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To aid efforts for the total elimination of malaria, effective and fast diagnosis of cases must be done. The gold standard for malaria diagnosis is microscopy. This process becomes problematic when cases are in far-flung rural areas as experts may not ...

Wearable and connected health is a dominant field in the era of the Internet of Things (IoT). Indeed, Body Sensor Networks (BSNs) have been widely used for enabling many connected health applications in diverse areas including: activity recognition, ...

The Internet Of Things (IoT) is poised to make substantial inroads in all aspects of modern life before the end of this decade, including applications in smart grids, smart cities, transportation, crowdsensing, e-health, ambient assisted living, and ...

Wearable devices for fitness tracking and health monitoring have gained considerable popularity and become one of the fastest growing smart devices market. More and more companies are offering integrated health and activity monitoring solutions for ...

Smartphones and other mobile platforms provide a low cost and easily accessible method of monitoring patient health, and aid healthcare professionals in early detection of disease. Immediate access to the gathered data is an essential factor in ...

This paper presents a scheduling algorithm for point to point wireless power transfer system (WPTS) to sensor nodes of wireless body area networks (WBAN). Since the sensors of wireless body area networks are continuously monitoring and sending data to ...

The revolution of smart devices has a significant and positive impact on the lives of many people, especially in regard to elements of healthcare. In part, this revolution is attributed to technological advances that enable individuals to wear and use ...

The increasing prevalence of diagnosed diabetes has drawn attentions of researchers in recently years. Research has been done in finding the correlations between diabetes prevalence with socioeconomic factors, obesity, social behaviors and so on. Since ...

Chest radiography (chest X-ray) is a low-cost yet effective and widely used medical imaging procedures. The lacking of qualified radiologist seriously limits the applicability of the technique. We explore the possibility of designing a computer-aided ...

We propose an effect size based approach to compute initial dissimilarities for Ensemble Algorithm of Clustering Cancer Data (EACCD). The proposed method is applied to the colon cancer data from the Surveillance, Epidemiology, and End Results (SEER) ...

Type 1 diabetic patients present large variability reducing dramatically the ability to achieve adequate blood glucose control. Lifestyle and physiological factors highly impact their treatments which require some predictive capabilities to prevent as ...

In this paper we introduce a distributed approach to storing and processing electronic health records along with a distributed insurance claims clearinghouse. The fundamental assumption governing our work is that every system can and will be compromised,...

Gesture recognition derived from skeletal data plays an important role in our TaiChi rehabilitation training and evaluation system. This paper investigates an extended-Kalman-filter-based preprocessing method to fix those incomplete and inconsistent ...

In this paper, we present the design of a wearable photoplethysmography (PPG) system, R-band for acquiring the PPG signals. PPG signals are influenced by the respiration or breathing process and hence can be used for estimation of respiration rate. R-...

Patient identification is crucial in providing proper care in hospitals or other care-facilities. Failure to correctly identify patients can result in a variety of problems such as medication errors, transfusion errors, testing errors, and duplication ...

In-home IoT devices play a major role in healthcare systems as smart personal assistants. They usually come with a voice-enabled feature to add an extra level of usability and convenience to elderly, disabled people, and patients. In this paper, we ...

Medical sensors are usually attached to or implanted inside patient body. Since medical diagnosis and treatment are a complicated procedure, multiple sensors in Body Area Networks (BAN) often need to form a group to share the measurements during the ...

The synthesis of technology and the medical industry has partly contributed to the increasing interest in Medical Cyber-Physical Systems (MCPS). While these systems provide benefits to patients and professionals, they also introduce new attack vectors ...

Medical Cyber Physical Systems (MCPS) are life-critical networked systems of medical devices. These systems are increasingly used in hospitals to provide high-quality healthcare for patients. However, MCPS also bring concerns about security and safety ...

Node authentication is essential in wireless body area network (WBAN), as the data collected in the WBAN is important and closely related to the personal privacy especially in the health applications. Traditional authentication solutions usually require ...

The basic necessity of sleep in our life is critically important to ensure our wellbeing. Sufficient sleep of good quality is highly desired in order to have enough energy to live. One of the main factors to measure sleep quality is the amount of body ...

Pediatric asthma is a prevalent chronic disease condition that can benefit from wireless health systems through constant symptom management. In this paper, we propose a smart watch based wireless health system that incorporates wireless sensing and ...

Advances in sensing, wireless communication, and data analytics have enabled various monitoring systems for smart health applications. However, many challenges remain to deploy such systems in actual homes, such as achieving robustness, unobtrusiveness, ...

DAVE is a comprehensive set of event detection techniques to monitor and detect 5 important verbal agitations: asking for help, verbal sexual advances, questions, cursing, and talking with repetitive sentences. The novelty of DAVE includes combining ...

Reliable occluded skeletal posture estimation is a fundamentally challenging problem for vision-based monitoring techniques. This is due to several imaging related challenges introduced by existing depth-based pose estimation techniques that fail to ...

Premature neonates frequently need to spend several weeks or months in a Neonatal Intensive Care Unit (NICU). These neonates will experience a significant amount of pain, stress and discomfort during their hospital stay due to various medical ...

Predictive modeling is fundamental in transforming large clinical data sets into actionable knowledge which can guide clinical decision making and personalized medicine. Although several studies have merged data mining techniques with statistical ...

As our population ages, neurological impairments and degeneration of the musculoskeletal system yield gait abnormalities, which can significantly reduce quality of life. Gait rehabilitative therapy has been widely adopted to help patients maximize ...

Genomic data is being produced rapidly by both individuals and enterprises and needs to be outsourced from local machines to a cloud for better flexibility. Outsourcing also eliminates the local storage management problem for data owners. However, ...

The increasing adoption of electronic health record (EHR) systems has brought tremendous opportunities in medicine enabling more personalized prognostic models. However, most work to date has investigated the binary classification problem for predicting ...