After long-term exploration, it has been well established for the mechanisms of electrocardiogram (ECG) in health monitoring of cardiovascular system. Within the frame of an intelligent home healthcare system, our research group is devoted to researching/developing various mobile health monitoring systems, including the smart ECG interpreter. Hence, in this paper, we introduce a fuzzy classifie...

This chapter is focused on the analysis and classification of arrhythmias. An arrhythmia is any cardiac pace that is not the typical sinusoidal one due to alterations in the formation and/or transportation of the impulses. In pathological conditions, the depolarization process can be initiated outside the sinoatrial (SA) node and several kinds of extra-systolic or ectopic beatings can appear. B...

Today, intelligent machines interact and collaborate with humans in a way that demands a greater level of trust between human andmachine. A first step towards building intelligent machines that are capable of building and maintaining trust with humans is the design of a sensor that will enable machines to estimate human trust level in real-time. In this paper, two approaches for developing clas...

Developments in drones have opened new trends and opportunities different fields, particularly small drones. Drones provide interlocation services for navigation, this interlink is provided by the Internet of Things (IoT). However, architectural issues make drone networks vulnerable to privacy security threats. It critical a safe secure network acquire desired performance. Small are finding pat...

Detection of intrusions in Internet Things networks is essential to maintain the availability and integrity data generated transmitted by connected devices. Such a procedure paramount when originate from critical activities, such as military, financial, industrial, health sectors. In last decades, machine learning (ML)-based approaches have become one most suitable adopted procedures for task, ...

Similar to intelligent multicellular neural networks controlling human brains, even single cells, surprisingly, are able to make intelligent decisions to classify several external stimuli or to associate them. This happens because of the fact that gene regulatory networks can perform as perceptrons, simple intelligent schemes known from studies on Artificial Intelligence. We study the role of g...

Intelligent environment research has resulted in many useful tools such as activity recognition, prediction, and automation. However, most of these techniques have been applied in the context of a single resident. A current looming issue for intelligent environment systems is performing these same techniques when multiple residents are present in the environment. In this paper we investigate th...