###### Abstract  
The ever-evolving landscape of healthcare demands innovative solutions, particularly in light of the global health crisis of 2020 and the aging global population. Technological advancements and new approaches in remote health monitoring systems have helped to bridge the gap for vulnerable individuals such as older adults. This review explores methods for the analysis of physiological signals using remote and intelligent systems and mobile and web-based applications, mostly linked to wearable devices, focusing primarily on the elderly population. The main objective is to identify crucial advancements in the development or integration of technology applied to addressing challenges of this magnitude. The research is structured following the PRISMA-ScR guidelines. The search strategy was implemented in databases such as the ACM Digital Library, IEEE Xplore, PubMed, Science Direct, Scopus, and Springer Link. A total of 411 articles were collected, and inclusion and exclusion criteria were applied to focus on studies published between 2020 and 2024. Ultimately, 100 articles from 35 countries were selected for data extraction. The findings reveal significant progress in remote monitoring technologies but emphasize the need for rigorous validation to ensure accuracy and reliability across diverse populations. To develop robust systems that provide equitable and high-quality healthcare, it is essential to address critical challenges such as data privacy, security, accessibility, and ethical considerations. a 202515320015320251532001  
These systems enable the real-time collection and analysis of physiological and behavioral data, facilitating proactive healthcare management and improving patient outcomes. Research has demonstrated that remote monitoring can reduce hospitalizations, enhance chronic disease management, and support independent living among elderly individuals. However, despite these promising benefits, challenges remain in terms of technological standardization, data security, ethical considerations, and user adherence, particularly among older adults with limited digital literacy. According to the World Health Organization (WHO) [1], an older adult is defined as an individual who has surpassed the average life expectancy at birth. This is typically applied to individuals aged 60 and older, based on age-specific mortality rates at a given time. The United Nations [2] similarly defines old age as 60 years or older, acknowledging the diverse needs, capabilities, and experiences of older adults, which are influenced by factors such as gender, health, income, education, and ethnicity. Furthermore, the WHO [3] (2024) reports that most of the global population now has a life expectancy of at least 60 years, and all countries are witnessing an increase in both the number and proportion of older adults. By 2050, the WHO projects that the global population aged 60 and older will reach 2.1 billion, constituting approximately 22% of the world's population [3]. The United Nations, in its \"World Social Report 2023: Leaving No One Behind in an Ageing World\", highlights that the number of people aged 80 and older is increasing at a faster rate than in those aged 65 and above. Additionally, population aging is occurring more rapidly in developing countries compared to historical trends in more developed nations [4]. Under the impact of the COVID-19 pandemic, the most vulnerable group in the population was the elderly, and biopsychosocial conditions were a determining factor in increasing their vulnerability. During the early stages of the second phase of the pandemic, the population, especially those aged 60 and above, was subjected to home confinement measures [5]. As the global population ages, there are higher levels of chronic diseases, physical disabilities, mental illnesses, and other comorbidities. This demographic shift presents challenges in adapting technological approaches to accommodate bodily limitations.