Real-Time Remote Patient Monitoring: A Review of Biosensors Integrated with Multi-Hop IoT Systems via Cloud Connectivity

Uddin, Raihan; Koo, Insoo

doi:10.3390/app14051876

Cited by 3 publications

(1 citation statement)

References 134 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The integration of wearable technology within clinical environments presents promising avenues for personalized medicine. These devices can facilitate early diagnosis, continuous remote monitoring, and customized interventions across various medical conditions [85] – [87] , [133] . Ongoing advancements in wearable technology, characterized by enhancements in sensor capabilities and algorithmic sophistication, can significantly augment healthcare professionals' capacity to evaluate and address stress-related symptoms among patients with diverse clinical profiles [86] , [87] .…”

Section: Discussionmentioning

confidence: 99%

Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices

Lazarou,

Exarchos

2024

AIMSN

View full text Add to dashboard Cite

<abstract> <p>Stress has emerged as a prominent and multifaceted health concern in contemporary society, manifesting detrimental effects on individuals' physical and mental health and well-being. The ability to accurately predict stress levels in real time holds significant promise for facilitating timely interventions and personalized stress management strategies. The increasing incidence of stress-related physical and mental health issues highlights the importance of thoroughly understanding stress prediction mechanisms. Given that stress is a contributing factor to a wide array of mental and physical health problems, objectively assessing stress is crucial for behavioral and physiological studies. While numerous studies have assessed stress levels in controlled environments, the objective evaluation of stress in everyday settings still needs to be explored, primarily due to contextual factors and limitations in self-report adherence. This short review explored the emerging field of real-time stress prediction, focusing on utilizing physiological data collected by wearable devices. Stress was examined from a comprehensive standpoint, acknowledging its effects on both physical and mental well-being. The review synthesized existing research on the development and application of stress prediction models, underscoring advancements, challenges, and future directions in this rapidly evolving domain. Emphasis was placed on examining and critically evaluating the existing research and literature on stress prediction, physiological data analysis, and wearable devices for stress monitoring. The synthesis of findings aimed to contribute to a better understanding of the potential of wearable technology in objectively assessing and predicting stress levels in real time, thereby informing the design of effective interventions and personalized stress management approaches.</p> </abstract>

show abstract

Section: Discussionmentioning

confidence: 99%

Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices

Lazarou,

Exarchos

2024

AIMSN

View full text Add to dashboard Cite

show abstract

Optimization of network topology robustness in IoTs: A systematic review

Changazi,

Bakhshi,

Yousaf

et al. 2024

Computer Networks

View full text Add to dashboard Cite

Pulse oximetry in pediatric care: Balancing advantages and limitations

Al-Beltagi,

Saeed,

Bediwy

et al. 2024

World J Clin Pediatr

View full text Add to dashboard Cite

BACKGROUND Pulse oximetry has become a cornerstone technology in healthcare, providing non-invasive monitoring of oxygen saturation levels and pulse rate. Despite its widespread use, the technology has inherent limitations and challenges that must be addressed to ensure accurate and reliable patient care. AIM To comprehensively evaluate the advantages, limitations, and challenges of pulse oximetry in clinical practice, as well as to propose recommendations for optimizing its use. METHODS A systematic literature review was conducted to identify studies related to pulse oximetry and its applications in various clinical settings. Relevant articles were selected based on predefined inclusion and exclusion criteria, and data were synthesized to provide a comprehensive overview of the topic. RESULTS Pulse oximetry offers numerous advantages, including non-invasiveness, real-time feedback, portability, and cost-effectiveness. However, several limitations and challenges were identified, including motion artifacts, poor peripheral perfusion, ambient light interference, and patient-specific factors such as skin pigmentation and hemoglobin variants. Recommendations for optimizing pulse oximetry use include technological advancements, education and training initiatives, quality assurance protocols, and interdisciplinary collaboration. CONCLUSION Pulse oximetry is crucial in modern healthcare, offering invaluable insights into patients’ oxygenation status. Despite its limitations, pulse oximetry remains an indispensable tool for monitoring patients in diverse clinical settings. By implementing the recommendations outlined in this review, healthcare providers can enhance the effectiveness, accessibility, and safety of pulse oximetry monitoring, ultimately improving patient outcomes and quality of care.

show abstract

Real-Time Remote Patient Monitoring: A Review of Biosensors Integrated with Multi-Hop IoT Systems via Cloud Connectivity

Cited by 3 publications

References 134 publications

Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices

Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices

Optimization of network topology robustness in IoTs: A systematic review

Pulse oximetry in pediatric care: Balancing advantages and limitations

Contact Info

Product

Resources

About