Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients
Abstract
In this paper we demonstrate how smart phone sensors, specifically inertial sensors and GPS traces, can be used as an objective "measurement device" for aiding psychiatric diagnosis. In a trial with 12 bipolar disorder patients conducted over a total (summed over all patients) of over 1000 days (on average 12 weeks per patient) we have achieved state change detection with a precision/recall of 96%/94% and state recognition accuracy of 80%. The paper describes the data collection, which was conducted as a medical trial in a real life every day environment in a rural area, outlines the recognition methods, and discusses the results.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Predictive modeling of mental health using digital biomarkers is possible in a more general population, not only in small homogenous populations.
“These findings show that predictive modeling of mental health using digital biomarkers is not only possible in small homogenous populations [83,84], but also in a more general population”
The citation lists haven’t been fetched yet
References 20 · Cited by 139
- Authors
- Gruenerbl, A., Osmani, V., Bahle, G., Carrasco, J. C., Oehler, S., Mayora, O., Haring, C., & Lukowicz, P.
- Affiliations
- German Research Centre for Artificial Intelligence (DE)
- FBK CREATE-NET Research Center (IT)
- CREATE-NET, Trento, Italy
- Tirol Kliniken (AT)
- Tilak, Hall in Tirol, Austria
- Venue
- Proceedings of the 5th Augmented Human International Conference
- Publisher
- ACM
- Published
- 2014-03-07
- Pages
- 1-8
- OpenAlex
- W2055800023
- Cited by
- 139
- References
- 20
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 6 · 2023: 8 · 2022: 17 · 2021: 10 · 2020: 17 · 2019: 16 · 2018: 14 · 2017: 14 · 2016: 9 · 2015: 10 · 2014: 12 · 2013: 1
- FWCI
- 8.06
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Augmented Human International Conference (publishedVersion)
- Funders
- Seventh Framework Programme
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Keywords
- bipolar disorder, depressive episodes, manic episodes, inertial sensors, GPS tracks, state change detection, state recognition, psychiatric diagnosis, objective measurement, real-world monitoring
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
