scispace - formally typeset
Search or ask a question

What role do wearable sensors play? 


Best insight from top research papers

Wearable sensors play a crucial role in monitoring various physiological parameters, such as heart rate variability, breathing rate, and oxygen saturation, to identify early biomarkers for promoting healthy lifestyle changes and assisting clinicians in objective patient monitoring . These sensors have evolved to provide real-time health data, enabling personalized healthcare through high precision, continuous monitoring, and comfort . They offer a cost-effective and convenient alternative to traditional healthcare methods, potentially revolutionizing the industry by allowing for inexpensive and convenient health monitoring . Wearable devices, ranging from smartwatches to tattoo-like sensors, have demonstrated effectiveness in early disease detection and monitoring, including conditions like COVID-19 and Parkinson's disease, by capturing biophysical signals . Additionally, wearable sensors are instrumental in analyzing human kinetic characteristics, calculating joint data, and linking it to movement patterns to prevent joint diseases and improve device functionality.

Answers from top 5 papers

More filters
Papers (5)Insight
Open accessJournal ArticleDOI
Zihao Huang, Junan Li, Jiakun Lian 
01 Jan 2022-Journal of physics
4 Citations
Wearable sensors play a crucial role in analyzing human kinetic characteristics, aiding in sports, medical applications, joint data calculation, and improving wearable device functionality.
Wearable sensors play a crucial role in real-time monitoring of physiological information, disease detection, and health status recording, offering non-invasive and continuous data collection for diagnostics and treatment.
Open accessJournal ArticleDOI
Aaron P. Smith, Rui Li, Zion Tsz Ho Tse 
3 Citations
Wearable sensors play a crucial role in monitoring health in real-time, providing personalized care through high-precision data collection, analysis, and feedback to users for improved healthcare outcomes.
Wearable sensors play a crucial role in promoting health and wellness by enabling reliable and longitudinal monitoring of physiological, physical, and biochemical parameters for lifestyle improvements and clinical support.
Wearable sensors play a pivotal role in revolutionizing healthcare by enabling convenient and cost-effective monitoring of vital health indicators, shifting from traditional methods to advanced technological solutions.

Related Questions

What are Wearables?5 answersWearables refer to small portable electronic devices equipped with sensors that can record various health-related data such as step count, activity profile, ECG, heart rate, and oxygen saturation. These devices play a significant role in fields like rheumatology, multiple sclerosis, and performance arts, offering opportunities for prevention, disease monitoring, treatment, and artistic expression. Wearables are increasingly utilized to measure movement patterns, joint mobility, and physiological parameters over extended periods, providing valuable insights into daily physical activity, cardiorespiratory biomarkers, and disability levels. Moreover, wearables are seen as tools that can enhance individual health, reduce healthcare costs, and improve societal well-being, making them promising assets for personal and occupational health management.
What is the benefit of sensor-based wearable devices in human activity recognition compare to image-based devices?5 answersSensor-based wearable devices offer several benefits in human activity recognition compared to image-based devices. Firstly, wearable sensors such as accelerometers and gyroscopes provide effective and versatile usage in various fields like smart homes and medical areas. These sensors can capture raw signals from smartphones and wearable devices, allowing for the acquisition of high-level knowledge without the need for pre-processing. Additionally, wearable sensors attached to the body enable the tracking of human activities in real-time, providing valuable data for activity recognition and monitoring. Moreover, the use of sensor-based wearable devices allows for the development of personalized and context-aware activity recognition models, aiding individuals in multiple contexts like sports and healthcare. Overall, sensor-based wearable devices offer a convenient and privacy-preserving approach to human activity recognition, making them a promising area of research in artificial intelligence.
Whats the importance of applying ai in wearable sensors3 answersThe application of AI in wearable sensors is important for several reasons. Firstly, AI technology enhances the effectiveness of healthcare by utilizing sensors to monitor behavior and gather up-to-date environmental information. This allows for more accurate disease detection and timely answers in healthcare prediction systems. Secondly, AI algorithms used in wearable sensors can provide better treatment and accuracy in healthcare, particularly for psychological disorders. Thirdly, AI techniques, combined with wearable sensors, enable the transformation of healthcare service delivery from a traditional hospital-centered model to a personal-portable-device-centered model. This intelligent framework with automated solutions allows clinicians to assess patients' general health and make informed clinical decisions. Overall, the application of AI in wearable sensors improves healthcare outcomes by providing better monitoring, detection, and treatment capabilities.
What is wearable sensors?5 answersWearable sensors are pioneering devices that monitor physical and biological parameters for health monitoring systems. These sensors are compact, lightweight, and can be worn on the body. They utilize different sensing principles such as surface-enhanced Raman scattering, colorimetric, fluorescence, plasmonic, photoplethysmography, and interferometric-based sensors. Plastic optical fiber (POF) is a suitable medium for developing wearable sensors due to its immunity to electromagnetic interference. Wearable sensors offer continuous and early disease diagnosis, and they can monitor parameters like body temperature, muscle motion, heart rate, blood pressure, and biomarkers in biofluids. They have applications in personalized point-of-care testing (POCT) devices, soft robotics, human-machine interfaces, electronic skin, body movement tracking, and remote health monitoring. Future challenges include understanding the interaction between target sample concentrations in blood and non-invasive biofluids and incorporating wearable sensors with Internet of Things (IoT) for self-healthcare.
What are the visionary applications of wearable sensing?5 answersWearable sensing has visionary applications in various fields. In the medical and health fields, wearable sensors can monitor physiological signals, evaluate body movement, and assess an individual's physical performance and health status. Wearable technology advancements have led to the design of monitoring devices for real-time analyte monitoring. Wearable technologies provide a non-invasive way to monitor user activity, identity, and health in real-time, expanding the functionalities and sensing domains of traditional sensors. Wearable sensing technologies have also been used for near real-time collection and analysis of workers' safety and health data. In the context of the COVID-19 pandemic, wearable devices have been explored for monitoring populations at risk, detecting the disease, and facilitating remote monitoring and diagnosis. These visionary applications of wearable sensing have the potential to revolutionize healthcare, improve safety, and enhance disease prevention and management.
How can wearable sensors be used to improve athletic performance?3 answersWearable sensors can be used to improve athletic performance by providing real-time and non-invasive monitoring of biomechanical, physiological, and biochemical parameters relevant to athletes. These sensors enable the collection of data that can be analyzed using machine learning and artificial intelligence models to make accurate and efficient decisions regarding the health, safety, and performance of athletes. They can track and monitor vital signs, joint range of motion, heart rate, breathing rate, and other physiological parameters, allowing athletes to objectively assess their performance and movements. Wearable sensors can also be used to measure reactive strength index (RSI), which indicates a person's ability for rapid movement, and can be used to track improvements in performance. Additionally, wearable sensors can be used to monitor body movements during specific athletic activities, such as measuring joint angles during jumping exercises or tracking shoulder and elbow motion during a volleyball serve. Overall, wearable sensors provide valuable data that can help athletes optimize their training, prevent injuries, and enhance their performance.

See what other people are reading

How does the process of learning contribute to the development of resilience in individuals?
5 answers
The process of learning plays a crucial role in fostering resilience in individuals. Learning-to-cope sessions have been shown to protect against behavioral deficits and reduce stress responses in monkeys and mice, highlighting the impact of training on resilience development. In healthcare, understanding learning mechanisms and establishing foundational principles are essential for adapting and improving patient care, emphasizing the significance of learning from both positive and negative events. Moreover, in experiential education, incorporating reflection, stress management strategies, and professional socialization into intern experiences can enhance students' resilience and mental well-being. Education focused on deeper learning, local sustainability, and systems thinking can further strengthen resilience by fostering responsible citizenship and environmental awareness.
How has the integration of artificial intelligence (AI) impacted the education system in the Philippines?
4 answers
The integration of Artificial Intelligence (AI) in the Philippine education system has brought about significant advancements and challenges. AI in Education (AIED) has facilitated enhanced learning experiences, data-driven decision-making, and improved teaching methods. However, challenges such as the need for robust technological infrastructure, addressing data privacy concerns, and providing ongoing faculty training exist. The utilization of AI tools and technologies in education has shown promise in improving teaching, learning, student assistance, and management processes. Additionally, the implementation of AI-enabled Quality Management Systems (QMS) in Higher Education Institutions (HEIs) has demonstrated the potential to streamline quality audits and enhance accreditation compliance. Overall, the systematic integration of AI in the education system aims to overcome challenges and enhance the efficiency of teachers while meeting diverse learner requirements.
Is there a connection betwen c ultural competencies (cultural intellegince) and decent work/or working conditions?
5 answers
Cultural intelligence (CQ) plays a significant role in various work environments, impacting both individuals and organizations. Studies highlight that high CQ leads to better interpersonal relationships and work performance in culturally diverse settings. Additionally, practitioners with higher CQ levels experience reduced burnout, emphasizing the importance of cultural intelligence in maintaining well-being at work. Furthermore, the concept of decent work, as outlined in the United Nations' Sustainable Development Goals, is crucial for ensuring safe and comfortable working conditions. By enhancing cultural competencies, individuals can contribute to creating more inclusive and supportive work environments, aligning with the principles of decent work and improving overall job satisfaction and productivity.
What is the common causes of high CRP?
4 answers
High CRP levels can stem from various causes. Infections are a prevalent factor, with a study showing that infections were the leading cause of elevated CRP levels, followed by rheumatologic diseases, malignancy, and other inflammatory conditions. Additionally, obesity, overweight, and weight gain throughout adulthood are significant determinants of high CRP levels, particularly in women. Furthermore, systemic inflammation markers like CRP can be predictive of coronary heart disease events, with high CRP levels often associated with traditional CHD risk factors such as obesity, overweight, and diabetes. Notably, in connective tissue disorders like SLE, while ESR levels are high, CRP levels tend to remain normal, showcasing the complexity of CRP responses in different conditions.
How does exposure to intimate violence impact of children in mother's perspective?
5 answers
Exposure to intimate partner violence (IPV) impacts children significantly from the mother's perspective. Studies show that mothers often underestimate their children's exposure to IPV compared to their own victimization experiences. Discrepancies in reporting between mothers and children regarding the child's IPV exposure can lead to varied outcomes in children's externalizing symptoms. Additionally, perinatal IPV is found to be pervasive and consequential, affecting women's ability to parent and impacting their children, although mothers may not fully comprehend the extent of the impact on their children. Furthermore, children exposed to IPV suffer from various detrimental consequences, including mental and physical health issues, poor academic performance, and even fatality. Understanding these dynamics is crucial for effective intervention and support to mitigate the adverse effects of IPV on children.
How is albumin and CRP associated?
4 answers
Albumin and CRP (C-reactive protein) are closely associated in various medical conditions. The CRP/albumin ratio (CAR) has emerged as a valuable marker in different health scenarios. Studies have shown that elevated CAR levels are linked to increased severity and poorer outcomes in COVID-19 patients, indicating its potential as a prognostic indicator. Furthermore, in neonatal sepsis, a higher CRP/albumin ratio was significantly associated with Gram-negative bacterial sepsis, suggesting its role in predicting specific types of infections. Additionally, in the context of venous thromboembolism (VTE), elevated CAR levels were found to be associated with a higher risk of VTE, highlighting its potential as a risk indicator for this condition. Moreover, elevated CAR levels have also been linked to an increased risk of pneumonia, emphasizing its role as a predictor for inflammatory conditions like pneumonia.
How budgeting influences decision-making in the pharmaceutical industry?
5 answers
Budgeting plays a crucial role in decision-making within the pharmaceutical industry.Budget impact analyses help decision-makers understand the total costs involved in drug reimbursement decisions, considering reallocation of resources and opportunity costs.In the context of Industry 4.0, budgeting effectiveness gains importance amidst technological disruptions like Big Data Analytics and artificial intelligence, influencing organizational performance and managerial control in pharmaceutical companies.The healthcare budget in countries like South Africa determines pharmaceutical expenditure, ensuring medicine availability while considering factors like disease burden and historical expenditure.Scientifically-based approaches to setting advertising budgets are essential, as suboptimal decisions can hinder the benefits of advertisement campaigns in the pharmaceutical sector.Overall, budgeting influences decision-making by guiding resource allocation, improving efficiency, and ensuring optimal financial planning in the pharmaceutical industry.
Is noam chomsky right about LLM's?
5 answers
Noam Chomsky's views on Large Language Models (LLMs) are not directly addressed in the provided contexts. However, Chomsky's emphasis on intellectuals resisting national power interests aligns with the concerns raised in the contexts about LLMs' blind adherence to instructions and potential risks of malicious use. The contexts highlight LLMs' impressive capabilities in various tasks, such as replicating human-like behavior in crowdsourcing tasks, comprehending complex instructions, and interacting with users through conversation. Despite their strengths, challenges exist, such as the need for user interaction data for optimal performance in tasks like user rating prediction and the limitations of current censorship mechanisms in controlling LLM outputs. Chomsky's critical stance on power dynamics and intellectual responsibilities resonates with the ongoing discussions surrounding the ethical implications and potential risks associated with LLMs.
How effective are mobile Veterinary Clinics in Delivering Preventive Healthcare Services to Livestock Farmers?
4 answers
Mobile Veterinary Clinics have shown significant effectiveness in delivering preventive healthcare services to livestock farmers. Studies highlight the importance of accessible veterinary services, which can be challenging in remote areas. Community Animal Health Centres (CAHCs) have notably reduced travel distances, increased access, and lowered costs for animal health services, leading to improved livestock health and productivity. Additionally, utilizing social media platforms like WhatsApp for advisory services has shown favorable attitudes among farmers, enhancing timely information sharing on animal health issues. Addressing constraints such as lack of diagnostic tools and treatment materials, budget shortages, and farmer-related issues can further enhance the quality of veterinary service delivery. Integrating mobile clinics with technology and community-based initiatives can effectively bridge the gap in delivering preventive healthcare services to livestock farmers.
What aspects do tourists care about the most in a destination?
4 answers
Tourists prioritize various aspects when choosing a destination. Destination brand experience (DBE) plays a crucial role in creating emotional ties and satisfaction, influencing visitors' attachment to natural areas. Social media platforms like Instagram significantly impact tourists' destination choices, with photo attractiveness and content trustworthiness being key factors. Additionally, affective and subjective variables such as experience quality and emotions are increasingly important in shaping tourist satisfaction. Destination image factors like attractiveness, uniqueness, and local acceptance significantly influence overall satisfaction and loyalty among tourists. These findings highlight the significance of DBE, social media content, emotional experiences, and destination image in shaping tourists' preferences and satisfaction levels.
What makes Florida an attractive destination for tourists?
4 answers
Florida's allure to tourists stems from its diverse attractions and unique characteristics. The state's rich history of tourism, from natural springs in the 19th century to the modern-day appeal of Walt Disney World, has contributed to its mystique and popularity among visitors. Florida's heavy reliance on carbon-heavy transport modes contrasts with the innovative Brightline project, a private rail link between Miami and Orlando, showcasing the state's evolving mobility practices and commitment to sustainable tourism. Additionally, Florida's use of tourist development taxes reflects a strategic approach to funding local tourism initiatives, further enhancing its appeal to visitors. Social media data analysis has also revealed that Florida's tourism benefits from positive perceptions shared on platforms like Twitter, highlighting the role of electronic word-of-mouth in destination branding efforts.