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We developed a low cost floor-based personnel detection system, we call a smart carpet, which consists of a sensor pad placed under a carpet, the electronics reads walking activity to provide an automated health monitoring and alert system. We extended the functionalities of the smart carpet to improve its ability to detect falls, alert health care personnel, estimate gait parameters, and count number...
Emerging Internet of Things represents a paradigm shift in our understanding of modern communication networks. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications having far reaching consequences for all aspects of human life. In particular Internet of Things revolution is transforming the modern connected healthcare. However,...
We perform an extensive study of medical applications that will potentially execute on the Internet of Medical Things (IoMT), from an edge computing perspective. Using this study, we perform a workload characterization of potential IoMT applications and explore the microarchitecture implications of these applications. Our study includes workloads spanning a variety of medical applications including...
In order to notify users about potentially unsafe situations and to track mistakes or efficiency performing activities, it is important to monitor the quality of performing an activity and identify the missing/wrong steps. However, the state-of-the-art activity recognition frameworks ignore such details and impose constraints on sensor values, the types of detected activities (no parallel/interleaved/joint...
A large amount of information is continuously generated in intensive health care. An analysis of these data streams can supply valuable insights to improve the monitoring of the patients. The volume, frequency and complexity of data, which come unlabeled, make their analysis a challenging task. Machine learning (ML) techniques have been successfully employed for mining data streams to extract useful...
Nowadays, a lot of older people suffering from chronic diseases, such as diabetes, hypertension, heart disease and sleep apnea which require constant monitoring of certain health parameters of patients which sometimes, does not exist only in the hospital. This work presents a model design for observing with testing the vital signs of the patients depend on sensors and web services. A proposed monitoring...
Healthcare is one of important factors for persons to keep their happiness during daily life. In order to maintaining good health conditions, daily continuous health monitoring is effective to find small symptoms before causing severe conditions. In this study, wearable, healthcare sensor sheets are proposed to monitor health conditions and activity, simultaneously, consisted of a skin temperature...
Ambient Assistive Living (AAL) applications allow elderly people to maintain a healthy life style and live longer in their homes. In this paper we describe a platform that combine physical exercises, health monitoring with a reminder component implemented as a multimodal interface adapted to elderly needs for maintaining a healthy lifestyle for elderly people.
Mobile health monitoring technology has the potential to bring a doctor’s office to the patient’s smartphone. In this context, we consider an end-to-end soft real-time out-ofhospital use-case that concerns transmission of patient ECG data from ST BodyGateway pulse sensor via an Android device (Patient App) to a Cloud server for ECG analysis and annotation and then to another Android device (Doctor...
During the last decade the integration of smart devices into humans' lives has witnessed an exponential increase. This has led to a new paradigm namely Cyber-Physical-Social Systems (CPSS) which consists of cyber components (computer systems) physical components (controlled objects) and social components (humans and their interactions). Although social components are playing a main role in CPSS their...
The Internet of Things (IoT) changes many sectors of our lives. In the healthcare domain, IoT presents as mobile medical applications over various sensors that update healthcare professionals on patients' health information. However, IoT-based healthcare systems also face major challenges in protecting patients' privacy via an effective access control system. This paper presents an ambient home solution...
Internet of Things extends to the objects and the sensors with computing capability and connectivity and affects all our life domains: technical, social or economic. These components are not usually considered computers, however they allow fetching and exchanging data. This paper presents an approach to implement a smart wearable system based on the AT Mega 32U4 microcontroller, which is capable to...
A three-lead electrocardiogram acquisition system is constructed with an analog front-end circuit (ADS1293), a microprocessor (MSP430X), and a personal phone or computer. The acquired three-lead (namely, Lead I, Lead II, and Lead V1) ECG data can not only be displayed on a personal computer by a MATLAB simulator but can also be stored in the cloud.
Multi-channel module heart rate and EMG clinical human-computer interaction system was using Wi-Fi mobile network transmission of physiological signals. With Grove-EMG, you can send a general physiological signal to a mobile device. System achieved real-time monitoring function for the monitoring of a number of physiological data to monitor the integrity of the monitoring. Hospital Network We uploads...
Traditionally, distributed computing concentrates on computation understood at the level of information exchange and sets aside human and organizational concerns as largely to be handled in an ad hoc manner. Increasingly, however, distributed applications involve multiple loci of autonomy. Research in multiagent systems (MAS) addresses autonomy by drawing on concepts and techniques from artificial...
This paper presents the experimental part for discrete time signal acquisition in case of respiration rate monitoring using analog flexible sensor. The hardware part for physiological monitoring consists in ARDUINO shield and a flexible tubular sensor connected with electrodes. The analog signals are generated by resistance parameter vary through a tubular semiconductor when this is stretched. It...
With the continuous growing of aging population, the society is facing new challenges, namely the implementation of healthcare services for older people, as well as the promotion of the active aging and well-being. These challenges imply the optimization of these services through biomedical, physical, psychological and socio-environmental interventions. ICT technologies can support the implementation...
In the context of demographic ageing the Ambient Assisted Living is a priority approach in healthcare for elderly, with health monitoring (HM) as a central activity. The Cloud-IoT architecture integrates cloud computing and Internet of Things technologies to highlight the advantages derived from their complementarities. The sensing service is aimed at improving the sensor data accessibility and usage...
The paradigm of health care delivery is slowly aligning with the needs and habits of modern patients. Mobile computing may be a solution to respond to the growing trend and need for health care sharing and collaboration, enabling the redesign of processes giving rise to new models of health care delivery. Seeking to determine the situation in Portugal regarding mobile computing initiatives in this...
Understanding the learning strategies conceived by self-directed learners has become a major challenge to be found in contexts supported by sub-domains of learning. For this objective to be achieved it is necessary to understand the different approaches that dimension the phenomenon, to explore the technologies created for this purpose and to discuss the results and limitations obtained through the...
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