Hardware design and software development of a motion control and driving system for transradial prosthesis based on a wireless myoelectric armband

Gaetani, Federico; Primiceri, Patrizio; Zappatore, Giovanni Antonio; Visconti, Paolo

doi:10.1049/iet-smt.2018.5108

Cited by 21 publications

(23 citation statements)

References 11 publications

(16 reference statements)

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“…Indication about the muscle mass are obtained through an EMG sensor connected to the Arduino Nano board, that is the MyoWare Muscle Sensor board by Advancer Technologies, Raleigh, NC, USA (Figure 2c) [29,30,31]. The MyoWare Muscle Sensor measures, filters, rectifies, and amplifies the electrical activity of a muscle and produces an analog output signal that can easily be read by the microcontroller.…”

Section: Methodsmentioning

confidence: 99%

An Innovative AAL System Based on IoT Technologies for Patients with Sarcopenia

Addante

Gaetani²,

Patrono

et al. 2019

Sensors

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Sarcopenia is a highly prevalent, age-related muscle disorder associated with adverse outcomes. It is very important from a medical point of view to periodically monitor patients at risk of developing sarcopenia in order to early detect its onset or progression through objective and specific indicators. Today, the emerging Internet of Things (IoT)-enabling technologies allow us to create innovative, wearable, and non-invasive systems that can offer useful clinical support in this area. This work is focused on the use of combined hardware and software technologies, enabling the IoT, in order to monitor people suffering from sarcopenia by offering a high value-added service in the field of the Ambient Assisted Living (AAL). In addition to the description of the proposed system architecture, a validation of the entire system is also included, from both a performance and a functional point of view. Test beds have been carried out by using the independent replications method, and all measurements related to the identified sarcopenia parameters are characterized by a 95% confidence interval with a 5% maximum relative error. The implementation of these technologies as a supporting clinical tool used in a specific setting could significantly impact the life and independence of the sarcopenic frail elderly population.

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Section: Methodsmentioning

confidence: 99%

An Innovative AAL System Based on IoT Technologies for Patients with Sarcopenia

Addante

Gaetani²,

Patrono

et al. 2019

Sensors

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“…However, the main issue of the MTJ sensor is its high intrinsic noise that limits the device sensitivity. Grancharov et al (2005) reported the first-ever proof of Magnetic Tunnel Junctions (MTJs) as a biosensor. They demonstrated a unique antigen and DNA detection method at room temperature using mono-dispersed manganese ferrite nanoparticles as the magnetic tags.…”

Section: State Of the Art On Sensors And Technologies For Detecting Pmentioning

confidence: 99%

“…Since the end of 2019, the COVID-19 virus has spread widely all over the world. In this field, the technology offers valid support for medical applications simplifying the work of the medical staff and improving the lifestyle of the patients (Gaetani et al, 2019(Gaetani et al, , 2020Lay-Ekuakille et al, 2019;Visconti et al, 2018). Thanks to the very recent studies carried out all over the world, we are going to have increasingly precise, portable, and noninvasive devices, which will facilitate early detection of the virus.…”

mentioning

confidence: 99%

An overview of technologies and devices against COVID-19 pandemic diffusion: virus detection and monitoring solutions

Fazio

Sponziello

Cafagna

et al. 2021

International Journal on Smart Sensing and Intelligent Systems

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The year 2020 will remain in the history for the diffusion of the COVID-19 virus, originating a pandemic on a world scale with over a million deaths. From the onset of the pandemic, the scientific community has made numerous efforts to design systems to detect the infected subjects in ever-faster times, allowing both to intervene on them, to avoid dangerous complications, and to contain the pandemic spreading. In this paper, we present an overview of different innovative technologies and devices fielded against the SARS-CoV-2 virus. The various technologies applicable to the rapid and reliable detection of the COVID-19 virus have been explored. Specifically, several magnetic, electrochemical, and plasmonic biosensors have been proposed in the scientific literature, as an alternative to nucleic acid-based real-time reverse transcription Polymerase Chain Reaction (PCR) (RT-qPCR) assays, overcoming the limitations featuring this typology of tests (the need for expensive instruments and reagents, as well as of specialized staff, and their reliability). Furthermore, we investigated the IoT solutions and devices, reported on the market and in the scientific literature, to contain the pandemic spreading, by avoiding the contagion, acquiring the parameters of suspected users, and monitoring them during the quarantine period.

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“…In addition, the identification of each productive process step and entity which stores the products information along the SC is required. These operations are enabled by the IoT technologies [ 46 , 47 ]. Specifically, the information related to the production environment, to the product transformation or to the transport conditions are acquired and monitored by sensors placed along the whole SC.…”

Section: Scientific Work and Commercial Devices For Precision Farmentioning

confidence: 99%

Development of Sensors-Based Agri-Food Traceability System Remotely Managed by a Software Platform for Optimized Farm Management

Visconti

Fazio

Velázquez

et al. 2020

Sensors

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The huge spreading of Internet of things (IoT)-oriented modern technologies is revolutionizing all fields of human activities, leading several benefits and allowing to strongly optimize classic productive processes. The agriculture field is also affected by these technological advances, resulting in better water and fertilizers’ usage and so huge improvements of both quality and yield of the crops. In this manuscript, the development of an IoT-based smart traceability and farm management system is described, which calibrates the irrigations and fertigation operations as a function of crop typology, growth phase, soil and environment parameters and weather information; a suitable software architecture was developed to support the system decision-making process, also based on data collected on-field by a properly designed solar-powered wireless sensor network (WSN). The WSN nodes were realized by using the ESP8266 NodeMCU module exploiting its microcontroller functionalities and Wi-Fi connectivity. Thanks to a properly sized solar power supply system and an optimized scheduling scheme, a long node autonomy was guaranteed, as experimentally verified by its power consumption measures, thus reducing WSN maintenance. In addition, a literature analysis on the most used wireless technologies for agri-food products’ traceability is reported, together with the design and testing of a Bluetooth low energy (BLE) low-cost sensor tag to be applied into the containers of agri-food products, just collected from the fields or already processed, to monitor the main parameters indicative of any failure or spoiling over time along the supply chain. A mobile application was developed for monitoring the tracking information and storing conditions of the agri-food products. Test results in real-operative scenarios demonstrate the proper operation of the BLE smart tag prototype and tracking system.

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Hardware design and software development of a motion control and driving system for transradial prosthesis based on a wireless myoelectric armband

Cited by 21 publications

References 11 publications

An Innovative AAL System Based on IoT Technologies for Patients with Sarcopenia

An Innovative AAL System Based on IoT Technologies for Patients with Sarcopenia

An overview of technologies and devices against COVID-19 pandemic diffusion: virus detection and monitoring solutions

Development of Sensors-Based Agri-Food Traceability System Remotely Managed by a Software Platform for Optimized Farm Management

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