Cooperative sensors: a new wired body-sensor-network approach for wearable biopotential measurement
Journal Title: EAI Endorsed Transactions on Collaborative Computing - Year 2016, Vol 2, Issue 7
Abstract
Cooperative sensors are a novel measurement architecture based on active dry electrodes that allows the acquisition of biopotential signals (e.g., electrocardiogram, ECG) on patients in a comfortable and easy-to-integrate manner. This paper starts by analyzing the classical methods for measuring multilead ECG signals. Based on these classical methods, we then briefly introduce the concept of cooperative sensors and show how these sensors can be implemented in a wearable and reliable system that measures ECG signals in a real-life scenario. The main focus and innovation presented in this paper is on the duplex communication between the cooperative sensors. In addition, we show a first measurement of an ECG signal with cooperative sensors.
Authors and Affiliations
Michael Rapin, Josias Wacker, Olivier Chételat
Keywords
Related Articles
- EP ID EP45710
- DOI http://dx.doi.org/10.4108/eai.14-10-2015.2261683
- Views 273
- Downloads 0
Cooperative sensors: a new wired body-sensor-network approach for wearable biopotential measurement
Cooperative sensors are a novel measurement architecture based on active dry electrodes that allows the acquisition of biopotential signals (e.g., electrocardiogram, ECG) on patients in a comfortable and easy-to-integrat...
A Highly Concurrent Replicated Data Structure EAI Endorsed Transactions
Well defined concurrent replicated data structure is very important to design collaborative editing system, particularly, certain properties like out-of-order execution of concurrent operations and data convergence. In t...
A Tuple Space for Data Sharing in Robot Swarms
In this paper, we present a system to allow a swarm of robots to agree on a set of (key,value) pairs. This system enables a form of information sharing that has the potential to be an asset for coordination in complex en...
Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach
This paper focuses on a multi-agent cooperation which is generally difficult to be achieved without sufficient information of other agents, and proposes the reinforcement learning method that introduces an internal rewar...
Designing Behaviour in Bio-inspired Robots Using Associative Topologies of Spiking-Neural-Networks
This study explores the design and control of the behaviour of agents and robots using simple circuits of spiking neurons and Spike Timing Dependent Plasticity (STDP) as a mechanism of associative and unsupervised learni...