research-article

Towards smart phone based monitoring of bipolar disorder

Authors:

Agnes Grünerbl,

Patricia Oleksy,

Christian Haring,

Paul LukowiczAuthors Info & Claims

mHealthSys '12: Proceedings of the Second ACM Workshop on Mobile Systems, Applications, and Services for HealthCare

Article No.: 3, Pages 1 - 6

https://doi.org/10.1145/2396276.2396280

Published: 06 November 2012 Publication History

Abstract

We describe a real life study of the use of smart phone based sensors for state monitoring of bipolar disorder (manic-depressive disorder). The study was conducted with 10 patients in a rural area of Austria under the supervision of a local psychiatric hospital. It shows initial evidence that relatively simple features derived from location, motion and phone call patterns are a good indication of state transitions.

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Cited By

Sahoo SShende CHossain MPatel PWang XMahmud MBi JKamath JRussell ASong DWang B(2024)Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)10.1109/CHASE60773.2024.00012(13-24)Online publication date: 19-Jun-2024
https://doi.org/10.1109/CHASE60773.2024.00012
Devi DNaresh RKumar CSenthilkumar SJovin A(2023)Depression and Mood Monitoring for Pregnant Women Using IoT-Based WearablesTechnological Tools for Predicting Pregnancy Complications10.4018/979-8-3693-1718-1.ch009(162-185)Online publication date: 29-Sep-2023
https://doi.org/10.4018/979-8-3693-1718-1.ch009
Davies S(2023)VR and Sensors in Alleviating Loneliness2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)10.1109/ACIIW59127.2023.10388117(1-5)Online publication date: 10-Sep-2023
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cover image ACM Conferences

mHealthSys '12: Proceedings of the Second ACM Workshop on Mobile Systems, Applications, and Services for HealthCare

November 2012

47 pages

ISBN:9781450317641

DOI:10.1145/2396276

General Chair:
Raghu Ganti
IBM Watson Research Center
,
Program Chairs:
Ashutosh Sabharwal
Rice University
,
John Burruss
Baylor College of Medicine

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 November 2012

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SenSys '12: The 10th ACM Conference on Embedded Network Sensor Systems

November 6, 2012

Ontario, Toronto, Canada

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Cited By

Sahoo SShende CHossain MPatel PWang XMahmud MBi JKamath JRussell ASong DWang B(2024)Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)10.1109/CHASE60773.2024.00012(13-24)Online publication date: 19-Jun-2024
https://doi.org/10.1109/CHASE60773.2024.00012
Devi DNaresh RKumar CSenthilkumar SJovin A(2023)Depression and Mood Monitoring for Pregnant Women Using IoT-Based WearablesTechnological Tools for Predicting Pregnancy Complications10.4018/979-8-3693-1718-1.ch009(162-185)Online publication date: 29-Sep-2023
https://doi.org/10.4018/979-8-3693-1718-1.ch009
Davies S(2023)VR and Sensors in Alleviating Loneliness2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)10.1109/ACIIW59127.2023.10388117(1-5)Online publication date: 10-Sep-2023
https://doi.org/10.1109/ACIIW59127.2023.10388117
D’silva GBatra JBhoir ASharma A(2022)On-Device Emotional Intelligent IoT-Based Framework for Mental Health DisordersEmerging Technologies in Data Mining and Information Security10.1007/978-981-19-4193-1_50(511-521)Online publication date: 29-Sep-2022
https://doi.org/10.1007/978-981-19-4193-1_50
Gutierrez LRabbani KAjayi OGebresilassie SRafferty JCastro LBanos O(2021)Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity ManagementInternational Journal of Environmental Research and Public Health10.3390/ijerph1803132718:3(1327)Online publication date: 1-Feb-2021
https://doi.org/10.3390/ijerph18031327
Gooding PKariotis T(2021)Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping ReviewJMIR Mental Health10.2196/246688:6(e24668)Online publication date: 10-Jun-2021
https://doi.org/10.2196/24668
Tonti SMarzolini BBulgheroni M(2021)Smartphone-Based Passive Sensing for Behavioral and Physical Monitoring in Free-Life Conditions: Technical Usability StudyJMIR Biomedical Engineering10.2196/154176:2(e15417)Online publication date: 11-May-2021
https://doi.org/10.2196/15417
Rosenfeld ABenrimoh DArmstrong CMirchi NLanglois-Therrien TRollins CTanguay-Sela MMehltretter JFratila RIsrael SSnook EPerlman KKleinerman ASaab BThoburn MGabbay CYaniv-Rosenfeld A(2021)Big Data analytics and artificial intelligence in mental healthcareApplications of Big Data in Healthcare10.1016/B978-0-12-820203-6.00001-1(137-171)Online publication date: 2021
https://doi.org/10.1016/B978-0-12-820203-6.00001-1
Hilty DArmstrong CLuxton DGentry MKrupinski E(2021)A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research DirectionsJournal of Technology in Behavioral Science10.1007/s41347-021-00199-26:2(278-313)Online publication date: 3-Mar-2021
https://doi.org/10.1007/s41347-021-00199-2
Stanislaus SVinberg MMelbye SFrost MBusk JBardram JKessing LFaurholt-Jepsen M(2020)Smartphone-based activity measurements in patients with newly diagnosed bipolar disorder, unaffected relatives and control individualsInternational Journal of Bipolar Disorders10.1186/s40345-020-00195-08:1Online publication date: 2-Nov-2020
https://doi.org/10.1186/s40345-020-00195-0
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