Internet of Things: A systematic Literature Review

Hashim, Hayder Salah; Hassan, Zainuddin; Drus, Sulfeeza Bte Mohd

doi:10.31449/inf.v46i8.4311

Cited by 4 publications

(1 citation statement)

References 48 publications

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“…The mobile application developed within the scope of the study successfully transferred patient exercise data to a database (Firebase) via IoT technology and seamlessly transmitted this data to the physiotherapist panel of the mobile application. Recent IoT-based studies demonstrate the rapid and accurate transfer of data through IoT, which has gained popularity, especially in object communication [16][17][18][19][20].…”

Section: Resultsmentioning

confidence: 99%

Development of elbow rehabilitation device with iterative learning control and internet of things

Demirsoy,

Hamida El Naser,

Sarıkaya

et al. 2024

Turkish Journal of Engineering

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In this study, we present a novel approach for rehabilitation devices through the design of an active elbow joint orthosis, inspired by the fundamental principles of robotic exoskeletons. The device not only enables home-based usage but also facilitates the transmission of exercise data from patient to physiotherapists via Internet of Things(IoT) device. This approach offers the possibility of increased therapy sessions for each patient while allowing physiotherapists access to data for real-time or subsequent analyses, thereby establishing a database. This permits a single physiotherapist to manage multiple patients more effectively. The developed mobile application within this research incorporates distinct entry interface for both patient and physiotherapists. Maximum force and position values generated during each exercise period are displayed within the application. The device enables active exercise with a single degree of freedom at the elbow joint and is equipped with force sensors to ensure safety against potential high shear forces. Furthermore, it can be worn on the upper extremity using adjustable Velcro straps to accommodate users with varying arm circumferences. Specifically, this system amalgamates two primary components: a microcontroller operating control algorithms and IoT technology, and a smartphone application containing interfaces for physiotherapists and users undergoing therapy. The control design of the device employs a P-Type Iterative Learning Control (ILC) due to periodic exercise movements, reducing the error norm by approximately 20% during each exercise period (excluding the initial period). Despite numerous studies in this field, the innovative perspective offered by our system results lies in addressing disadvantages observed in existing research, including complex device structures, unsuitability for home-based therapy, high costs, and deficiencies in remote communication systems.

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