N.R.Vishnu Priya, Jeppiaar Engineering College; Dr.P.Jesu Jayarin ,

Dementia Patient Monitoring, Location Tracking, GPS, Hardware devices

One of the common problems face by elderly people is Dementia, and the people affected by this Disease is escalating as compared to the past. People suffering from Dementia and Alzheimer’s face many challenges in their day to day routine and their families and caretakers face major difficulty to monitor them. The Dementia patient has symptoms like loss of memory, change in behavior, and change in character, forgets to do their everyday tasks, forgets their environment and they will not even respond to their name being called. This survey mainly focuses on the methods and techniques used for monitoring Dementia Patients. This paper includes a survey on how the different types of methods are used to monitor Dementia patients. This paper also includes the location tracking of the Dementia Patients if they are lost, and using different techniques like Bluetooth device, GPS, Hardware Devices using which the patients can be tracked, So that the patient can be tracked quickly and safely. There are many devices available to monitor the Dementia and Alzheimer’s disease and this paper includes the different types of devices, algorithms and techniques used for monitoring the patients.
    [1] Xiangyu Wang,Yi-Liang Zhao,Liqiang Nie,Yue Gao,Weizhi Nie,Zheng-Jun,and Tat-Seng Chua “Semantic-Based Location Recommendation With Multimodal Venue Semantics” IEEE Transactions on Multimedia,Vol.17,No.3,March 2015 [2] Lars Meinel,Julia Richter,Rene Schmidt,Michel Findeisen,Gangolf Hirtz “OPDEMIVA:An Integrated Assistance and Information System For Elderly With Dementia” [3] Hendrik Knoche,Kasper Hald,Danny Tamsen,Lars Holm Jespersen “Tracking Rehabilitative Progres with Fitts and Starts” [4] Omar Alfandi,Suhail Ahamed,May El Barachi and Adil Khan “ Challenges of Leveraging Mobile Sensing Devices in Wireless HealthCare” [5] Rasika S.Ransing,Manita Rajput “Smart Home for Elderly Care,based on Wireless Sensor Network” [6] Ting Zhang,Jiang Lu,Fei Hu,Qi Hao “Bluetooth Low Energy for Wearable Sensor-based Healthcare Systems” [7] Zhe-Min Lin,Cheng-Hung Chang,Nai-Kuan Chou, and Yuan-Hsiang Lin “Bluetooth Low Energy (BLE) Based Blood Pressure Monitoring System” [8] Yasothaa Kalai Chelvam,Norshuhani Zamin “M3DITRACK3R:A Design of an Automated Patient Tracking and Medicine Dispensing Mobile Robot for Senior Citizens” [9] Alessandro Puiatti,Armando Rivero,Anna Forster,Andrea Bernaschina,Gian Carlo Dozio,Nicola Rizzo,Nunzio De Bitonti and Andrea Cavicchioli “Proxy-Care:A Novel Patient Care Tracking System with wireless Sensor Networks” [10] Helder Moreira and Renato Oliveira,Nuno Flores “STAIz:Remotely supporting the diagnosis,tracking and rehabilitation of Patients with Alzheimer’s” [11] Dennis Rodionov,George Kolev,Krill Bushminkin “A Hybrid Localization Technique for Patient Tracking” [12] Daniel Rosner,Razvan Tataroiu,Constantin Ilas,Andreea Livia-Beciu,Ovidiu-Marius Alexandru “Efficient Location Tracking System for Patient Monitoring” [13] Arnoldo Diaz-Ramirez,Fabin N. Murrieta,Jorge A. Atempa and Francisco A.Bonino “Non-Intrusive Tracking of Paients with Dementia Using a Wireless Sensor Network” [14] Zelai Saenz de Urturi Breton,Begona Garcia Zapirain and Amaia Mendez Zorrilla ”Kimentia:Kinect based tool to help Cognitive Stimulation for individuals with Dementia” [15] Wahee Kim and Sook-Jin Lee “Fast Bayesian Tracking For Location Estimation by Grid-based Method” [16] Hsin-Hung Chiang,Wei-Ming Chen,Chiou-shan Chou,Han-Chieh Chao “Realtime Patients Face Tracking based on Facial Feature Matching” [17] Shamma Alqassim,Madhumeta Ganesh,Shaheen Khoja,Meher Zaidi,Fadi Aloul,Assim Sagahyroon “Sleep Apnea Monitoring Using Mobile Phones”
Paper ID: GRDCF002028
Published in: Conference : International Conference on Innovations in Engineering and Technology (ICIET - 2016)
Page(s): 118 - 121