RADAR-AD will undertake a prospective multi-center study to test different types of remote monitoring technology (RMT). RADAR-AD will test wearables, portable technologies and fixed sensors. Study numbers: n = 50 preclinical AD, n = 60 prodromal AD, n = 70 mild/moderate AD, n= 40 healthy controls. Data will be captured and modelled using the RADAR-BASE platform (https://radar-base.org/index.php/home/about-us/). For more information, please visit:

https://www.radar-ad.org/our-research/our-scientific-approach

RADAR-AD has established a Patient Advisory Board (PAB) which is composed of people living with AD and AD support groups. RADAR-AD holds regular consultation sessions with the PAB, covering topics such as the feasibility and acceptability of different interventions, and the wording of participant information documents. For more information, please visit:

https://www.radar-ad.org/patient-engagement/patient-advisory-board/our-work

The test is based on two augmented reality gamified tasks. In the first task virtual objects appearing on the video image captured by the device active camera will be hidden in some specific part of the room and need to be retrieved some minute afterward. A second test require to navigate through the room by watching in the images of the environment transmitted by the camera of the device while a virtual situation of danger and stress is simulated. The execution of these tests requires an active functional engagement of several cognitive dimension and is captured by the device sensors every second. The duration is typically about 15 minutes.

https://altoida.com/

A smartphone Banking App has been developed by CERTH to assess parameters related to the ability of managing finances during a clinical trial in the context of Dem@Care (http://demcare.eu). The cross-border trial with 190 participants in Thessaloniki, Greece and 100 in Nice, France revealed high accuracy (more than 80%) to discriminate between healthy, MCI and AD cognitive states, while the banking app itself found statistically significant differences between the three groups in multiple parameters e.g. time to complete, fictional correct input (PIN number, account number), number of attempts etc. The app is implemented as a web application with a responsive User Interface which means it may be used on any PC, tablet or smartphone device. It simulates realistic usage of a bank ATM, prompting for PIN code, amount and account number to transfer money to, in attempt to pay the bills. Meanwhile, it measures parameters related to the disease such as number of attempts, correctness of input, duration etc. The Banking App is recommended for usage in a lab setting under guidance of professionals as an assessment (not a monitoring tool), which is its purpose in RADAR-AD.

Development of RADAR-AD near real-time dashboard to establish appropriate Grafana alerts for clinical teams based on participant data status. This significantly improved design for dashboarding the data flowing through the RADAR-base has a number of advantages over previous iterations.

Current pRMT app from RADAR-base collects sensor data, such as number/duration of incoming/outgoing calls, caller ID; number/length of incoming/outgoing SMS.

https://radar-base.org/index.php/data-sensors

The RADAR-base platform was developed in the framework of the IMI RADAR-CNS project and provides an end-to-end solution to collect, manage, store and visualize sensor data from smartphones and wearable devices to enable remote monitoring of study participants and decentralized clinical trials. The platform supports multiple devices for passive data collection as well as surveys and questionnaires for active participants feedback. The following data streams can be collected from smartphone sensors: Relative location, Acceleration, Gyration, Magnetic field, Step count, Light, Phone interaction status, Application usage, Bluetooth devices, Battery level. Depending on the connected wearable devices, a wide range of data streams can be collected, e.g. Acceleration, Heart rate, Electrodermal activity, Temperature, Sleep and Physical Activity.

Mezurio is a smartphone app developed through a pre-competitive collaboration between industry (Lilly & Roche) and academia (University of Oxford), based on the very earliest neural and cognitive correlates of preclinical Alzheimer's disease (AD), utilising both active and passive data collection, and which is open and freely available to scientists. Emphasis has been placed on designing interactive experiences, which participants find engaging, thus enabling repeat, remote measurement in a little-but-often format over extensive periods. Participants interact with the app for no more than 10 minutes at a regular time of their own choosing, during each day of the study. They complete a mix of gamified tasks and short self-report questionnaire measures. The tasks cover ecologically valid measure of the kinds of complex cognition required for activities of daily living, including episodic, semantic, and spatial memory over real-world durations, executive components of attention and planning, verbal story telling tasks which test free-recall and fluency. The difficulty of each task adapts to the participants’ own abilities. Finally, the participants will be asked to install and use a keyboard dynamics module.

https://mezur.io

It is critical to define appropriately the targets functional domains for remote monitoring technologies (RMT) used in clinical studies of Alzheimer’s disease (AD) patients. The project published a prioritised list of functional domains that are likely to be specific and sensitive to early stages of AD progression and predictive of deleterious long-term outcomes such as loss of independence and nursing home entry. These findings can be applied to any clinical study that wishes to measure function in early AD or employ RMTs to measure health parameters and disease progression remotely.

https://www.frontiersin.org/articles/10.3389/fpsyt.2020.582207/full#h6