Early detection of Alzheimer's disease in Intelligent Environment

Cognitive disabilities from Alzheimer’s disease trigger difficulties during instrumental activities of daily living (IADL) that could be detected at the very beginning of the disease. The smart home, equipped with a large set of sensors, has the potential of automatically measuring the participants’ performance in everyday life and thus detect AD early.

Experiments are carried out with participants aged 65 or older, divided in 3 groups: healthy subjects, subjects with mild cognitive impairment (MCI) and subjects with mild Alzheimer’s disease. The experimental protocol includes the completion of five IADLs by the participant (such as cleaning the bathroom or preparing lunch) under the supervision of an occupational therapist. In addition, the experiment is recorded via five cameras for further analysis.

Moreover, the interdisciplinarity between the clinical and technical teams through different research centers adds challenges for the joining of expertise and the development of collaborative tools. As a result of the experiments, two subprojects emerged: one consisting of the creation of a transdisciplinary collaboration tool and the other dedicated to the analysis of collected sensor data.

Members of the team

Principal investigators

Hélène Pigot, Domus laboratory, Université de Sherbrooke

Nathalie Bier, Université de Montréal

MSc students

Mathieu Gagnon, Domus laboratory, Université de Sherbrooke

Jules Randolph, Domus laboratory, Université de Sherbrooke

Publications

Journal article
  1. Lussier, M., Adam, S., Chikhaoui, B., Consel, C., Gagnon, M., Gilbert, B., Giroux, S., Guay, M., Hudon, C., Imbeault, H., Langlois, F., Macoir, J., Pigot, H., Talbot, L. & Bier, N. (2019). Smart Home Technology: a New Approach for Performance Measurements of Activities of Daily Living and Prediction of Mild Cognitive Impairment in Older Adults. Journal of Alzheimer's Disease, vol. 68, no. 1, pp. 85-96.
Conference paper
  1. Chikhaoui B., Lussier M., Gagnon M., Pigot H., Giroux S. & Bier N. (2018) Automatic Identification of Behavior Patterns in Mild Cognitive Impairments and Alzheimer’s Disease Based on Activities of Daily Living. In: Mokhtari M., Abdulrazak B., Aloulou H. (eds) Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living. ICOST 2018. Lecture Notes in Computer Science, vol 10898. Springer, Cham, ICOST 2018, 10th - 12th July 2018, Singapore, Singapore, p. 60-72. DOI: 10.1007/978-3-319-94523-1_6
Published abstract
  1. Maxime Lussier, Sylvain Giroux, B Chikhaoui, M. Gagnon, S. Adama, C. Consel, B. Gilbert, M. Guay, C. Hudon, H. Imbeault, F. Langlois, D. Lorrain, J. Macoir, Isabelle Rouleau, L Talbot, Nathalie Bier, Memory, executive functions, and naturalistic assessment of activities of daily living in mild cognitive impairment using smart home sensors April 2018 Gerontechnology 17(s):15-15