When eHealth Meets IoT: A Smart Wireless System for Post-Stroke Home Rehabilitation

In recent years, the emerging framework of the Internet of Things has been leading the technological landscape in a number of different fields and applications, from autonomous and connected vehicles to wearable devices. The healthcare system is benefiting from this continuously evolving environment since it leverages the opportunities offered by the ubiquitous and pervasive presence of connected objects and smart services. This attitude has given rise to the concept of eHealth, thus enabling new approaches and solutions for healthcare. In this framework we propose SmartPants, an IoT-based wireless system specifically designed for the remote rehabilitation of lower limbs in poststroke patients. The platform consists of multiple nodes used to monitor physical therapy and a software platform that provides real-time feedback on the execution by recognizing the type of exercise currently being performed by the patient. Our experimental results, evaluated through appropriate metrics, show that the proposed movement recognition algorithm provides very good results in terms of classification performance, independent of the considered classifier, with an average true positive rate of about 91 percent and an overall accuracy of around 96.5 percent.

[1]  Haibin Zhang,et al.  Connecting Intelligent Things in Smart Hospitals Using NB-IoT , 2018, IEEE Internet of Things Journal.

[2]  Joel J. P. C. Rodrigues,et al.  FAAL: Fog computing-based patient monitoring system for ambient assisted living , 2017, 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom).

[3]  Sana Tmar-Ben Hamida,et al.  A remote deep sleep monitoring system based on a single channel for in-home insomnia diagnosis , 2015, 2015 7th International Conference on New Technologies, Mobility and Security (NTMS).

[4]  Giancarlo Fortino,et al.  IoT platforms interoperability for active and assisted living healthcare services support , 2017, 2017 Global Internet of Things Summit (GIoTS).

[5]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[6]  Haibin Zhang,et al.  When Smart Wearables Meet Intelligent Vehicles: Challenges and Future Directions , 2017, IEEE Wireless Communications.

[7]  Muhammad Farouq Bin Mustapha,et al.  Mobile heart rate monitor for myocardial infarction patients , 2017, 2017 6th ICT International Student Project Conference (ICT-ISPC).

[8]  Manuel Filipe Santos,et al.  WSN4QoL: WSNs for remote patient monitoring in e-Health applications , 2016, 2016 IEEE International Conference on Communications (ICC).

[9]  Igor Bisio,et al.  Enabling IoT for In-Home Rehabilitation: Accelerometer Signals Classification Methods for Activity and Movement Recognition , 2017, IEEE Internet of Things Journal.

[10]  Cristian Rotariu,et al.  Telemedicine system for remote blood pressure and heart rate monitoring , 2011, 2011 E-Health and Bioengineering Conference (EHB).

[11]  Thinagaran Perumal,et al.  Monitoring daily fitness activity using accelerometer sensor fusion , 2017, 2017 IEEE International Symposium on Consumer Electronics (ISCE).

[12]  Emmanuel Andrès,et al.  From Fall Detection to Fall Prevention: A Generic Classification of Fall-Related Systems , 2017, IEEE Sensors Journal.

[13]  Bruce R. Schatz,et al.  A Natural Walking Monitor for Pulmonary Patients Using Mobile Phones , 2015, IEEE Journal of Biomedical and Health Informatics.