Full Text Journal Articles by
Author Tanzeem Choudhury

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Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks.

Daniel A Adler, Dror Ben-Zeev, Vincent W-S Tseng, John M Kane, Rachel Brian, Andrew T Campbell, Marta Hauser, Emily A Scherer, Tanzeem Choudhury,

BACKGROUND:Schizophrenia spectrum disorders (SSDs) are chronic conditions, but the severity of symptomatic experiences and functional impairments vacillate over the course of illness. Developing unobtrusive remote monitoring systems to detect early warning signs of impending symptomatic relapses would allow clinicians to intervene before the patient's condition worsens. OBJECTIVE:In this study, we ... Read more >>

JMIR Mhealth Uhealth (JMIR mHealth and uHealth)
[2020, 8(8):e19962]

Cited: 0 times

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Smartphone relapse prediction in serious mental illness: a pathway towards personalized preventive care.

John Torous, Tanzeem Choudhury, Ian Barnett, Matcheri Keshavan, John Kane,

World Psychiatry (World psychiatry : official journal of the World Psychiatric Association (WPA))
[2020, 19(3):308-309]

Cited: 0 times

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Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia.

Vincent W-S Tseng, Akane Sano, Dror Ben-Zeev, Rachel Brian, Andrew T Campbell, Marta Hauser, John M Kane, Emily A Scherer, Rui Wang, Weichen Wang, Hongyi Wen, Tanzeem Choudhury,

Schizophrenia is a severe and complex psychiatric disorder with heterogeneous and dynamic multi-dimensional symptoms. Behavioral rhythms, such as sleep rhythm, are usually disrupted in people with schizophrenia. As such, behavioral rhythm sensing with smartphones and machine learning can help better understand and predict their symptoms. Our goal is to predict ... Read more >>

Sci Rep (Scientific reports)
[2020, 10(1):15100]

Cited: 0 times

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Capturing behavioral indicators of persecutory ideation using mobile technology.

Benjamin Buck, Kevin A Hallgren, Emily Scherer, Rachel Brian, Rui Wang, Weichen Wang, Andrew Campbell, Tanzeem Choudhury, Marta Hauser, John M Kane, Dror Ben-Zeev,

Most existing measures of persecutory ideation (PI) rely on infrequent in-person visits, and this limits their ability to assess rapid changes or real-world functioning. Mobile health (mHealth) technology may address these limitations. Little is known about passively sensed behavioral indicators associated with PI. In the current study, sixty-two participants with ... Read more >>

J Psychiatr Res (Journal of psychiatric research)
[2019, 116:112-117]

Cited: 1 time

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Relationships between smartphone social behavior and relapse in schizophrenia: A preliminary report.

Benjamin Buck, Emily Scherer, Rachel Brian, Rui Wang, Weichen Wang, Andrew Campbell, Tanzeem Choudhury, Marta Hauser, John M Kane, Dror Ben-Zeev,

Social dysfunction is a hallmark of schizophrenia. Social isolation may increase individuals' risk for psychotic symptom exacerbation and relapse. Monitoring and timely detection of shifts in social functioning are hampered by the limitations of traditional clinic-based assessment strategies. Ubiquitous mobile technologies such as smartphones introduce new opportunities to capture objective ... Read more >>

Schizophr Res (Schizophrenia research)
[2019, 208:167-172]

Cited: 3 times

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Feasibility and Acceptability of Mobile Phone-Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults.

Mashfiqui Rabbi, Min Sh Aung, Geri Gay, M Cary Reid, Tanzeem Choudhury,

BACKGROUND:Chronic pain is a globally prevalent condition. It is closely linked with psychological well-being, and it is often concomitant with anxiety, negative affect, and in some cases even depressive disorders. In the case of musculoskeletal chronic pain, frequent physical activity is beneficial. However, reluctance to engage in physical activity is ... Read more >>

J. Med. Internet Res. (Journal of medical Internet research)
[2018, 20(10):e10147]

Cited: 3 times

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Keppi: A Tangible User Interface for Self-Reporting Pain.

Alexander T Adams, Phil Adams, Elizabeth L Murnane, Mike Elfenbein, Shruti Sannon, Geri Gay, Tanzeem Choudhury, Pamara F Chang,

Motivated by the need to support those self-managing chronic pain, we report on the development and evaluation of a novel pressure-based tangible user interface (TUI) for the self-report of scalar values representing pain intensity. Our TUI consists of a conductive foam-based, force-sensitive resistor (FSR) covered in a soft rubber with ... Read more >>

(ACM transactions on applied perception)
[2018, 2018:]

Cited: 0 times

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Sensing behavioral symptoms of mental health and delivering personalized interventions using mobile technologies.

Min Hane Aung, Mark Matthews, Tanzeem Choudhury,

Unlike most other health conditions, the treatment of mental illness relies on subjective measurement. In addition, the criteria for diagnosing mental illnesses are based on broad categories of symptoms that do not account for individual deviations from these criteria. The increasing availability of personal digital devices, such as smartphones that ... Read more >>

Depress Anxiety (Depression and anxiety)
[2017, 34(7):603-609]

Cited: 4 times

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Current Issues and Future Directions for Research Into Digital Behavior Change Interventions.

Lucy Yardley, Tanzeem Choudhury, Kevin Patrick, Susan Michie,

Am J Prev Med (American journal of preventive medicine)
[2016, 51(5):814-815]

Cited: 12 times

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EmotionCheck:: A Wearable Device to Regulate Anxiety through False Heart Rate Feedback.

Jean Costa, Alexander T Adams, Malte F Jung, François Guimbretière, Tanzeem Choudhury,

Previous studies indicate that the way we perceive our bodily signals, such as our heart rate, can influence how we feel. Inspired by these studies, we built EmotionCheck, which is a wearable device that can change users' perception of their heart rate through subtle vibrations on the wrist. The results ... Read more >>

(GetMobile (New York, N.Y.))
[2017, 21(2):22-25]

Cited: 0 times

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CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse.

Dror Ben-Zeev, Rachel Brian, Rui Wang, Weichen Wang, Andrew T Campbell, Min S H Aung, Michael Merrill, Vincent W S Tseng, Tanzeem Choudhury, Marta Hauser, John M Kane, Emily A Scherer,

OBJECTIVE:This purpose of this study was to describe and demonstrate CrossCheck, a multimodal data collection system designed to aid in continuous remote monitoring and identification of subjective and objective indicators of psychotic relapse. METHOD:Individuals with schizophrenia-spectrum disorders received a smartphone with the monitoring system installed along with unlimited data plan ... Read more >>

Psychiatr Rehabil J (Psychiatric rehabilitation journal)
[2017, 40(3):266-275]

Cited: 27 times

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Development and Evaluation of a Smartphone-Based Measure of Social Rhythms for Bipolar Disorder.

Mark Matthews, Saeed Abdullah, Elizabeth Murnane, Stephen Voida, Tanzeem Choudhury, Geri Gay, Ellen Frank,

Dynamic psychological processes are most often assessed using self-report instruments. This places a constraint on how often and for how long data can be collected due to the burden placed on human participants. Smartphones are ubiquitous and highly personal devices, equipped with sensors that offer an opportunity to measure and ... Read more >>

Assessment (Assessment)
[2016, 23(4):472-483]

Cited: 10 times

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Mobile Manifestations of Alertness: Connecting Biological Rhythms with Patterns of Smartphone App Use.

Elizabeth L Murnane, Saeed Abdullah, Mark Matthews, Matthew Kay, Julie A Kientz, Tanzeem Choudhury, Geri Gay, Dan Cosley,

Our body clock causes considerable variations in our behavioral, mental, and physical processes, including alertness, throughout the day. While much research has studied technology usage patterns, the potential impact of underlying biological processes on these patterns is under-explored. Using data from 20 participants over 40 days, this paper presents the ... Read more >>

(MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference))
[2016, 2016:465-477]

Cited: 0 times

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Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain.

Min S Hane Aung, Faisal Alquaddoomi, Cheng-Kang Hsieh, Mashfiqui Rabbi, Longqi Yang, J P Pollak, Deborah Estrin, Tanzeem Choudhury,

Active and passive mobile sensing has garnered much attention in recent years. In this paper, we focus on chronic pain measurement and management as a case application to exemplify the state of the art. We present a consolidated discussion on the leveraging of various sensing modalities along with modular server-side ... Read more >>

(IEEE journal of selected topics in signal processing)
[2016, 10(5):962-974]

Cited: 0 times

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Talking Less during Social Interactions Predicts Enjoyment: A Mobile Sensing Pilot Study.

Gillian M Sandstrom, Vincent Wen-Sheng Tseng, Jean Costa, Fabian Okeke, Tanzeem Choudhury, Elizabeth W Dunn,

Can we predict which conversations are enjoyable without hearing the words that are spoken? A total of 36 participants used a mobile app, My Social Ties, which collected data about 473 conversations that the participants engaged in as they went about their daily lives. We tested whether conversational properties (conversation ... Read more >>

PLoS One (PloS one)
[2016, 11(7):e0158834]

Cited: 0 times

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Automatic detection of social rhythms in bipolar disorder.

Saeed Abdullah, Mark Matthews, Ellen Frank, Gavin Doherty, Geri Gay, Tanzeem Choudhury,

To evaluate the feasibility of automatically assessing the Social Rhythm Metric (SRM), a clinically-validated marker of stability and rhythmicity for individuals with bipolar disorder (BD), using passively-sensed data from smartphones.Seven patients with BD used smartphones for 4 weeks passively collecting sensor data including accelerometer, microphone, location, and communication information to ... Read more >>

J Am Med Inform Assoc (Journal of the American Medical Informatics Association : JAMIA)
[2016, 23(3):538-543]

Cited: 31 times

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Mobile Behavioral Sensing for Outpatients and Inpatients With Schizophrenia.

Dror Ben-Zeev, Rui Wang, Saeed Abdullah, Rachel Brian, Emily A Scherer, Lisa A Mistler, Marta Hauser, John M Kane, Andrew Campbell, Tanzeem Choudhury,

This study examined the feasibility, acceptability, and utility of behavioral sensing among individuals with schizophrenia.Nine outpatients and 11 inpatients carried smartphones for two- or one-week periods, respectively. Device-embedded sensors (accelerometers, microphone, global positioning system, WiFi, and Bluetooth) collected behavioral data and ascertained the patients' location, activity, and exposure to human ... Read more >>

Psychiatr Serv (Psychiatric services (Washington, D.C.))
[2016, 67(5):558-561]

Cited: 30 times

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Automated personalized feedback for physical activity and dietary behavior change with mobile phones: a randomized controlled trial on adults.

Mashfiqui Rabbi, Angela Pfammatter, Mi Zhang, Bonnie Spring, Tanzeem Choudhury,

BACKGROUND:A dramatic rise in health-tracking apps for mobile phones has occurred recently. Rich user interfaces make manual logging of users' behaviors easier and more pleasant, and sensors make tracking effortless. To date, however, feedback technologies have been limited to providing overall statistics, attractive visualization of tracked data, or simple tailoring ... Read more >>

JMIR Mhealth Uhealth (JMIR mHealth and uHealth)
[2015, 3(2):e42]

Cited: 40 times

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Mindless Computing: Designing Technologies to Subtly Influence Behavior.

Alexander T Adams, Jean Costa, Malte F Jung, Tanzeem Choudhury,

Persuasive technologies aim to influence user's behaviors. In order to be effective, many of the persuasive technologies de-veloped so far relies on user's motivation and ability, which is highly variable and often the reason behind the failure of such technology. In this paper, we present the concept of Mindless Computing, ... Read more >>

(Proceedings of the ... ACM International Conference on Ubiquitous Computing . UbiComp (Conference))
[2015, 2015:719-730]

Cited: 1 time

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Objective measurement of sociability and activity: mobile sensing in the community.

Ethan M Berke, Tanzeem Choudhury, Shahid Ali, Mashfiqui Rabbi,

Automated systems able to infer detailed measures of a person's social interactions and physical activities in their natural environments could lead to better understanding of factors influencing well-being. We assessed the feasibility of a wireless mobile device in measuring sociability and physical activity in older adults, and compared results with ... Read more >>

Ann Fam Med (Annals of family medicine)
[2011, 9(4):344-350]

Cited: 14 times

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Passive and In-situ Assessment of Mental and Physical Well-being using Mobile Sensors.

Mashfiqui Rabbi, Shahid Ali, Tanzeem Choudhury, Ethan Berke,

The idea of continuously monitoring well-being using mobile-sensing systems is gaining popularity. In-situ measurement of human behavior has the potential to overcome the short comings of gold-standard surveys that have been used for decades by the medical community. However, current sensing systems have mainly focused on tracking physical health; some ... Read more >>

(Proceedings of the ... ACM International Conference on Ubiquitous Computing . UbiComp (Conference))
[2011, 2011:385-394]

Cited: 12 times

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