Publications by authors named "I Diemberger"
Cardiac implantable electronic devices infections (CIEDI) are associated with poor survival despite the improvement in transvenous lead extraction (TLE). Aetiology and systemic involvement are driving factors of clinical outcomes. The aim of this study was to explore their contribute on overall mortality.
View Article and Find Full Text PDFBackground: Atrial fibrillation (AF) is the most common arrhythmia diagnosed at an older age. AF is associated with frailty, a condition possibly justifying the higher rate of complications and mortality in aged individuals. This study was aimed at describing the characteristics correlated to frailty in older AF subjects.
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- Wild-type transthyretin amyloidosis (ATTRwt amyloidosis) is increasingly diagnosed in younger patients and women, despite being more common in elderly men.* -
- In a study with 1,251 patients, the average time from symptom onset to diagnosis was about 2 years, with women under 70 experiencing the longest delays.* -
- The study found that while men made up most of the patients, the proportion of women increased with age, and many patients showed significant functional impairment regardless of their age.*
Article Synopsis
- Wearable electronics, like the YouCare device, are becoming popular for health monitoring, capable of recording ECG signals continuously without the need for user initiation by embedding leads in garments.
- A study compared ECG data from the YouCare garment with a conventional Holter monitor in 30 patients and found that the YouCare device provided a good quality of ECG signals and was mostly synchronized with the Holter monitor.
- Patients reported that the YouCare device was significantly more comfortable than the Holter monitor, indicating a preference for the garment-based approach in health monitoring.
Article Synopsis
- Wearable devices are emerging as a cost-effective alternative to traditional medical devices for monitoring ECG signals remotely, but they face challenges like signal artifacts that can lead to unusable data.
- A new real-time algorithm was developed and tested to assess the quality of ECG signals, achieving high accuracy compared to expert cardiologists' evaluations.
- This algorithm shows about 95% efficiency in classifying ECG signal quality, which could significantly enhance real-time monitoring and enable users to address issues immediately.