Integration of UHF RFID and WSN technologies in healthcare systems

Catarinucci, Luca; Donno, Danilo De; Mainetti, Luca; Palano, L.; Patrono, Luigi; Stefanizzi, Maria Laura; Tarricone, Luciano

doi:10.1109/rfid-ta.2014.6934245

Cited by 18 publications

(11 citation statements)

References 28 publications

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“…A smart system using active UHF RFID, WSN, and GSM for real-time supervision of patients is presented and discussed in [22]. An interesting attempt that aims to combine and integrate, at physical layer, heterogeneous technologies, adopt the RESTful paradigm and Push Notifications, and manage alert events in a smart hospital is reported in our prior work [23]. More in depth, it describes a smart system based on UHF RFID and ZigBee-based WSN solutions for the automatic monitoring and tracking of patients within hospitals.…”

Section: Related Workmentioning

confidence: 99%

An IoT-Aware Architecture for Smart Healthcare Systems

Catarinucci

Donno

Mainetti

et al. 2015

IEEE Internet Things J.

968

365

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Over the last few years, the convincing forward steps in the development of Internet-of-Things (IoT) enabling solutions are spurring the advent of novel and fascinating applications. Among others, mainly Radio Frequency Identification (RFID), Wireless Sensor Network (WSN), and smart mobile technologies are leading this evolutionary trend.In the wake of this tendency, this paper proposes a novel, IoTaware, smart architecture for automatic monitoring and tracking of patients, personnel, and biomedical devices within hospitals and nursing institutes. Staying true to the IoT vision, we propose a Smart Hospital System (SHS) which relies on different, yet complementary, technologies, specifically RFID, WSN, and smart mobile, interoperating with each other through a CoAP/6LoWPAN/REST network infrastructure. The SHS is able to collect, in real time, both environmental conditions and patients' physiological parameters via an ultra-low-power Hybrid Sensing Network (HSN) composed of 6LoWPAN nodes integrating UHF RFID functionalities. Sensed data are delivered to a control center where an advanced monitoring application makes them easily accessible by both local and remote users via a REST web service. The simple proof of concept implemented to validate the proposed SHS has highlighted a number of key capabilities and aspects of novelty which represent a significant step forward compared to the actual state of art. support and improve healthcare and biomedical-related processes [2]. Automatic identification and tracking of people and biomedical devices in hospitals, correct drug-patient associations, real-time monitoring of patients' physiological parameters for early detection of clinical deterioration are only a few of the possible examples.Among others, Ultra-High-Frequency (UHF) Radio Frequency Identification (RFID), Wireless Sensor Network (WSN), and smart mobile represent three of the most promising technologies enabling the implementation of smart healthcare systems. RFID is a low-cost, low-power technology consisting of passive and/or battery-assisted passive (BAP) devices, named tags, which are able to transmit data when powered by the electromagnetic field generated by an interrogator, named reader. Since passive RFID tags do not need a source of energy to operate, their lifetime can be measured in decades, thus making the RFID technology well suited in a variety of application scenarios, including the healthcare one [3]- [5]. The recent availability of UHF RFID tags with increased capabilities, e.g. sensing and computation [6]-[8], represents a further added value. In fact, RFID-based sensing in healthcare enables zero-power, low-cost, and easyto-implement monitoring and transmission of patients' physiological parameters. Nevertheless, the main drawback of RFID tags stems from the fact that they can operate solely under the reader coverage region, i.e. up to 15 m and 25 m when respectively fully-passive and BAP tags are used. Clearly, such an aspect limits the use of UHF RFID technology to object/patient identific...

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Section: Related Workmentioning

confidence: 99%

An IoT-Aware Architecture for Smart Healthcare Systems

Catarinucci

Donno

Mainetti

et al. 2015

IEEE Internet Things J.

968

365

View full text Add to dashboard Cite

show abstract

“…The structure of the CNN generally contains these layers (Figure 3) 29–33 : Input layer: input for data. Convolution layer: feature extraction and feature mapping using convolution nucleus. Excitation layer: since convolution is also a linear operation, nonlinear mapping needs to be increased. Pooled layer: under sampling, sparse processing of feature maps, reduce the amount of data computing. Full connection layer: usually refitting at the tail of CNN to reduce the loss of feature information. Convolution neural network algorithm process: The output value of each neuron is calculated forward (representing the first neuron of the network, the same as below); The error term of each neuron is calculated in reverse, and is also called sensitivity in some literatures. It is actually the bias of the loss function of the network on the neuron‐weighted input. Calculate the gradient of each neuron connection weight (represents the weight of the neuron i connection to neuron). Finally, update each weight according to the gradient fall law. …”

Section: Design Of Sports Injury Medical System Based On Iotmentioning

confidence: 99%

Research and optimization of sports injury medical system under the background of Internet of things

2020

Trans Emerging Tel Tech

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With the popularization of Internet of things (IoT) knowledge and the wide dissemination of technology, IoT technology medical and health industry has brought far-reaching influence. This article studies the application of IoT technology in sports injury medical system, and expounds the application of telemedicine, mobile diagnosis, and user data management in medical system supported by IoT technology. First, the application layer, network layer, and perceptual layer structure of the IoT are used to plan the overall hierarchy of the sports injury medical system, and then the system is divided into three modules, which are the user physiological parameter acquisition module, the user physiological parameter processing module, and the motion damage diagnosis result module. Finally, the performance of the system is detected from packet loss rate and concurrency quantity, and it is concluded that the medical system of sports injury can meet the requirements of field diagnosis based on the background of IoT, and the user's satisfaction is found to be greatly improved by the results of user's investigation. 1 INTRODUCTION The so-called Internet of things (IoT) refers to a variety of information sensing equipment, such as RFID devices, infrared sensors, global positioning system, laser scanners, and other equipment implanted in a variety of items, and then the realization of intelligent items. 1-3 Combine these information sensing devices with the Internet to form a vast network of interconnection and information sharing between objects, computers and people. For medical units, the application of IoT technology will vigorously promote the development of hospital information, but also the trend of future development, in the continuous improvement of medical procedures, improve the quality of medical care, to ensure the safety of patients, the realization of telemedicine, special population health care, strengthen medical device management, drug security, and many other aspects will play an extremely important role. 4-6 At the end of 2008, Korea introduced the concept of "smart healthcare," 7,8 which envisages the introduction of IoT related technologies in the medical field, the interconnection, sharing, collaboration, and public health prevention of medical information, and believes that IoT technology will be more widely used in medical platforms, electronic health file systems, and other fields. The European Commission 8 launched an IoT strategy in the form of a policy article, proposing to give Europe a global lead in the development of intelligent Internet-based infrastructure, and to invest billion euros through R&D programs to launch a number of related R&D projects, in addition to improving the level of network intelligence, more billion euros a year over the years to further strengthen R&D efforts, while allocating billion euros to the construction of IoT related short-term projects, including medical related projects. In addition, different scholars have also

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“…Paper [5] describes to improve the efficiency of medical gadget. Based on IOT technology monitoring the patient's sign parameters which uses the different protocol and RFID to identify physiological conditions, UHRFID is used and must be implement to every patient to make this system local access only.…”

Section: Related Workmentioning

confidence: 99%

Wireless Wearable Smart Healthcare Monitoring using Android

Mahadevaswamy¹

2018

IJCNIS

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Abstract-The healthcare monitoring system is very useful for the old age people, cardiac vascular endues and many others for observing vital parameters like blood pressure, heart rate, pulse rate, body temperature etc. The proposed work utilizes 8bit X-Mega2560 microcontroller with an application created for overseers and hospital to constantly watch the patient's parameters from their home, hospitals etc. The proposed system senses the vital parameters of the patients and sends an alert message to respective caretakers, through Wi-Fi which utilizes COAP conventions. These models are integrated to a simple arduino uno microcontroller to exhibit different functionalities. The system will reduce the cost, empowering the patients who are not able to consult the doctors for diagnosis and also minimize the patient's transportations. This system will bridge the gap between patient and doctor in real time.

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Integration of UHF RFID and WSN technologies in healthcare systems

Cited by 18 publications

References 28 publications

An IoT-Aware Architecture for Smart Healthcare Systems

An IoT-Aware Architecture for Smart Healthcare Systems

Research and optimization of sports injury medical system under the background of Internet of things

Wireless Wearable Smart Healthcare Monitoring using Android

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