Ultra-Low Power Design of Wearable Cardiac Monitoring Systems

Abstract

Abstract-This paper presents the system-level architecture of novel ultra-low power wireless body sensor nodes (WBSNs) for real-time cardiac monitoring and analysis, and discusses the main design challenges of this new generation of medical devices. In particular, it highlights first the unsustainable energy cost incurred by the straightforward wireless streaming of raw data to external analysis servers. Then, it introduces the need for new cross-layered design methods (beyond hardware and software boundaries) to enhance the autonomy of WBSNs for ambulatory monitoring. In fact, by embedding more onboard intelligence and exploiting electrocardiogram (ECG) specific knowledge, it is possible to perform real-time compressive sensing, filtering, delineation and classification of heartbeats, while dramatically extending the battery lifetime of cardiac monitoring systems. The paper concludes by showing the results of this new approach to design ultra-low power wearable WBSNs in a real-life platform commercialized by SmartCardia. This wearable system allows a wide range of applications, including multi-lead ECG arrhythmia detection and autonomous sleep monitoring for critical scenarios, such as monitoring of the sleep state of airline pilots.

Robust Epileptic Seizure Detection on Wearable Systems with Reduced False-Alarm Rate

“…We extract a total of 54 features from each four-second EEG epoch, namely: 1) bandpower: we estimate the power spectral density (PSD) by using periodogram method [16]. The PSD estimate is used to calculate the bandpower in the following frequency bands: delta [0.5, 4] Hz, theta [4,8] Hz, alpha [8,12] Hz, beta [13,30] Hz, and gamma [30, 45] Hz. Additionally, we calculate the total power and power for [0, 0.1] Hz, [0.1, 0.5] Hz, and [12,13] Hz bands.…”

“…Specialized wearable technologies can provide a suitable solution for mobility constraints and stigma associated with EEG-systems, enabling long-term and accurate epileptic seizure monitoring based on biosignals, meanwhile hidden in inconspicuous packaging. Nevertheless, the use of resource-constrained platforms in outpatient monitoring is a challenging problem [8]. The operation in real-world is error-prone and requires considerable processing power and extended battery lifetime.…”

Bomberman modo multijugador

“…La importancia de los sistemas distribuidos puede observarse en distintos ámbitos de la Informática actualmente: desde el diseño de circuitos [13][14][15] hasta el Wearable Computing [12,16] o el Internet of Things (IoT) [18][19]. Es por ello fundamental que los alumnos aprendan y experimenten con la problemática que tales sistemas presentan.…”

Sistema domótico distribuido para controlar el riego y el aire acondicionado en el hogar

“…En el paradigma del IoT, todos los objetos de uso común están conectados a Internet de forma distribuida [15,17], de manera que pueden proporcionar o recibir información relevante para su tarea. Podemos encontrar un ejemplo reciente en los SmartWatch que, además de ofrecer lo que un reloj convencional, pueden mostrarnos mensajes de nuestro móvil, ritmo cardíaco [14,16], llamadas entrantes, etc. Otra ventaja de este enfoque, es que los objetos podrían comunicarse y coordinarse entre sí.…”