Abstract

Wearable electroencephalography systems of out-of-hospital can both provide complementary recordings and offer several benefits over long-term monitoring. However, several limitations were present in these new-born systems, for example, uncomfortable for wearing, inconvenient for retrieving the recordings by patients themselves, unable to timely provide accurate classification, and early warning information. Therefore, we proposed a wireless wearable electroencephalography system for encephalopathy daily monitoring, named as Brain-Health, which focused on the following three points: (a) the monitoring device integrated with electroencephalography acquisition sensors, signal processing chip, and Bluetooth, attached to a sport hat or elastic headband; (b) the mobile terminal with dedicated application, which is not only for continuous recording and displaying electroencephalography signal but also for early warning in real time; and (c) the encephalopathy’s classification algorithm based on intelligent Support Vector Machine, which is used in a new application of wearable electroencephalography for encephalopathy daily monitoring. The results showed a high mean accuracy of 91.79% and 93.89% in two types of classification for encephalopathy. In conclusion, good performance of our Brain-Health system indicated the feasibility and effectiveness for encephalopathy daily monitoring and patients’ health self-management.

Highlights

  • Encephalopathy is proved to be one of the major diseases threatening human health in recent years.[1]

  • There are two key sections in this part: participants selecting and Brain-Health monitoring system developing, including the overview of the system, EEG acquisition device, mobile APP (section ‘‘Mobile application (APP) for daily monitoring’’), and classification algorithm based on Support Vector Machine (SVM)

  • We propose a real-time wireless wearable EEG system based on SVM for encephalopathy daily monitoring, named as Brain-Health

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Summary

Introduction

Encephalopathy is proved to be one of the major diseases threatening human health in recent years.[1]. Wearable solutions were proposed by several researchers.[10,11] Patients can undergo ambulatory monitoring anywhere with a wearable device.[12,13] the continuous recordings obtained from these outpatient wearable devices are beneficial for monitoring and rehabilitation after diagnosis.[1] These devices will become a potential diagnostic tool in the near future. It still cannot meet the requirements of daily monitoring and patients’ health selfmanagement depending only on such a device. The good performance and high accuracy indicated the feasibility and effectiveness of our Brain-Health system for encephalopathy daily monitoring, health self-management, and clinical medical research

Methods
Participants
Results and discussion
Conclusion and future work
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