Ipsit V Vahia1, Zachary Kabelac2, Chen-Yu Hsu2, Brent P Forester3, Patrick Monette4, Rose May4, Katherine Hobbs4, Usman Munir2, Kreshnik Hoti2, Dina Katabi2. 1. Division of Geriatric Psychiatry, McLean Hospital (IVV, BPF, PM, RM, KH), Belmont, MA; Harvard Medical School (IVV, BPF), Boston, MA. Electronic address: ivahia@partners.org. 2. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (ZK, C-YH, UM, KH), Cambridge, MA. 3. Division of Geriatric Psychiatry, McLean Hospital (IVV, BPF, PM, RM, KH), Belmont, MA; Harvard Medical School (IVV, BPF), Boston, MA. 4. Division of Geriatric Psychiatry, McLean Hospital (IVV, BPF, PM, RM, KH), Belmont, MA.
Abstract
OBJECTIVES: Alzheimer's Disease (AD)-related behavioral symptoms (i.e. agitation and/or pacing) develop in nearly 90% of AD patients. In this N = 1 study, we provide proof-of-concept of detecting changes in movement patterns that may reflect underlying behavioral symptoms using a highly novel radio sensor and identifying environmental triggers. METHODS: The Emerald device is a Wi-Fi-like box without on-body sensors, which emits and processes radio-waves to infer patient movement, spatial location and activity. It was installed for 70 days in the room of patient 'E', exhibiting agitated behaviors. RESULTS: Daily motion episode aggregation revealed motor activity fluctuation throughout the data collection period which was associated with potential socio-environmental triggers. We did not detect any adverse events attributable to the use of the device. CONCLUSION: This N-of-1 study suggests the Emerald device is feasible to use and can potentially yield actionable data regarding behavioral symptom management. No active or potential device risks were encountered.
OBJECTIVES:Alzheimer's Disease (AD)-related behavioral symptoms (i.e. agitation and/or pacing) develop in nearly 90% of ADpatients. In this N = 1 study, we provide proof-of-concept of detecting changes in movement patterns that may reflect underlying behavioral symptoms using a highly novel radio sensor and identifying environmental triggers. METHODS: The Emerald device is a Wi-Fi-like box without on-body sensors, which emits and processes radio-waves to infer patient movement, spatial location and activity. It was installed for 70 days in the room of patient 'E', exhibiting agitated behaviors. RESULTS: Daily motion episode aggregation revealed motor activity fluctuation throughout the data collection period which was associated with potential socio-environmental triggers. We did not detect any adverse events attributable to the use of the device. CONCLUSION: This N-of-1 study suggests the Emerald device is feasible to use and can potentially yield actionable data regarding behavioral symptom management. No active or potential device risks were encountered.