A Wearable In-Ear EEG Device for Emotion Monitoring

For future healthcare applications, which are increasingly moving towards out-of-hospital or home-based caring models, the ability to remotely and continuously monitor patients’ conditions effectively are imperative. Among others, emotional state is one of the conditions that could be of interest to doctors or caregivers. This paper discusses a preliminary study to develop a wearable device that is a low cost, single channel, dry contact, in-ear EEG suitable for non-intrusive monitoring. All aspects of the designs, engineering, and experimenting by applying machine learning for emotion classification, are covered. Based on the valence and arousal emotion model, the device is able to classify basic emotion with 71.07% accuracy (valence), 72.89% accuracy (arousal), and 53.72% (all four emotions). The results are comparable to those measured from the more conventional EEG headsets at T7 and T8 scalp positions. These results, together with its earphone-like wearability, suggest its potential usage especially for future healthcare applications, such as home-based or tele-monitoring systems as intended.

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Low-cost Active Dry-Contact Surface EMG Sensor for Bionic Arms

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc42975.2020.9283285 ◽

2020 ◽

Author(s):

Asma M. Naim ◽

Kithmin Wickramasinghe ◽

Ashwin De Silva ◽

Malsha V. Perera ◽

Thilina Dulantha Lalitharatne ◽

...

Keyword(s):

Contact Surface ◽

Low Cost ◽

Surface Emg ◽

Dry Contact

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Constructing an Emotion Estimation Model Based on EEG/HRV Indexes Using Feature Extraction and Feature Selection Algorithms

Sensors ◽

10.3390/s21092910 ◽

2021 ◽

Vol 21 (9) ◽

pp. 2910

Author(s):

Kei Suzuki ◽

Tipporn Laohakangvalvit ◽

Ryota Matsubara ◽

Midori Sugaya

Keyword(s):

Feature Selection ◽

Single Channel ◽

Feature Selection Method ◽

Classification Model ◽

Features Selection ◽

Selection Methods ◽

Emotion Classification ◽

Model Based ◽

Physiological Indexes ◽

Emotion Estimation

In human emotion estimation using an electroencephalogram (EEG) and heart rate variability (HRV), there are two main issues as far as we know. The first is that measurement devices for physiological signals are expensive and not easy to wear. The second is that unnecessary physiological indexes have not been removed, which is likely to decrease the accuracy of machine learning models. In this study, we used single-channel EEG sensor and photoplethysmography (PPG) sensor, which are inexpensive and easy to wear. We collected data from 25 participants (18 males and 7 females) and used a deep learning algorithm to construct an emotion classification model based on Arousal–Valence space using several feature combinations obtained from physiological indexes selected based on our criteria including our proposed feature selection methods. We then performed accuracy verification, applying a stratified 10-fold cross-validation method to the constructed models. The results showed that model accuracies are as high as 90% to 99% by applying the features selection methods we proposed, which suggests that a small number of physiological indexes, even from inexpensive sensors, can be used to construct an accurate emotion classification model if an appropriate feature selection method is applied. Our research results contribute to the improvement of an emotion classification model with a higher accuracy, less cost, and that is less time consuming, which has the potential to be further applied to various areas of applications.

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Development of a Low-cost PC-based Single-channel EEG Acquisition System for Educational and Research Purpose

10.1109/r10-htc53172.2021.9641637 ◽

2021 ◽

Author(s):

Pranti Tawheed ◽

Jyoti Mollick ◽

Nazmus Sakib ◽

Md. Kafiul Islam

Keyword(s):

Single Channel ◽

Low Cost ◽

Acquisition System ◽

Research Purpose

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3D Scanning Procedure for the Evaluation of Lymphedema of Upper Limbs Using Low-Cost Technology: A Preliminary Study

Lecture Notes in Mechanical Engineering - Design Tools and Methods in Industrial Engineering ◽

10.1007/978-3-030-31154-4_16 ◽

2019 ◽

pp. 177-188

Author(s):

Andrea Vitali ◽

Daniele Regazzoni ◽

Caterina Rizzi ◽

Guido Molinero

Keyword(s):

Low Cost ◽

3D Scanning ◽

Upper Limbs ◽

Scanning Procedure ◽

Preliminary Study

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Implementation of Fog computing in IoT-based healthcare system

JITA - Journal of Information Technology and Applications (Banja Luka) - APEIRON ◽

10.7251/jit1702100m ◽

2018 ◽

Vol 14 (2) ◽

Cited By ~ 4

Author(s):

Mirjana Maksimović

Keyword(s):

Healthcare System ◽

Low Cost ◽

Fog Computing ◽

Healthcare Systems ◽

Healthcare Sector ◽

Smart Devices ◽

New Paradigm ◽

Healthcare Applications ◽

Privacy And Security ◽

Main Challenge

Nowhere do the technology advancements bring improvements than in the healthcare sector, constantly creating new healthcare applications and systems which completely revolutionize the healthcare domain. The appearance of Internet of Things (IoT) based healthcare systems has immensely improved quality and delivery of care, and significantly reduced the costs. At the same time, these systems generate the enormous amount of health-associated data which has to be properly gathered, analyzed and shared. The smart devices, as the components of IoT-driven healthcare systems, are not able to deal with IoT-produced data, neither data posting to the Cloud is the appropriate solution. To overcome smart devices’ and Cloud’s limitations the new paradigm, known as Fog computing, has appeared, where an additional layer processes the data and sends the results to the Cloud. Despite numerous benefits Fog computing brings into IoT-based environments, the privacy and security issues remain the main challenge for its implementation. The reasons for integrating the IoT-based healthcare system and Fog computing, benefits and challenges, as well as the proposition of simple low-cost system are presented in this paper.

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Conceptualization of PhysioFun game: A low-cost videogame for home-based stroke rehabilitation

2016 1st International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW) ◽

10.1109/tishw.2016.7847787 ◽

2016 ◽

Cited By ~ 2

Author(s):

Tania Ribeiro ◽

Ana Isabel Veloso ◽

Rui Costa

Keyword(s):

Stroke Rehabilitation ◽

Low Cost ◽

Home Based

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Remote Control Switch Socket for Intelligent Home Based on Wifi and PLC

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.971-973.1304 ◽

2014 ◽

Vol 971-973 ◽

pp. 1304-1307

Author(s):

Yi Wang Wang

Keyword(s):

Remote Control ◽

Smart Home ◽

Low Cost ◽

Communication Technologies ◽

Intelligent Home ◽

Home Based ◽

Control Switch ◽

Design Idea

Aiming at the applications of smart home, a novel intelligent remote control switch socket based on Wifi and PLC technologies was described and designed to replace the traditional wired sppliances.The intelligent remote control switch socket using Wifi and PLC communication technologies, compared to the existing technology solutions, which has the advantages of more flexible networking, low cost, easy to implement and promotion, etc..It will provide an intelligent switch socket design idea and method for the development and promotion of smart home system .

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PV Based Automatic Irrigation System

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.39171 ◽

2021 ◽

Vol 9 (12) ◽

pp. 21-30

Author(s):

M. Sreenivasulu Naik

Keyword(s):

Water Conservation ◽

Single Channel ◽

Irrigation System ◽

Low Cost ◽

Reservoir Water ◽

Moisture Sensor ◽

Soil Moisture Sensor ◽

World Energy ◽

Human Effort ◽

Solar Powered

Abstract: In Because of the lack of rains and scarcity of land reservoir water, proper irrigation methods are critical in the field of agriculture. The continuous extraction of water from the earth is lowering the water level, causing a lot of land to slowly come into the unirrigated zones. Another important reason for this is because of unplanned water use, which wastes a significant amount of water. This automatic plant irrigation system is used for this purpose. Solar energy is used to power the system via photovoltaic cells. As a result, there is no need to rely on erratic commercial power. In this digital age, we demand that everything around us be automated, reducing human effort. Electronic circuits are becoming more prevalent, making life easier and simpler in today's world. Energy and water scarcity are two major issues that everyone is dealing with these days. As a result, energy and water conservation are required. The goal is to create a solar-powered prototype that will automatically irrigate the field. Consider how convenient it will be to be able to focus on your next task while your field is being irrigated automatically and at a low cost. No worries about underirrigation or over-irrigation, water waste or expensive electricity, or your busy schedule. Keywords: Arduino Uno-Soil Moisture Sensor Submersible Water Pump - Single Channel Relay - Solar Panel - LCD Display - Buzzer - IDE

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Design and Development of Intelligent Home Rehab Device for Post Stroke Therapy with Electro-Hydraulic Interventions

Acupuncture & Electro-Therapeutics Research ◽

10.3727/036012921x16298112109448 ◽

2021 ◽

Author(s):

Kalaiarasi Arumugam ◽

L.Ashok Kumar

Keyword(s):

Daily Living ◽

Low Cost ◽

Complete Recovery ◽

Hydraulic Systems ◽

Upper Arm ◽

Survival Group ◽

Intelligent Home ◽

Home Based ◽

Rehabilitation System ◽

Life Threatening

Today, brain attack disorders are one of the most life-threatening areas in the medical era, which mankind is facing nowadays. Globally, more than 10,000,000 people are subjected to brain attack disorders like hemiplegia and tremor, every year, where two-thirds of them survive. Among the survival community, more than 80 per cent of them are subjected to long-term impairment of their upper extremity. In order to treat the impairment, the survival group is subjected to medications and rehabilitation in order to improve their daily living. But the facilities are very limited in fast-developing countries like India when compared to western standards. The rehabilitation given corresponding with medications during the treatment period in hospitals does not give a complete recovery from disability. People from rural background could not meet their rehabilitation requirements even in the hospital during treatment and also when they are discharged to home after treatment from hospitals due to financial constraints and reachability. In order to motivate the survival group to fulfill their daily living and improve their lifestyle, this paper is focused on intelligent home-based rehabilitation system at low cost, reliability, and affordability. One major movement disorder namely Upper Arm Hemiplegia was taken into account and visited few major hospitals around Coimbatore and Chennai for literature and case study. The facilities available in various hospitals and their drawbacks were analyzed.Acupuncture & Electro-therapeutics Research E-pubBased on the studies conducted at hospitals and taking advice from therapists, an innovative low-cost home-based rehabilitation device using Electro-Hydraulic systems has been developed to support patients who were used to impaired living even after treatments. To support Upper Arm Hemiplegia patients, the devices which were developed and experimented to hold different functionalities are discussed in this paper.

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