Literature DB >> 33594236

Outcome measures based on digital health technology sensor data: data- and patient-centric approaches.

Kirsten I Taylor1,2, Hannah Staunton3, Florian Lipsmeier4, David Nobbs4, Michael Lindemann4.   

Abstract

Year:  2020        PMID: 33594236     DOI: 10.1038/s41746-020-0305-8

Source DB:  PubMed          Journal:  NPJ Digit Med        ISSN: 2398-6352


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  4 in total

1.  cHRV Uncovering Daily Stress Dynamics Using Bio-Signal from Consumer Wearables.

Authors:  Tian Hao; Henry Chang; Marion Ball; Kun Lin; Xinxin Zhu
Journal:  Stud Health Technol Inform       Date:  2017

2.  Evaluation of smartphone-based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial.

Authors:  Florian Lipsmeier; Kirsten I Taylor; Timothy Kilchenmann; Detlef Wolf; Alf Scotland; Jens Schjodt-Eriksen; Wei-Yi Cheng; Ignacio Fernandez-Garcia; Juliane Siebourg-Polster; Liping Jin; Jay Soto; Lynne Verselis; Frank Boess; Martin Koller; Michael Grundman; Andreas U Monsch; Ronald B Postuma; Anirvan Ghosh; Thomas Kremer; Christian Czech; Christian Gossens; Michael Lindemann
Journal:  Mov Disord       Date:  2018-04-27       Impact factor: 10.338

3.  A review on wearable photoplethysmography sensors and their potential future applications in health care.

Authors:  Denisse Castaneda; Aibhlin Esparza; Mohammad Ghamari; Cinna Soltanpur; Homer Nazeran
Journal:  Int J Biosens Bioelectron       Date:  2018-08-06

4.  Predicting motor, cognitive & functional impairment in Parkinson's.

Authors:  Christine Lo; Siddharth Arora; Fahd Baig; Michael A Lawton; Claire El Mouden; Thomas R Barber; Claudio Ruffmann; Johannes C Klein; Peter Brown; Yoav Ben-Shlomo; Maarten de Vos; Michele T Hu
Journal:  Ann Clin Transl Neurol       Date:  2019-07-26       Impact factor: 4.511

  4 in total

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