Electrocardiographic changes during acute mental stress

Bhide, Arpana; Rajasekhar, D.; Kasala, Latheef; Vanajakshamma, V.; Hulikal, Narendra

doi:10.5455/ijmsph.2016.19082015137

Cited by 19 publications

(20 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…(Table 2) A similar finding was reported by Arpana Bhide et al 14 Mental stress influences on intra ventricular conduction time by changing autonomic balance, which can lead to reduced QRS duration.…”

Section: Discussionsupporting

confidence: 83%

Effect of mental stress on autonomic nervous function in young adults

2020

IJCAP

View full text Add to dashboard Cite

Introduction: Autonomic imbalance is one of the important pathways through which psychological stress contributes to cardiovascular diseases/sudden death. Stress is a normal physical response to events that make us feel threatened or upset our balance in some way. There is a major role of mental stress in provoking silent myocardial ischemia, cardiac arrhythmia, catecholamine induced increase in heart rate, increase in blood pressure that result in enhanced myocardial oxygen demand and sometimes sudden death. In this study an attempt is made to study the variations in electro cardiogram (ECG) after inducing mental stress in normal subjects. Materials and Methods:The study included 50 healthy medical students in the age group of 18-25 studying in VIMS, Bellary. Following an explanation about the nature and purpose of the study, those subjects who are willing to participate were included after obtaining their consent. Blood pressure and ECG was recorded at rest in supine position. Then mental stress was induced on each by a no. of mental tasks and ECG was recorded in them immediately. The stressed subjects were evaluated with Speilberger's State and Trait Anxiety Inventory (STAI) score. Blood pressure and ECG results were evaluated for different parameters and the data collected was tabulated and subjected to statistical analysis. Results: There was statistically significant increase in heart rate, systolic BP, diastolic BP, decrease in PR interval and QRS interval, increase in QTc interval, T wave pattern changes, ST segment depression found after inducing mental stress. Conclusion: The study shows that there were varieties of ECG changes in mental stress that may affect the health of human beings.

show abstract

Section: Discussionsupporting

confidence: 83%

Effect of mental stress on autonomic nervous function in young adults

2020

IJCAP

View full text Add to dashboard Cite

show abstract

“…During the last few decades, researchers have expressed growing interests in measuring mental stress and its effects on our physical health [42][43][44]. Because the stress concept has been argued based on different theories regarding its nature, development of universal measures of mental stress have been challenging [45].…”

Section: Discussionmentioning

confidence: 99%

Effects of Daily Stress in Mental State Classification

Park

Dong

2020

IEEE Access

View full text Add to dashboard Cite

An external stimulus, event, or environment that stresses an individual is called a stressor. Many mental stress detection studies have been focused on the discrimination of the mental state with and without the experimental stressor. However, the mental state in the absence of experimental stressors may not represent accurately the nonstress (baseline) state because people inherently experience considerable stress in their daily lives. Therefore, we assumed that stress detection could be improved more accurately by considering the daily stress. In this study, functional near-infrared spectroscopy (fNIRS) was measured in 41 healthy participants to quantify their prefrontal cortical oxygenation during performing a cognitive task as an experimental stressor, considering individual daily stress level based on the self-report. We then extracted six signal features, including the slope, mean, standard deviation, peak, skewness, and kurtosis of the oxygenated hemoglobin concentration. Using various feature combinations and time windows, we successfully managed to classify daily stress (high/low) and the mental state (task/rest) with support vector machine classifiers. Specifically, individual daily stress level can be easily discriminated with signal features from fNIRS. Moreover, mental state classification performance improved significantly when the daily stress level was handled separately. The findings of this study show the feasibility of the fNIRS-based daily stress classification and can be used in the future to design a robust mental stress management system for the assessment of daily stress in individuals.INDEX TERMS daily stress, functional near-infrared spectroscopy, stroop word color task, mental stress classification.

show abstract

“…Outra forma de detectar a presença do estresse é a partir do monitoramento de sinais biológicos. A detecção pode ser realizada por sensores capazes de medir variações dos sinais de resposta galvânica da pele (GSR) [4], temperatura da superfície do corpo [5], eletrocardiografia (ECG) [6], eletromiografia (EMG) [7], eletroencefalografia (EEG), frequência cardíaca, pressão arterial, taxa de respiração e outros [8]. Devido a necessidade do monitoramento dos sinais do organismo de forma contínua e sem prejudicar a rotina do usuário, os dispositivos vestíveis tem ganhado espaço no mercado de healthcare.…”

Section: Introductionunclassified

Detector De Stress Pessoal

Salgado¹,

Alves²,

Santana³

et al. 2018

Anais Do v Congresso Brasileiro De Eletromiografia E Cinesiologia E X Simpósio De Engenharia Biomédica

View full text Add to dashboard Cite

Resumo: O trabalho apresenta o desenvolvimento de um protótipo de um detector de stress de baixo custo em forma de dispositivo vestível (com design de pulseira/relógio), o mesmo é capaz de detectar a variação de temperatura e da resistência galvânica da pele acusando essa variação em um LED no painel do protótipo. Para qualquer variação negativa o mesmo indica que o corpo do individuo está em algum tipo de stress psicológico ou físico. Espera-se que o protótipo se insira no cenário de tecnologias assistivas como uma alternativa de monitoramento do stress de pessoas. Palavras-chave: Tecnologia assistiva, dispositivo vestível, stress, monitoramento. Devido a necessidade do monitoramento dos sinais do organismo de forma contínua e sem prejudicar a rotina do usuário, os dispositivos vestíveis tem ganhado espaço no mercado de healthcare. Um exemplo é o PIP®, um dispositivo de biofeedback sem fio que detecta a atividade eletrodérmica (EDA), detecta mudanças na condutância elétrica da pele [9], ele funciona em conjunto com aplicativos para smartphone ou tablet. Outro dispositivo é o Stress Thermometer -SC911® onde ele auxilia na medição do nível de estresse através da variação da temperatura da pele nas extremidades do corpo (na ponta dos dedos). Nos últimos anos tem-se utilizado de forma expressiva os parâmetros da variabilidade da frequência cardíaca para a identificação da presença do estresse [10]. O dispositivo emWave® analisa esses parâmetros, ele possui a tecnologia PPG (Photoplethysmography), método não invasivo que utiliza luz infra-vermelha (IR) para identificar mudanças no volume do sangue [11] . Os modelos com design de "pulseira/relógio" são bastante populares, Fitbit Surge® é utilizado para acompanhar à atividade física e o sono do usuário. A empresa Empática™ oferece dois dispositivos com este design para monitoramento da saúde, o Embrace Watch® e o E4 wristband®. O Embrace® monitora convulsões/ataques epiléticos, sono e atividade física. Diferente do E4® que apenas coleta e salva o sinais em tempo real, focado para desenvolvimento e pesquisa de novas aplicações. Este artigo apresenta um protótipo de monitoramento do estresse de forma vestível com design de um relógio e utilizando múltiplos sensores, o dispositivo a princípio detecta o nível do estresse através das variações da resistência galvânica da pele (GSR) é da temperatura da superfície corporal, podemos classifica-los como biofeedback. Quando o houver uma variação negativa dos sinais um LED no painel do dispositivo é aceso. Abstract Materiais e métodos

show abstract

Electrocardiographic changes during acute mental stress

Cited by 19 publications

References 15 publications

Effect of mental stress on autonomic nervous function in young adults

Effect of mental stress on autonomic nervous function in young adults

Effects of Daily Stress in Mental State Classification

Detector De Stress Pessoal

Contact Info

Product

Resources

About