals with Parkinson’s Disease (PD) and proposes a design that

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Improving Patient Throughput by Streamlining the Surgical Care-Pathway Processicating and sharing information, in relation to the current state of a patient’s care, as they travel through the surgical care-path way. The surgical care-pathway typically starts at admissions and finishes as the patient is leaving recovery. The problem being, as a patient navigates the care-pathw