دانلود رایگان ترجمه مقاله تشخیص استرس با نوار قابل پوشیدنی هوشمند – IEEE 2015
دانلود رایگان مقاله انگلیسی نوار پوشیدنی هوشمند برای تشخیص استرس به همراه ترجمه فارسی
عنوان فارسی مقاله | نوار پوشیدنی هوشمند برای تشخیص استرس |
عنوان انگلیسی مقاله | Smart Wearable Band for Stress Detection |
رشته های مرتبط | فناوری اطلاعات و ارتباطات، فناوری اطلاعات، کاربردهای ICT (مالتی مدیا)، سیستم های چندرسانه ای |
کلمات کلیدی | رسانایی پوست، دستگاه پوشیدنی، نوار هوشمند |
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کیفیت ترجمه | کیفیت ترجمه این مقاله متوسط میباشد |
نشریه | IEEE |
مجله | پنجمین کنفرانس بین المللی همگرایی و امنیت فناوری اطلاعات |
سال انتشار | 2015 |
کد محصول | F642 |
مقاله انگلیسی رایگان (PDF) |
دانلود رایگان مقاله انگلیسی |
ترجمه فارسی رایگان (PDF) |
دانلود رایگان ترجمه مقاله |
خرید ترجمه با فرمت ورد |
خرید ترجمه مقاله با فرمت ورد |
جستجوی ترجمه مقالات | جستجوی ترجمه مقالات |
فهرست مقاله: چکیده |
بخشی از ترجمه فارسی مقاله: 1. مقدمه |
بخشی از مقاله انگلیسی: I. INTRODUCTION Mental stress is one of the growing problems of the present society. The number of people experiencing mental stress is increasing day by day. Stress is a response of our body to prepare itself to face difficult situations. When a person goes under stress, his nervous system responds by releasing stress hormones. These hormones make our body ready for emergency actions. In certain situation it become dangerous and can put a person in serious mental disorder. Long term effects of stress can be chronic. Chronic effect of the stress causes health problems like hypertension [1], cardiovascular diseases [2] and memory problems. The sense of loneliness and hopelessness may lead people to suicide. People may be less likely to notice whether they are under high stress or may be generally less sensitive to stress. Stress detection technology could help people better understand and relieve stress by increasing their awareness of heightened level of stress that would otherwise go undetected. For this objective we have designed a smart band device in order to detect different conductance levels of the skin and predict whether the person is under stress or not. But skin conductance alone cannot accurately predict the stress level in everyday activities. Physiological responses caused by stress can also be provoked by physical activities like running, lacking of sleep etc. In order to accurately measure the stress level, classification should be made. This band will be capable of detecting stress by analyzing different parameters in accordance with skin conductance like activities tracking, sleep quality etc. The collected data is then transmitted to user’s smart phone via Bluetooth and upload to web from where it can be accessible by doctor or family members. II. STATE OF THE ART There exist several technologies for recognition of stress level. There are also several reports on physical effects and on the detection of physical changes occurring as a result of mental stress. Parameters that can be used for stress detection are, muscle tone, pupil diameter [3], heart rate variability [4], Electroencephalography (EEG) to measure stress related brain waves [5] and cortisol [6], skin conductance [7 8]. IOT based wearable health care devices and fitness bands are available that uses heart rate variability to measure stress level. The heart rate can show variation in most cases. For example, people may have higher heart rate when standing than when sitting. Hence using heart rate as an indicator to detect mental stress may lead to misclassification. Heart rate, HRV and blood pressure can be used to monitor the activity of sympathetic and para-sympathetic nervous system. Vrijkotte demonstrated the process of evaluation of work stress using blood pressure, heart rate and HRV [9]. Dishmen et al. Showed distinction between different emotional situations using heart rate variations [4]. Skin conductance is another parameter used for stress detection. The sweat secretion in stress condition decrease the skin resistance and increase skin conductance. This type of fluctuation in skin conductance can be used to measure stress level. Setz et al. accurately classified different responses of skin conductance automatically from cognitive load and stress very efficiently [8]. Hermandaz et al. differentiated stressful and non-stressful calls at the call center environment using skin conductance feature [7]. Mokhayeri et al. classified stressed and relax conditions by using multi-modal physiological signals like pupil diameter, electrocardiogram and photoplethysmogram [3]. Skin conductance has also other medical applications such as epilepsy control because sweaty hands may be a symptom of epileptic attack. Skin conductance in combination with skin temperature can also be use to develop truth meter [10] because when a person lies his hands become cold and is skin resistance become low. Besides this, the design and development of wearable sensor based system for health monitoring has acquired great attention in the scientific community and industry during last year [11]. These devices provides low cost unobtrusive solutions for continuous any time, any place health monitoring by comprising of different types of physiological sensors, transmission modules and processing capabilities. A lot of manufacturers like Philips, Nellcor, Nonin and Egilent etc are providing small wearable health care devices. For example Polar and Omron uses a chest worn belt for heart rate monitoring and wrist watch for measurement display [11]. Blufitbottle is a water bottle that keeps records of drinking water while keeping the user healthy and hydrated. Aircasting is a platform for recording, mapping and sharing health and environmental data using smart phones and custom monitoring devices. |