QuantActions specializes in digital phenotyping for neurological and mental health.
We introduce TappigraphyTM, a unique measurement method leveraging everyday smartphone interactions to assess cognitive status and neurological health.
Our technology links smartphone interaction patterns to core brain processes, offering insights into neurological and mental health. By mapping these interactions to abnormal neural events, motor functions, memory, circadian cycles, and sleep, we develop health indicators, such as for disease management of epilepsy, brain recovery, stroke, and more.
We start by capturing timing patterns of smartphone interactions, such as touches on the screen or keyboard, recorded throughout the day across various smartphone usage contexts, spanning over 2500 feature dimensions.
Using this data, we create a behavioral map for each user at any given time, highlighting individual patterns, such as reduced interaction speed, which is commonly associated with chronic stress and other conditions.
Our advanced AI system correlates the behavioral maps with ground truth data, such as lab-based cognitive assessments (e.g., reaction time tests) conducted in controlled study environments.
Our AI algorithms compare individual user signals to those of a reference healthy population, synthesizing the results into a digital cognitive proxy that provides valuable insights into cognitive abilities.
Ceolini, E., Ridderinkhof R., Ghosh, A. (2024)
Age-related behavioral resilience in smartphone touchscreen interaction dynamics
van Nieuw Amerongen A. R., Meppelink A. M., Ghosh A., Thijs R. D. (2024)
Real-world smartphone data can trace the behavioural impact of epilepsy: A case study
Ceolini, E. & Ghosh, A. (2023).
Common multi-day rhythms in smartphone behavior
Kock, R., Ceolini, E., Groenewegen, L., Ghosh, A. (2023).
Neural processing of goal and non-goal-directed movements on the smartphone
Reichenbacher, T., Aliakbariana, M., Ghosh, A., Fabrikant, S. I. (2022).
Tappigraphy: continuous ambulatory assessment and analysis of in-situ map app use behaviour
Ceolini, E., Kock, R., Band, G. P. H., Stoet, G., Ghosh, A. (2022).
Temporal clusters of age-related behavioral alterations captured in smartphone touchscreen interactions
Ceolini, E., Brunner, I., Bunschoten, J., Majoie, M.H.J.M., Thijs, R. D., Ghosh, A. (2022).
A model of healthy aging based on smartphone interactions reveals advanced behavioral age in neurological disease
Van de Ruit, M. & Ghosh, A. (2022)
Can you hear me now? Momentary increase in smartphone usage enhances neural processing of task-irrelevant sound tones
Duckrow, R. B., Ceolini, E., Zaveri, H. P., Brooks, C., & Ghosh, A. (2021).
Artificial neural network trained on smartphone behavior can trace epileptiform activity in epilepsy.
Huber, R., & Ghosh, A. (2021).
Large cognitive fluctuations surrounding sleep in daily living.
Massar, S. A. A., Ng, A. S. C., Soon, C. S., Ong, J. L., Chua, X. Y., Chee, N. I. Y. N., Lee, T. S., Chee, M. W. L. (2021).
Reopening after lockdown: the influence of working-from-home and digital device use on sleep, physical activity, and wellbeing following COVID-19 lockdown and reopening
Westbrook, A., Ghosh, A., van den Bosch, R., Määttä, J. I., Hofmans, L., & Cools, R. (2021).
Striatal dopamine synthesis capacity reflects smartphone social activity.
Massar, S.A., Chua, X.Y., Soon, C.S., Ng, A.S., Ong, J.L., Chee, N.I., Lee, T.S., Ghosh, A. and Chee, M.W. (2021).
Trait-like nocturnal sleep behavior identified by combining wearable, phone-use, and self-report data.
Pfister, J. P., & Ghosh, A. (2020).
Generalized priority-based model for smartphone screen touches.
Borger, J. N., Huber, R., & Ghosh, A. (2019).
Capturing sleep–wake cycles by using day-to-day smartphone touchscreen interactions.
Balerna, M., & Ghosh, A. (2018).
The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics.
Gindrat, A. D., Chytiris, M., Balerna, M., Rouiller, E. M., & Ghosh, A. (2015).
Use-dependent cortical processing from fingertips in touchscreen phone users.
