Medical and Clinical Research Reports, 9-14 | 9 Wearable Device for Monitoring of Slow Wave Sleep Stage of Insomnia Patients M.C. Jobin Christ a,* , R. Premkumar b , A. Lakshmi Narayanan c , Rahul Krishnan d a Professor, Department of Biomedical Engineering, Rajalakshmi Engineering College, India. b Associate Professor, Department of Biomedical Engineering, Rajalakshmi Engineering College, India. c Assistant Professor, Department of Biomedical Engineering, Rajalakshmi Engineering College, India. d Assistant Professor, Department of Electronics & Communication Engineering, Rajalakshmi Institute of Technology, India. *Corresponding Author drjobinchrist@gmail.com (M.C. Jobin Christ) Tel.: xxxxxxxxxx Received : xx-xx-xxxx Accepted : xx-xx-xxxx 1 Introduction ABSTRACT: Insufficient sleep has been found to be associated with a wide range of negative health and social outcomes. The pharmacological approach to this problem often raises issues related to dependence and residual daytime side effects. An alternative approach offering a potential solution to sleep deprivation is a non- pharmacological technique. This paper presents a compact wearable sleep monitoring device prototype having the capabilities of tracking the sleep stages during the consecutive night sleep cycles, identifying the Slow Wave Sleep (SWS) stage. Embedded into the device prototype are sensors for monitoring body movements, EEG signal and heart rate during the consecutive night sleep cycles and can be used for more precise detection SWS stage. . Keywords: Insomnia patients, Non-pharmacological technique, EEG signal, Body movements, Accelerometer. Sleep-deprived workers are costing the world’s economies billions of dollars every year. According to a recent study by Rand Europe [1], the U.S. economy is suffering the greatest impact, losing an estimated $411 billion annually through tired or absent employees. Japan is in the 2nd place with over a $138 billion loss every year. Canada is in the 5th place, losing due to insufficient sleep of workers around $21:4 billion early, which is approximately 1.4% of its GDP.A sleep disorder, can be broadly defined as a physiological problem that impairs the ability to sleep. It is well established that sleep is comprised of two broad alternating states termed rapid- eye-movement (REM) and non-rapid-eye movement (NREM). The NREM state was initially divided in 4 discrete sleep stages (Stage 1, Stage 2, Stage 3 and Stage 4), with specific electroencephalographic (EEG) characteristics, but later that division was modified by combining deep sleep stages 3 and 4 into one stage N3. The Stage N3 of NREM sleep is characterized by the high-amplitude slow-wave EEG activity within the frequency range 0.5-4.0 Hz and is called the slow-wave sleep (SWS) stage or delta sleep due to the dominant delta rhythm. The SWS stage correlates well with Electro Dermal Activity (EDA), which reflects the variation of the electrical properties of the skin and exhibits high frequency “storm” patterns during the deep SWS stage. The main aim of this research is to help insomnia patients, due to its high prevalence; considerable impact on wellbeing and high medical and societal costs, insomnia represents an important health care challenge. Despite this, the prevalence of this condition is under-recognized and many suffers do not receive adequate treatment. Insomnia was reported by 30% suffer from occasional insomnia in India and 37.2% of respondent in France and Italy, 6.6% in Japan and 27.1% in the USA. The mean number of symptoms reported per patient was two, with sleep maintenance insomnia the most predominant symptom (73%), followed by difficulty asleep (61%) and poor sleep quality (48%). Day time fatigue and impaired concentration and attention were the most commonly reported next day symptoms as a result of poor sleep. The majority of individuals with sleep problems reported RESEARCH ARTICLE DOI: 10.26524/mcrr1813