A Wearable Prototype for Neurological Symptoms Recognition

Given the extreme diffusion of Alzheimer’s disease (AD) and Parkinson’s disease (PD), the necessity for a solution to early detect neurological symptoms of such diseases strongly arose. According to the medical literature, such early detection can be achieved by exploiting the correlation between PD and AD and some external symptoms: the Essential Tremor (ET) and the number of Eye Blinks (EBs). In this paper we present a prototype of sensored glasses able to detect the presence of ET of the head and to count the number of EBs at the same time. To the best of authors’ knowledge this is the first attempt to monitor such external symptoms with a transparent and wearable device without any a-priori training. Numerical results prove the reliability of the proposed approach: the proposed algorithms are able to i) correctly recognize the ET with an overall accuracy above 97% and ii) count the number of EBs with a Root Mean Square Error (RMSE) around 0.4.

[1]  Mélodie Vidal,et al.  Analysing EOG signal features for the discrimination of eye movements with wearable devices , 2011, PETMEI '11.

[2]  Ishita Basu,et al.  Towards closed-loop deep brain stimulation: Decision tree-based Essential Tremor patient's state classifier and tremor reappearance predictor , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[3]  E. Suresh,et al.  Analysis of EOG signals using wavelet transform for detecting eye blinks , 2010, 2010 International Conference on Wireless Communications & Signal Processing (WCSP).

[4]  J. Brandt,et al.  Motor signs during the course of Alzheimer disease , 2004, Neurology.

[5]  Olivier A Coubard,et al.  What do we know about eye movements in Alzheimer's disease? The past 37 years and future directions. , 2016, Biomarkers in medicine.

[6]  Elan D. Louis,et al.  Association between Essential Tremor and Other Neurodegenerative Diseases: What Is the Epidemiological Evidence , 2011, Neuroepidemiology.

[7]  Yu-Te Wang,et al.  Online Voluntary Eye Blink Detection using Electrooculogram , 2014 .

[8]  Youngwook Kim,et al.  Detection of Eye Blinking Using Doppler Sensor With Principal Component Analysis , 2015, IEEE Antennas and Wireless Propagation Letters.

[9]  R. Romulus.  A comparison between instantaneous frequency estimation methods of frequency modulated signals covered with Gaussian noise , 2012, 2012 10th International Symposium on Electronics and Telecommunications.

[10]  B. Narsimha,et al.  Analysis of EOG Signals Using Empirical Mode Decomposition for Eye Blink Detection , 2011, 2011 International Conference on Multimedia and Signal Processing.

[11]  Diana S. Woodruff-Pak,et al.  Eyeblink classical conditioning in Alzheimer's disease and cerebrovascular dementia , 1996, Neurobiology of Aging.

[12]  Jozef Juhar,et al.  Speech interface dialog with smart glasses , 2017, 2017 15th International Conference on Emerging eLearning Technologies and Applications (ICETA).

[13]  Ronachai Pongthornseri,et al.  Temporal fluctuation analysis of tremor signal in Parkinson's disease and Essential tremor subjects , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[14]  Aldo Quattrone,et al.  Clinical, electrophysiological, and imaging study in essential tremor-Parkinson's disease syndrome. , 2018, Parkinsonism & related disorders.

[15]  Feng Liu,et al.  Eye Blink Detection for Smart Glasses , 2013, 2013 IEEE International Symposium on Multimedia.

[16]  Patrick Locatelli,et al.  Differentiating essential tremor and Parkinson's disease using a wearable sensor — A pilot study , 2017, 2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI).

[17]  Oana Geman,et al.  Tremor analysis in neurological disorders using intelligent clothes , 2015, 2015 E-Health and Bioengineering Conference (EHB).

[18]  Luciano Boquete,et al.  Sensory System for Implementing a Human—Computer Interface Based on Electrooculography , 2010, Sensors.

[19]  Minoru Sasaki,et al.  Rotation Matrix to Operate a Robot Manipulator for 2D Analog Tracking Objects Using Electrooculography , 2014, Robotics.

[20]  Xinbing Wang,et al.  iBlink: A Wearable Device Facilitating Facial Paralysis Patients to Blink , 2019, IEEE Transactions on Mobile Computing.

[21]  Nallapaneni Manoj Kumar,et al.  Wearable Smart Glass: Features, Applications, Current Progress and Challenges , 2018, 2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT).