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Christine Parsons

Deploying innovations in wearable technology to gain insight into clinical disorders and their treatment

Research output: Contribution to conferencePosterResearchpeer-review

Standard

Deploying innovations in wearable technology to gain insight into clinical disorders and their treatment. / Parsons, Christine; Jensen, Kasper Løvborg; Linehan, Conor ; Petersen, Mikkel; Fjorback, Lone Overby ; Craske, Michelle G; Roepstorff, Andreas.

2017. Poster session presented at Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists, London, United Kingdom.

Research output: Contribution to conferencePosterResearchpeer-review

Harvard

Parsons, C, Jensen, KL, Linehan, C, Petersen, M, Fjorback, LO, Craske, MG & Roepstorff, A 2017, 'Deploying innovations in wearable technology to gain insight into clinical disorders and their treatment', Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists, London, United Kingdom, 24/04/2017 - 25/04/2017.

APA

Parsons, C., Jensen, K. L., Linehan, C., Petersen, M., Fjorback, L. O., Craske, M. G., & Roepstorff, A. (2017). Deploying innovations in wearable technology to gain insight into clinical disorders and their treatment. Poster session presented at Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists, London, United Kingdom.

CBE

Parsons C, Jensen KL, Linehan C, Petersen M, Fjorback LO, Craske MG, Roepstorff A. 2017. Deploying innovations in wearable technology to gain insight into clinical disorders and their treatment. Poster session presented at Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists, London, United Kingdom.

MLA

Parsons, Christine et al. Deploying innovations in wearable technology to gain insight into clinical disorders and their treatment. Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists, 24 Apr 2017, London, United Kingdom, Poster, 2017.

Vancouver

Parsons C, Jensen KL, Linehan C, Petersen M, Fjorback LO, Craske MG et al. Deploying innovations in wearable technology to gain insight into clinical disorders and their treatment. 2017. Poster session presented at Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists, London, United Kingdom.

Author

Parsons, Christine ; Jensen, Kasper Løvborg ; Linehan, Conor ; Petersen, Mikkel ; Fjorback, Lone Overby ; Craske, Michelle G ; Roepstorff, Andreas. / Deploying innovations in wearable technology to gain insight into clinical disorders and their treatment. Poster session presented at Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists, London, United Kingdom.

Bibtex

@conference{96577443bc62410f8e6b6f33e6f9699c,
title = "Deploying innovations in wearable technology to gain insight into clinical disorders and their treatment",
abstract = "Peripheral psychophysiological measures have been used to inform our understanding of symptoms in mental health disorders, to predict treatment response, and to investigate mechanisms of treatment change. Typically, psychophysiological measures are laboratory-based, yielding precise, reliable, but infrequent assessment. Wearable technology can provide new ways to understand physiology beyond the laboratory. In order to harness this potential, we need to develop methods to monitor patients unobtrusively, with minimal patient burden, and due concern for privacy issues. Furthermore, we need to ensure that methods developed are acceptable to patients, as well as being engaging to use. In this interdisciplinary project, we adopt approaches from human-computer interaction, where target users are involved in the design and refinement of our technological solutions. The engineering challenge involves building a smartphone application that can gather and analyse physiological and behavioural data securely. From testing wearable device capacities, we suggest that resting sleeping heart rate may comprise a measurable index of physiological functioning. This measure, together with behavioural indices, such as daily rhythmic patterns of activity, may provide new insights into patient functioning. Furthermore, high-frequency recording, over extended periods as available from wearable devices, will provide us with a temporally-sensitive means to investigate treatment effects.",
author = "Christine Parsons and Jensen, {Kasper L{\o}vborg} and Conor Linehan and Mikkel Petersen and Fjorback, {Lone Overby} and Craske, {Michelle G} and Andreas Roepstorff",
year = "2017",
month = "4",
day = "24",
language = "English",
note = "Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists ; Conference date: 24-04-2017 Through 25-04-2017",

}

RIS

TY - CONF

T1 - Deploying innovations in wearable technology to gain insight into clinical disorders and their treatment

AU - Parsons, Christine

AU - Jensen, Kasper Løvborg

AU - Linehan, Conor

AU - Petersen, Mikkel

AU - Fjorback, Lone Overby

AU - Craske, Michelle G

AU - Roepstorff, Andreas

PY - 2017/4/24

Y1 - 2017/4/24

N2 - Peripheral psychophysiological measures have been used to inform our understanding of symptoms in mental health disorders, to predict treatment response, and to investigate mechanisms of treatment change. Typically, psychophysiological measures are laboratory-based, yielding precise, reliable, but infrequent assessment. Wearable technology can provide new ways to understand physiology beyond the laboratory. In order to harness this potential, we need to develop methods to monitor patients unobtrusively, with minimal patient burden, and due concern for privacy issues. Furthermore, we need to ensure that methods developed are acceptable to patients, as well as being engaging to use. In this interdisciplinary project, we adopt approaches from human-computer interaction, where target users are involved in the design and refinement of our technological solutions. The engineering challenge involves building a smartphone application that can gather and analyse physiological and behavioural data securely. From testing wearable device capacities, we suggest that resting sleeping heart rate may comprise a measurable index of physiological functioning. This measure, together with behavioural indices, such as daily rhythmic patterns of activity, may provide new insights into patient functioning. Furthermore, high-frequency recording, over extended periods as available from wearable devices, will provide us with a temporally-sensitive means to investigate treatment effects.

AB - Peripheral psychophysiological measures have been used to inform our understanding of symptoms in mental health disorders, to predict treatment response, and to investigate mechanisms of treatment change. Typically, psychophysiological measures are laboratory-based, yielding precise, reliable, but infrequent assessment. Wearable technology can provide new ways to understand physiology beyond the laboratory. In order to harness this potential, we need to develop methods to monitor patients unobtrusively, with minimal patient burden, and due concern for privacy issues. Furthermore, we need to ensure that methods developed are acceptable to patients, as well as being engaging to use. In this interdisciplinary project, we adopt approaches from human-computer interaction, where target users are involved in the design and refinement of our technological solutions. The engineering challenge involves building a smartphone application that can gather and analyse physiological and behavioural data securely. From testing wearable device capacities, we suggest that resting sleeping heart rate may comprise a measurable index of physiological functioning. This measure, together with behavioural indices, such as daily rhythmic patterns of activity, may provide new insights into patient functioning. Furthermore, high-frequency recording, over extended periods as available from wearable devices, will provide us with a temporally-sensitive means to investigate treatment effects.

M3 - Poster

ER -

4676 / i33