![]() ![]() Digital health, or mobile health (mHealth), is gradually transforming the clinical management of chronic diseases, such as diabetes mellitus and heart diseases, which require close and continuous monitoring between clinical visits, as well as fostering telehealth that is accelerated in the era of COVID-19. The field is further accelerated by the development of big data service platforms that provide the infrastructure for large-scale data storage and analysis. The last decade has witnessed a rapid expansion in the field of digital health, driven by the burgeoning portable and wearable sensor technologies, medical devices based on Internet of Things (IoT), and advancement in big data analytics through AI and machine learning. Conclusions: Our findings help improve the time alignment of multimodal signals in digital health and advance healthcare toward precise remote monitoring and disease prevention. The lowest synchronization delay achieved by the algorithm is 0.13 s with the integration of SQI thresholding. Results: The proposed approach requires a short sample duration (30 s) to operate, and demonstrates stable performance across varying sampling rates and resilience to common noise. The algorithm was evaluated considering key practical factors, including sample durations, signal quality index (SQI), resilience to noise, and varying sampling rates. The approach was tested on a public electrocardiographic (ECG) dataset to simulate the synchronization of signals collected from an ECG watch and an ECG patch. Methods: We proposed a simple time alignment approach based on the direct cross-correlation of temporal amplitudes, making it agnostic and thus generalizable to different signal types. The present study aims to complement previous algorithms and solve a niche time alignment problem when a common signal type is available across different devices. Existing algorithms mainly rely on specific physiological features that restrict the use cases to certain signal types. Try disabling or modifying VPN or firewall, whatever is limiting Signal’s connection to the internet.Background: Despite advancements in digital health, it remains challenging to obtain precise time synchronization of multimodal physiological signals collected through different devices. If that doesn’t solve the problem, see if a firewall or VPN is causing the issue. ![]() You will find permissions allowed to Signal in Android Settings > Apps and Notifications > Signal > App Permissions. If your message is stuck with the sending status and is not being delivered or you are not receiving messages, the first thing you need to do is check if the app has the necessary permissions to run the app. Not able to send or receive messages on Signal? Select ‘Reset Secure session’ and this will fix the issue.Tap on the menu icon in the top right corner.Go to the chat where you are getting the “Out of Sync” error.On Android if you see "Bad encrypted message," tap the menu in the top-right & tap "Reset secure session." On iOS tap the "Reset Session" button below "Received message was out of sync." The errors do not affect chat security & will be automatically fixed in the next app update. ![]()
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