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Wearable Sensors and IoT-Oriented Systems for Life Quality Improvement-Edition II

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 7819

Special Issue Editor

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Guest Editor
Departament of Innovation Engineering, University of Salento, 73100 Lecce, Italy
Interests: design and testing of IoT-based electronic systems; smart remote control of facilities; electronic systems for automation and automotive; energy harvesting systems for sensors nodes; wearable devices for health monitoring; new materials and advanced sensors
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Special Issue Information

Dear Colleagues,

Advances in digital technologies are allowing people and things to constantly stay connected and synchronized with the Internet, introducing us to a world always connected and full of possibilities, thanks to the detection, processing, and sharing of the data collected by the devices. Particularly, the availability of microcontroller-based data-processing electronic boards, smart sensors, and wireless communication modules, all featured by ultra-low power consumption and high performances, offers new application solutions in the wearable devices field, which enable real-time and punctual monitoring of user's biophysical parameters. In this context, the IoMT (Internet of medical things) and IoHT (Internet of healthcare things) paradigms, in the near future, will represent the evolution of healthcare, by equipping the patient with smart devices, with little or no invasiveness, in order to constantly monitor their health conditions. These devices open new possibilities for PoC (point of care) monitoring systems, which involve considerable hardware and software potential, through multi-platform applications, distributed high-speed network connectivity, and the use of big data. In fact, a suitable hardware and software architecture will be needed to store and elaborate the data gathered by the different wearable devices in order to make them available to medical staff, for providing feedback to the patient, or alerting the rescue teams in case of sickness or dangerous situations for workers.

Summing up, this Special Issue “Wearable Sensors and IoT-Oriented Systems for Life Quality Improvement-Edition II” brings together innovative developments and synergies related, but not limited, to the following topics:

  • Wearable devices for health monitoring;
  • Data processing of wearable sensor systems;
  • Flexible electronic wearable devices;
  • Predictive algorithms for body movements;
  • Monitoring of elderly and disabled people;
  • PoC (point of care) sensing devices and the integration of medical platform;
  • Body sensors networks;
  • Sensors for fitness and wellbeing;
  • Non-conventional patient monitoring;
  • Wearable devices for environmental monitoring;
  • Accident preventing system in the workplace;
  • Design and testing of IoMT solutions;
  • Design and testing of IoHT solutions;
  • IoT solutions for remote control of workers in hostile environments.

Dr. Paolo Visconti
Guest Editor

Manuscript Submission Information

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  • wearable sensors and systems
  • body sensors networks
  • wearable devices
  • internet of medical things
  • internet of healthcare things
  • remote control systems
  • software and hardware development
  • life quality improvement
  • data processing
  • monitoring health platforms

Published Papers (1 paper)

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40 pages, 12705 KiB  
Wearable Sensors and Smart Devices to Monitor Rehabilitation Parameters and Sports Performance: An Overview
by Roberto De Fazio, Vincenzo Mariano Mastronardi, Massimo De Vittorio and Paolo Visconti
Sensors 2023, 23(4), 1856; - 07 Feb 2023
Cited by 23 | Viewed by 7366
A quantitative evaluation of kinetic parameters, the joint’s range of motion, heart rate, and breathing rate, can be employed in sports performance tracking and rehabilitation monitoring following injuries or surgical operations. However, many of the current detection systems are expensive and designed for [...] Read more.
A quantitative evaluation of kinetic parameters, the joint’s range of motion, heart rate, and breathing rate, can be employed in sports performance tracking and rehabilitation monitoring following injuries or surgical operations. However, many of the current detection systems are expensive and designed for clinical use, requiring the presence of a physician and medical staff to assist users in the device’s positioning and measurements. The goal of wearable sensors is to overcome the limitations of current devices, enabling the acquisition of a user’s vital signs directly from the body in an accurate and non–invasive way. In sports activities, wearable sensors allow athletes to monitor performance and body movements objectively, going beyond the coach’s subjective evaluation limits. The main goal of this review paper is to provide a comprehensive overview of wearable technologies and sensing systems to detect and monitor the physiological parameters of patients during post–operative rehabilitation and athletes’ training, and to present evidence that supports the efficacy of this technology for healthcare applications. First, a classification of the human physiological parameters acquired from the human body by sensors attached to sensitive skin locations or worn as a part of garments is introduced, carrying important feedback on the user’s health status. Then, a detailed description of the electromechanical transduction mechanisms allows a comparison of the technologies used in wearable applications to monitor sports and rehabilitation activities. This paves the way for an analysis of wearable technologies, providing a comprehensive comparison of the current state of the art of available sensors and systems. Comparative and statistical analyses are provided to point out useful insights for defining the best technologies and solutions for monitoring body movements. Lastly, the presented review is compared with similar ones reported in the literature to highlight its strengths and novelties. Full article
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