A Meta-Review of the Smartphone as the Measurement Device

[1]  Andreas Schulze-Bonhage,et al.  Early detection of behavioral side effects of antiepileptic treatment using handheld computers , 2008, Epilepsy & Behavior.

[2]  G. Drummond,et al.  Alcohol and cognitive function: assessment in everyday life and laboratory settings using mobile phones. , 2009, Alcoholism, clinical and experimental research.

[3]  B. Tiplady,et al.  Neurocognitive and mood effects of alcohol in a naturalistic setting , 2012, Human psychopharmacology.

[4]  Abraham Weizman,et al.  Antipsychotic treatment in schizophrenia: the role of computerized neuropsychological assessment. , 2008, The Israel journal of psychiatry and related sciences.

[5]  C. Sandi,et al.  Neural mechanisms and computations underlying stress effects on learning and memory , 2011, Current Opinion in Neurobiology.

[6]  Stratis Kanarachos,et al.  Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity , 2018, Transportation Research Part C: Emerging Technologies.

[7]  Jafet Morales,et al.  Physical activity recognition by smartphones, a survey , 2017 .

[8]  Minh Huynh,et al.  Smartphone-Based Device in Exotic Pet Medicine. , 2019, The veterinary clinics of North America. Exotic animal practice.

[9]  Schahram Dustdar,et al.  Quality of Context: models and applications for context-aware systems in pervasive environments , 2014, The Knowledge Engineering Review.

[10]  M. Schmitter-Edgecombe,et al.  The Ecological Validity of Neuropsychological Tests: A Review of the Literature on Everyday Cognitive Skills , 2003, Neuropsychology Review.

[11]  J. Dusek,et al.  Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers , 2009 .

[12]  M. B. Gillespie,et al.  Overview of smartphone applications for sleep analysis , 2016, World journal of otorhinolaryngology - head and neck surgery.

[13]  Maureen Schmitter-Edgecombe,et al.  Improving the ecological validity of executive functioning assessment. , 2006, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[14]  Gabriel Reedy,et al.  Using Cognitive Load Theory to Inform Simulation Design and Practice , 2015 .

[15]  R. Hanks,et al.  Cognitive estimation in traumatic brain injury , 2007, Journal of the International Neuropsychological Society.

[16]  Pasquale Daponte,et al.  State of the Art and Future Developments of Measurement Applications on Smartphones , 2013, SENSORNETS.

[17]  J. Ziegler,et al.  Smart Phone, Smart Science: How the Use of Smartphones Can Revolutionize Research in Cognitive Science , 2011, PloS one.

[18]  Francesco Lamonaca,et al.  Health parameters monitoring by smartphone for quality of life improvement , 2015 .

[19]  Mark Andrachuk,et al.  Smartphone technologies supporting community-based environmental monitoring and implementation: a systematic scoping review , 2019, Biological Conservation.

[20]  P. Delespaul,et al.  The Daily Life of Ambulatory Chronic Mental Patients , 1987, The Journal of nervous and mental disease.

[21]  Andrew Shennan,et al.  The role of medical smartphone apps in clinical decision-support: A literature review , 2019, Artif. Intell. Medicine.

[22]  Feng Xu,et al.  Portable microfluidic and smartphone-based devices for monitoring of cardiovascular diseases at the point of care. , 2016, Biotechnology advances.

[23]  Gabriella M. Harari,et al.  Smartphone sensing methods for studying behavior in everyday life , 2017, Current Opinion in Behavioral Sciences.

[24]  Jonathan Lester,et al.  New horizons in sensor development. , 2012, Medicine and science in sports and exercise.

[25]  George C. Patton,et al.  A mobile phone program to track young people’s experiences of mood, stress and coping , 2009, Social Psychiatry and Psychiatric Epidemiology.

[26]  L. von Koch,et al.  Rehabilitation in the home versus the hospital: the importance of context. , 1998, Disability and rehabilitation.

[27]  Richard J. Holden,et al.  Systematic review of smartphone-based passive sensing for health and wellbeing , 2018, J. Biomed. Informatics.