Predicting depressed patients with suicidal ideation from ECG recordings
AH Khandoker, V Luthra, Y Abouallaban… - Medical & biological …, 2017 - Springer
Globally suicidal behavior is the third most common cause of death among patients with
major depressive disorder (MDD). This study presents multi-lag tone–entropy (T–E) analysis …
major depressive disorder (MDD). This study presents multi-lag tone–entropy (T–E) analysis …
Entropy analysis of heart rate variability and its application to recognize major depressive disorder: A pilot study
S Byun, AY Kim, EH Jang, S Kim… - … and Health Care, 2019 - content.iospress.com
BACKGROUND: The current method to evaluate major depressive disorder (MDD) relies on
subjective clinical interviews and self-questionnaires. OBJECTIVE: Autonomic imbalance in …
subjective clinical interviews and self-questionnaires. OBJECTIVE: Autonomic imbalance in …
Suicidal ideation is associated with altered variability of fingertip photo-plethysmogram signal in depressed patients
AH Khandoker, V Luthra, Y Abouallaban… - Frontiers in …, 2017 - frontiersin.org
Physiological and psychological underpinnings of suicidal behavior remain ill-defined and
lessen timely diagnostic identification of this subgroup of patients. Arterial stiffness is …
lessen timely diagnostic identification of this subgroup of patients. Arterial stiffness is …
Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals
Major Depressive Disorder (MDD) is a neurohormonal disorder that causes persistent
negative thoughts, mood and feelings, often accompanied with suicidal ideation (SI). Current …
negative thoughts, mood and feelings, often accompanied with suicidal ideation (SI). Current …
[PDF][PDF] A multimodal prediction model for suicidal attempter in major depressive disorder
Q Li, K Liao - PeerJ, 2023 - peerj.com
Background. Suicidal attempts in patients with major depressive disorder (MDD) have
become an important challenge in global mental health affairs. To correctly distinguish MDD …
become an important challenge in global mental health affairs. To correctly distinguish MDD …
The relationships of current suicidal ideation with inflammatory markers and heart rate variability in unmedicated patients with major depressive disorder
Studies investigating inflammatory status and autonomic functioning simultaneously in
depressed patients with current suicidal ideation (SI) are lacking. We recruited 58 …
depressed patients with current suicidal ideation (SI) are lacking. We recruited 58 …
Identification of major depression patients using machine learning models based on heart rate variability during sleep stages for pre-hospital screening
D Geng, Q An, Z Fu, C Wang, H An - Computers in Biology and Medicine, 2023 - Elsevier
With the COVID-19 pandemic causing challenges in hospital admissions globally, the role of
home health monitoring in aiding the diagnosis of mental health disorders has become …
home health monitoring in aiding the diagnosis of mental health disorders has become …
Cardiorespiratory coupling analysis based on entropy and cross-entropy in distinguishing different depression stages
L Zhao, L Yang, Z Su, C Liu - Frontiers in physiology, 2019 - frontiersin.org
Aims This study used entropy-and cross entropy-based methods to explore the
cardiorespiratory coupling of depressive patients, and thus to assess the values of those …
cardiorespiratory coupling of depressive patients, and thus to assess the values of those …
An objective screening method for major depressive disorder using logistic regression analysis of heart rate variability data obtained in a mental task paradigm
G Sun, T Shinba, T Kirimoto, T Matsui - Frontiers in Psychiatry, 2016 - frontiersin.org
Background and objectives Heart rate variability (HRV) has been intensively studied as a
promising biological marker of major depressive disorder (MDD). Our previous study …
promising biological marker of major depressive disorder (MDD). Our previous study …
Prediction of suicide-related events by analyzing electronic medical records from PTSD patients with bipolar disorder
Around 800,000 people worldwide die from suicide every year and it's the 10th leading
cause of death in the US. It is of great value to build a mathematic model that can accurately …
cause of death in the US. It is of great value to build a mathematic model that can accurately …