RESUMEN
PURPOSE: The COVID-19 pandemic and its transition into an endemic phase have profoundly impacted physical health, well-being, mental health, education, and various aspects of society, including the economy and social networks. Home confinement, social distancing, and physical inactivity have exacerbated numerous health issues, including obesity, diabetes mellitus, hypertension, hyperlipidemia, cardiovascular diseases, depression, and poor sleep quality. A systematic review has revealed significant findings: Regular aerobic programs (such as cycling or walking at an intensity of 60-80% of HR max for 20-60 minutes per session, repeated 2-3 times a week) have proven effective in improving both physical and mental health, as well as immune function. This type of physical activity has been shown to increase immunological markers, including lymphocytes, leukocytes, neutrophils, monocytes, and interleukin-6 (IL-6), while reducing low-grade inflammation. Therefore, in this study we aimed to assess the impact of tailored exercise interventions on the physical and mental health of COVID-19 patients. Based on the results, we can establish exercise intervention strategies to mitigate the negative health consequences during and after the COVID-19 pandemic. METHODS: We conducted a search of the PubMed database from January 2020 to August 2023 using predefined search terms such as "COVID-19 and post-COVID-19," "exercise intervention and immunity," and "mental health." By examining references, we explored the links between exercise interventions and the mental and physical health of COVID-19 patients. RESULTS: A tailored, multifaceted exercise intervention should be developed and implemented to address the existing mental challenges and enhance mental health during both the pandemic and the post-COVID-19 periods. CONCLUSION: Breathing exercises and respiratory support techniques, including yoga, thoracic expansion exercises, airway clearance methods, and breathing control, are likely to be beneficial.
RESUMEN
OBJECTIVE: The objectives of this study were to design and develop an open-circuit electromagnetic resonant skin patch sensor, characterize the fluid volume and resonant frequency relationship, and investigate the sensor's ability to measure limb hemodynamics and pulse volume waveform features. METHODS: The skin patch was designed from an open-circuit electromagnetic resonant sensor comprised of a single baseline trace of copper configured into a square planar spiral which had a self-resonating response when excited by an external radio frequency sweep. Using a human arm phantom with a realistic vascular network, the sensor's performance to measure limb hemodynamics was evaluated. RESULTS: The sensor was able to measure pulsatile blood flow which registered as shifts in the sensor's resonant frequencies. The time-varying waveform pattern of the resonant frequency displayed a systolic upstroke, a systolic peak, a dicrotic notch, and a diastolic down stroke. The resonant frequency waveform features and peak systolic time were validated against ultrasound pulse wave Doppler. A statistical correlation analysis revealed a strong correlation () between the resonant sensor peak systolic time and the pulse wave Doppler peak systolic time. CONCLUSION: The sensor was able to detect pulsatile flow, identify hemodynamic waveform features, and measure heart rate with 98% accuracy. SIGNIFICANCE: The open-circuit resonant sensor design leverages the architecture of a thin planar spiral which is passive (does not require batteries), robust and lightweight (does not have electrical components or electrical connections), and may be able to wirelessly monitor cardiovascular health and limb hemodynamics.