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Ambient Assisted Living At-Home Laboratory for Motor Status Diagnostics in Parkinson's Disease Patients and Aged People
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Author(s): Alexander Yu. Meigal (Petrozavodsk State University, Russia), Dmitry G. Korzun (Petrozavodsk State University, Russian Federation), Alex P. Moschevikin (Nanoseti LTD, Petrozavodsk State University, Russia), Sergey Reginya (Petrozavodsk State University, Nanoseti LTD, Russia)and Liudmila I. Gerasimova-Meigal (Petrozavodsk State University, Russia)
Copyright: 2020
Pages: 26
Source title:
Tools and Technologies for the Development of Cyber-Physical Systems
Source Author(s)/Editor(s): Sergey Balandin (FRUCT Oy, Finland)and Ekaterina Balandina (Tampere University, Finland)
DOI: 10.4018/978-1-7998-1974-5.ch007
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Abstract
The chapter summarizes the authors' development on the concept of “at-home lab” (AHL). The concept employs the methods of artificial intelligence (AI), smart internet of things (IoT) technologies, and data mining techniques. The aim is at support for patients with Parkinson's disease and aged people to continuously monitor and evaluate their motor and cognitive status using own smartphone (in particular, IMU as wearable sensor, apps for testing cognitive status, camera for motor tracking). In addition, other devices in the IoT environment can participate in creating the information assistance support for people. This chapter presents and discuss the AHL concept as a further development step of AI in respect with human evolution (NeoNeoCortex). The focus is on evolutionary, environmental, and biological aspects of AI.
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