Quality sleep is very important for a healthy life. Nowadays, many people around the world are not getting enough sleep which is having negative impacts on their lifestyles. Studies are being conducted for sleep monitoring and have now become an important tool for understanding sleep behavior. The gold standard method for sleep analysis is polysomnography (PSG) conducted in a clinical environment but this method is both expensive and complex for long-term use. With the advancements in the field of sensors and the introduction of off-the-shelf technologies, unobtrusive solutions are becoming common as alternatives for in-home sleep monitoring. Various solutions have been proposed using both wearable and non-wearable methods which are cheap and easy to use for in-home sleep monitoring. In this paper, we present a comprehensive survey of the latest research works (2015 and after) conducted in various categories of sleep monitoring including sleep stage classification, sleep posture recognition, sleep disorders detection, and vital signs monitoring. We review the latest works done using the non-invasive approach and cover both wearable and non-wearable methods. We discuss the design approaches and key attributes of the work presented and provide an extensive analysis based on 10 key factors, to give a comprehensive overview of the recent developments and trends in all four categories of sleep monitoring. We also present some publicly available datasets for different categories of sleep monitoring. In the end, we discuss several open issues and provide future research directions in the area of sleep monitoring.
Towards Affordable, Non-Invasive Real-Time Hypoglycemia Detection Using Wearable Sensor Signals
Department of Computer Science, Old Dominion University, Norfolk, VA, USA（计算机科学系，旧 Dominion 大学）；Virginia Digital Maritime Center (VDMC), Old Dominion University, Norfolk, VA, USA（弗吉尼亚数字水路中心（VDMC），旧 Dominion 大学）
Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices
ETH Zürich（苏黎世联邦理工学院）；University of Bologna（博洛尼亚大学）；University of Modena and Reggio Emilia（摩德纳-雷焦艾米利亚大学）；Lausanne University Hospital (CHUV)（洛桑大学医院（CHUV））
Hearing Loss, Cognitive Load and Dementia: An Overview of Interrelation, Detection and Monitoring Challenges with Wearable Non-invasive Microwave Sensors
Dreamento: an open-source dream engineering toolbox for sleep EEG wearables
Donders Institute for Brain, Behaviour and Cognition（唐德斯脑、行为与认知研究所）；Radboudumc（拉德堡德大学医学中心）；Johns Hopkins University School of Medicine（约翰斯·霍普金斯大学医学院）；Netherlands Institute for Neuroscience（荷兰神经科学研究所）；Royal Netherlands Academy of Arts and Sciences（荷兰皇家艺术与科学院）
