Post-acute sequelae of SARS-CoV-2 (PASC) is defined as persistent symptoms after apparent recovery from acute COVID-19 infection, also known long-haul. We performed a retrospective review electronic health records (EHR) the University California COvid Research Data Set (UC CORDS), de-identified EHR PCR-confirmed SARS-CoV-2-positive patients in California. The purposes were to (1) describe prevalence PASC, (2) and symptom clusters, (3) identify risk factors for PASC. subjected non-negative...

Abstract Emerging data suggest that the effects of infection with SARS-CoV-2 are far reaching extending beyond those severe acute disease. Specifically, presence persistent symptoms after apparent resolution from COVID-19 have frequently been reported throughout pandemic by individuals labeled as “long-haulers”. The purpose this study was to assess for at days 0-10 and 61+ among subjects PCR-confirmed infection. University California COvid Research Data Set (UC CORDS) used identify 1407...

Online social networks play a major role in modern societies, and they have shaped the way relationships evolve. Link prediction has many potential applications such as recommending new items to users, friendship suggestion discovering spurious connections. Many real evolve connections multiple layers (e.g. networking platforms). In this article, we study link problem multiplex networks. As an example, consider network of Twitter (as microblogging service) Foursquare location-based network)....

Background Assessment of sleep quality is essential to address poor and understand changes. Owing the advances in Internet Things wearable technologies, monitoring under free-living conditions has become feasible practicable. Smart rings smartwatches can be employed perform mid- or long-term home-based monitoring. However, validity such wearables should investigated terms parameters. Sleep validation studies are mostly limited short-term laboratory tests; there a need for study assess...

Technology enables the continuous monitoring of personal health parameter data during pregnancy regardless disruption normal daily life patterns. Our research group has established a project investigating usefulness an Internet Things-based system and smartwatch technology for women to explore variations in stress, physical activity sleep. The aim this study was examine patterns well-being pregnant before national stay-at-home restrictions related COVID-19 pandemic Finland.A longitudinal...

Physiological response is an automatic reaction that triggers a physical to stimulus such as stress, emotion, pain, etc. Examples include changes in heart rate, respiration, perspiration, and eye pupil dilation. Electrodermal Activity (EDA), also known Galvanic Skin Response (GSR), measures perspiration by detecting the electrical conductivity of skin. Previous studies have already shown EDA one leading indicators for stimulus. However, signal itself not trivial analyze. To detect different...

Continuous monitoring of blood pressure (BP) can help individuals manage their chronic diseases such as hypertension, requiring non-invasive measurement methods in free-living conditions. Recent approaches fuse Photoplethys-mograph (PPG) and electrocardiographic (ECG) signals using different machine deep learning to non-invasively estimate BP; however, they fail reconstruct the complete signal, leading less accurate models. In this paper, we propose a cycle generative adversarial network...

The stress detection problem is receiving great attention in related research communities. This due to its essential part behavioral studies for many serious health problems and physical illnesses. There are different methods algorithms using physiological signals. Previous have already shown that Galvanic Skin Response (GSR), also known as Electrodermal Activity (EDA), one of the leading indicators stress. However, GSR signal itself not trivial analyze. Different features extracted from...

The world has been affected by COVID-19 coronavirus. At the time of this study, number infected people in United States is highest globally (31.2 million infections). Within population, patients diagnosed with acute respiratory distress syndrome (ARDS) are more life-threatening circumstances, resulting severe system failure. Various studies have investigated infections to and ARDS monitoring laboratory metrics symptoms. Unfortunately, these methods merely limited clinical settings,...

The COVID-19 pandemic has affected virtually every region in the world. At time of this study, number daily new cases United States was greater than that any other country, and trend increasing most states. Google Trends provides data regarding public interest various topics during different periods. Analyzing these trends using mining methods may provide useful insights observations outbreak.The objective study is to consider predictive ability search terms not directly related with regard...

The physical and emotional well-being of women is critical for healthy pregnancy birth outcomes. Two Happy Hearts intervention a personalized mind-body program coached by community health workers that includes monitoring reflecting on personal health, as well practicing stress management strategies such mindful breathing movement.

Unlike parallel robots, for which hundreds of different architectures have been proposed, the vast majority six-degree-of-freedom (DOF) serial robots one two simple architectures.In both architectures, inverse kinematics can be solved in closed form and singularities described by trivial geometric algebraic conditions.These conditions readily obtained analyzing determinant robot's Jacobian matrix, provide an in-depth understanding singularities, is essential its optimal use.However, various...

Background: The health benefits of regular physical activity (PA) are well-established and widely acknowledged. Through the integration wearable trackers, Internet Things (IoT)—a network interconnected devices capable collecting exchanging data—coupled with mobile (mHealth), which refers to use support medical public practices, it is now feasible systematically gather present individual exercise behaviors. This advanced approach enables precise correlation users' physiological data daily...

Mobile devices have access to personal, potentially sensitive data, and there is a growing number of applications that transmit this personally identifiable information (PII) over the network. In paper, we present AntShield system performs on-device packet-level monitoring detects transmission such accurately in real-time. A key insight distinguish PII predefined easily available on device from unknown priori but can be automatically detected by classifiers. Our not only combines, for first...

Abstract Background Daily monitoring of stress is a critical component maintaining optimal physical and mental health. Physiological signals contextual information have recently emerged as promising indicators for detecting instances heightened stress. Nonetheless, developing real-time system that utilizes both physiological data to anticipate levels in everyday settings while also gathering labels from participants represents significant challenge. Objective We present objectively tracks...

Complex Internet of Things (IoT) applications such as Healthcare IoT include a variety compute, data, and communication kernel intensities have diverse sensitivities QoS requirements including latency, throughput, availability, accuracy, etc. Ensuring for the requires comprehensive tool to perform efficient full-stack analysis. Per our observation, literature lacks simulator capable supporting communication-computation co-simulation an system. Furthermore, system behavior can dramatically...

Pregnancy is a challenging time for maintaining quality sleep and managing stress. Digital self-monitoring technologies are popular because of assumed increased patient engagement leading to an impact on health outcomes. However, the actual association between wear such devices improved sleep/stress outcomes remains untested. Here, descriptive comparative pilot study 20 pregnant women was conducted examine associations (behavioral engagement) pregnancy Women used ring fitted their finger...

Physical activity (PA) confers numerous benefits to health and care costs, yet most adults are not meeting recommended PA guidelines. Stress may be a factor that influences behavior. Research investigating the impact of stress on has yielded inconsistent findings. Most studies find negatively impacts PA, but there is some evidence habitual exercising buffers this association.This study aims examine relationship between exercise habits among exercisers with internet-connected home fitness...

Addressing security misconfiguration in complex distributed systems, such as networked Industrial Control Systems (ICS) and Internet of Things (IoT) is challenging. Owners operators must go beyond tuning parameters individual components consider the implications configuration changes on entire systems. Given growing scale cyber this task be highly automated. Unfortunately, prior work errors has largely ignored impact configurations connected components. To address gap, we present SCIBORG, a...

In this paper, a method to mimic human face and eyes is proposed which can be regarded as combination of computer vision techniques neural network concepts. From mechanical standpoint, 3-DOF spherical parallel robot used imitates the head movement. what concerns eye movement, 2-DOF mechanism attached end-effector mechanism. order have robust reliable results for imitation, meaningful information should extracted from mesh obtaining pose face, i.e., roll, yaw, pitch angles. To end, two...

IoT applications demand higher Quality of Experience (QoE) to deliver satisfactory services the end-users. Variable user behavior, diverse application requirements, and dynamic system constraints exacerbate QoE delivery challenge. Situational-awareness encapsulates at user, application, levels, quantifiably reflecting dynamics. Such models can manage diversity among multiple layers stack while improving QoE. In this paper, we investigate set requirements opportunities in edge paradigm that...

Daily monitoring of stress is a critical component maintaining optimal physical and mental health. Physiological signals contextual information have recently emerged as promising indicators for detecting instances heightened stress. Nonetheless, developing real-time system that utilizes both physiological data to anticipate levels in everyday settings while also gathering labels from participants represents significant challenge. We present objectively tracks daily by utilizing daily-life...