[HTML][HTML] Mobile phone and wearable sensor-based mHealth approaches for psychiatric disorders and symptoms: systematic review

J Seppälä, I De Vita, T Jämsä, J Miettunen… - JMIR mental …, 2019 - mental.jmir.org
Background: Mobile Therapeutic Attention for Patients with Treatment-Resistant
Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and …

Social motivation in schizophrenia: How research on basic reward processes informs and limits our understanding

D Fulford, T Campellone, DE Gard - Clinical Psychology Review, 2018 - Elsevier
Limited quantity and quality of interpersonal exchanges and relationships predict worse
symptomatic and hospitalization outcomes and limit functional recovery in people with …

Predicting symptom trajectories of schizophrenia using mobile sensing

R Wang, W Wang, MSH Aung, D Ben-Zeev… - Proceedings of the …, 2017 - dl.acm.org
Continuously monitoring schizophrenia patients' psychiatric symptoms is crucial for in-time
intervention and treatment adjustment. The Brief Psychiatric Rating Scale (BPRS) is a survey …

mHealth for schizophrenia spectrum disorders management: A systematic review

O Chivilgina, T Wangmo, BS Elger… - … Journal of Social …, 2020 - journals.sagepub.com
Background: Various types of computational technologies can be used to access, store and
wirelessly share private and sensitive user-related information. The 'big data'provided by …

Apneadetector: Detecting sleep apnea with smartwatches

X Chen, Y Xiao, Y Tang… - Proceedings of the …, 2021 - dl.acm.org
Sleep apnea is a sleep disorder in which breathing is briefly and repeatedly interrupted.
Polysomnography (PSG) is the standard clinical test for diagnosing sleep apnea. However, it …

How data science can advance mental health research

TC Russ, E Woelbert, KAS Davis, JD Hafferty… - Nature human …, 2019 - nature.com
Accessibility of powerful computers and availability of so-called big data from a variety of
sources means that data science approaches are becoming pervasive. However, their …

[HTML][HTML] Early signs monitoring to prevent relapse in psychosis and promote well-being, engagement, and recovery: protocol for a feasibility cluster randomized …

A Gumley, S Bradstreet, J Ainsworth… - JMIR research …, 2020 - researchprotocols.org
Background: Relapse in schizophrenia is a major cause of distress and disability and is
predicted by changes in symptoms such as anxiety, depression, and suspiciousness (early …

Identifying modifiable risk factors for relapse in patients with schizophrenia in China

WF Mi, XM Chen, TT Fan, S Tabarak, JB Xiao… - Frontiers in …, 2020 - frontiersin.org
Background Preventing relapse of schizophrenic patients is really a challenge. The present
study sought to provide more explicit evidence and factors of different grades and weights by …

Speech markers to predict and prevent recurrent episodes of psychosis: A narrative overview and emerging opportunities

F Zaher, M Diallo, AM Achim, R Joober, MA Roy… - Schizophrenia …, 2024 - Elsevier
Preventing relapse in schizophrenia improves long-term health outcomes. Repeated
episodes of psychotic symptoms shape the trajectory of this illness and can be a detriment to …

[HTML][HTML] m-RESIST, a Mobile Therapeutic Intervention for Treatment-Resistant Schizophrenia: Feasibility, Acceptability, and Usability Study

E Grasa, J Seppälä, A Alonso-Solis… - JMIR Formative …, 2023 - formative.jmir.org
Background In the European Union, around 5 million people are affected by psychotic
disorders, and approximately 30%-50% of people with schizophrenia have treatment …