A supporting system for quick dementia screening using PIR motion sensor in smart home

Because of the worldwide aging population, more and more elders suffer from dementia. Nowadays, it is inconvenient and time-consuming for doctors to diagnose whether elders who live independently have dementia because lots of diagnostic questions on a checklist must be asked first, and part of them even require a long-term observation. In order to help doctors and make this diagnostic process easier, we proposed a supporting system that can quickly screen the elders and estimate the likelihood of them having dementia based on a behavioral test in 2 to 4 hours. During the behavioral test, the elders only need to perform some activities selected from so-called Instrumental Activities of Daily Living (IADL) in a smart home environment, and a machine learning algorithm is adopted to carry out the classification based on our proposed features extracted from motion sensors deployed in the smart home environment. Our system supports the classification of two classes, Dementia and Non-Dementia, and its average precision and recall are both up to 98.3%. Besides, the value of Area Under the ROC Curve (AUC) is 0.851.

[1]  Margo B Holm,et al.  Instrumental activities of daily living performance and role satisfaction in people with and without mild cognitive impairment: a pilot project. , 2015, The American journal of occupational therapy : official publication of the American Occupational Therapy Association.

[2]  Li-Chen Fu,et al.  Monitoring Elder's Living Activity Using Ambient and Body Sensor Network in Smart Home , 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

[3]  Prafulla N. Dawadi,et al.  An approach to cognitive assessment in smart home , 2011, DMMH '11.

[4]  J. Kulisevsky,et al.  Cognitive impairment and dementia in Parkinson's disease , 2012, Neurobiology of Disease.

[5]  Hajime Takechi,et al.  Relative Preservation of Advanced Activities in Daily Living among Patients with Mild-to-Moderate Dementia in the Community and Overview of Support Provided by Family Caregivers , 2012, International journal of Alzheimer's disease.

[6]  David S. Miller,et al.  Neuropsychiatric symptoms in Alzheimer’s disease , 2011, Alzheimer's & Dementia.

[7]  Demet İlhan Algin,et al.  Neuropsychiatric symptoms in Mild Cognitive Impairment , 2010, Annals of General Psychiatry.

[8]  David S Knopman,et al.  Classification and epidemiology of MCI. , 2013, Clinics in geriatric medicine.

[9]  Constantine G Lyketsos,et al.  Nonpharmacologic management of behavioral symptoms in dementia. , 2012, JAMA.

[10]  Marjorie Skubic,et al.  Automated Health Alerts Using In-Home Sensor Data for Embedded Health Assessment , 2015, IEEE Journal of Translational Engineering in Health and Medicine.

[11]  Maureen Schmitter-Edgecombe,et al.  Cognitive Correlates of Functional Performance in Older Adults: Comparison of Self-Report, Direct Observation, and Performance-Based Measures , 2011, Journal of the International Neuropsychological Society.

[12]  Maureen Schmitter-Edgecombe,et al.  Automated Cognitive Health Assessment Using Smart Home Monitoring of Complex Tasks , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[13]  Kôiti Hasida,et al.  K-repeating Substrings: a String-Algorithmic Approach to Privacy-Preserving Publishing of Textual Data , 2014, PACLIC.

[14]  Chiew Tong Lau,et al.  Automated detection of wandering patterns in people with dementia , 2014 .

[15]  Diane J. Cook,et al.  CASAS: A Smart Home in a Box , 2013, Computer.

[16]  M. Rodríguez-Bailón,et al.  Preliminary cognitive scale of basic and instrumental activities of daily living for dementia and mild cognitive impairment , 2015, Journal of clinical and experimental neuropsychology.

[17]  Diane J. Cook,et al.  Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques , 2015, IEEE Journal of Biomedical and Health Informatics.

[18]  Alex Mihailidis,et al.  Autonomous Unobtrusive Detection of Mild Cognitive Impairment in Older Adults , 2015, IEEE Transactions on Biomedical Engineering.

[19]  Alex Mihailidis,et al.  Unobtrusive Detection of Mild Cognitive Impairment in Older Adults Through Home Monitoring , 2017, IEEE Journal of Biomedical and Health Informatics.