Heart rate reflects osmostic stress levels in two introduced colonial ascidians Botryllus schlosseri and Botrylloides violaceus

2008 ◽  
Vol 154 (5) ◽  
pp. 805-811 ◽  
Author(s):  
Jennifer Dijkstra ◽  
Anthony Dutton ◽  
Erica Westerman ◽  
Larry Harris
Keyword(s):  
Heart Rate ◽  
Botryllus Schlosseri ◽  
Botrylloides Violaceus ◽  
Stress Levels ◽  
Colonial Ascidians

scholarly journals Mental Stress Detection via Heart Rate Variability using Machine Learning

2020 ◽  
Vol 12 (3) ◽  
pp. 431-444
Author(s):  
Bimo Sunarfri Hantono ◽  
◽  
Lukito Edi Nugroho ◽  
Paulus Insap Santosa ◽  
◽  
...  
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Working Memory ◽  
Heart Rate Variability ◽  
Mental Stress ◽  
Nearest Neighbor ◽  
Frequency Domain Analysis ◽  
K Nearest Neighbor ◽  
Stress Levels ◽  
Back Task

Mental stress is an undesirable condition for everyone. Increased stress can cause many problems, such as depression, heart attacks, and strokes. Psychophysiological conditions possible use as a reference to a person’s mental state of stress. The development of mobile device technology, along with the accompanying sensors, can be used to measure the psychophysiological condition of its users. Heart rate allows measured from the photoplethysmography signal utilizing a smartphone or smartwatch. The heart rate variability is currently one of the most studied methods for assessing mental stress. Our objective is to analyze stress levels on the subjects when performing tasks on the smartphone. This study involved 41 students as respondents. Their heart rate was recorded using a smartphone while they were doing the n-back tasks. The n-back task is one of the performance tasks used to measure working memory and working memory capacity. In this study, the n-back task was also used as a stressor. The heart rate dataset and n-back task results are then processed and analyzed using machine learning to determine stress levels. Compared with three other algorithms (neural network, discriminant analysis, and naïve Bayes), the k-nearest neighbor algorithm is most appropriate to use in the classification of time and frequency domain analysis.

scholarly journals Non-indigenous tunicate species in the Bay of Fundy, eastern Canada

2008 ◽  
Vol 65 (5) ◽  
pp. 770-774 ◽  
Author(s):  
Murielle M. LeGresley ◽  
Jennifer L. Martin ◽  
Paul McCurdy ◽  
Bruce Thorpe ◽  
Blythe D. Chang
Keyword(s):  
New England ◽  
Ciona Intestinalis ◽  
Bay Of Fundy ◽  
Botryllus Schlosseri ◽  
Eastern Canada ◽  
Lime Kiln ◽  
Botrylloides Violaceus ◽  
The Us ◽  
South Shore ◽  
Heavy Infestation

Abstract LeGresley, M. M., Martin, J. L., McCurdy, P., Thorpe, B., and Chang, B. D. 2008. Non-indigenous tunicate species in the Bay of Fundy, eastern Canada. – ICES Journal of Marine Science, 65: 770–774. The frequency of fouling tunicates is increasing in Atlantic Canada and along the New England coast of the US. Canadian shellfish industries in the Gulf of St Lawrence and along the south shore of Nova Scotia have been affected by the heavy infestation of fouling tunicates. Because little research on tunicates has been conducted in the Bay of Fundy, a Canadian monitoring programme was established to look for the non-indigenous tunicates Ciona intestinalis, Botryllus schlosseri, Didemnum sp. A, Botrylloides violaceus, and Styela clava, in southwest New Brunswick. Collectors were deployed at 11 stations in May/June 2006. Some were retrieved in August 2006; others remained until November of the same year. Ciona intestinalis had established at three survey sites, St Andrews Harbour, St Andrews Biological Station, and Fairhaven, Deer Island, but the heaviest infestation was in the Lime Kiln Bay–Charlie Cove area. The greatest settlement of B. schlosseri was at the Dipper Harbour site, with minimal settlements in St Andrews Harbour and Harbour de Loutre. The other species of interest were not detected during the survey.

scholarly journals Physiological Measurements of Stress Preceding Incidents of Challenging Behavior in People With Severe to Profound Intellectual Disabilities: Longitudinal Study Protocol of Single-Case Studies (Preprint)

2020 ◽  
Author(s):  
Rianne Simons ◽  
Renske Koordeman ◽  
Peter de Looff ◽  
Roy Otten
Keyword(s):  
Heart Rate ◽  
Challenging Behavior ◽  
Physiological Stress ◽  
Electrodermal Activity ◽  
Single Case ◽  
Well Being ◽  
Staff Members ◽  
Recurrence Quantification ◽  
Stress Levels ◽  
Cross Recurrence Quantification

BACKGROUND Clients with severe to profound intellectual disabilities (SPID) and challenging behavior (CB) and the professional caregivers that support them are vulnerable to high stress levels, which negatively impact their well-being and the quality of care. CB is thought to result from an increase in the intensity and frequency of clients’ stress experiences. In turn, staff members experience stress in dealing with this behavior, and stressed staff members might behave in ways that increase clients’ stress levels, contributing to the origin and maintenance of CB. Research into these dyadic interactions between clients and staff is scarce for people with SPID, especially in real-life situations. The barriers of studying stress in this population include clients’ difficulties in communicating stress experiences and the lack of an objective continuous measure of stress. OBJECTIVE This paper presents a protocol for studying patterns of physiological stress in 15 client-caregiver dyads in the 30 minutes preceding incidents of CB compared to control periods without CB and the interplay between the stress levels of clients and professional caregivers. METHODS We will conduct 15 single-case studies to assess patterns of physiological stress in dyads of clients with SPID and professional caregivers prior to CB in several Dutch residential institutes. Client-caregiver dyads will wear the Empatica E4 wristband for 20 sessions of 3 to 8 hours without interruptions of daily routines while caregivers report clients’ CB. The physiological measures obtained will be electrodermal activity (microsiemens) and heart rate (beats per minute). A multilevel model with repeated measures at the incident level nested within the person level will be applied, employing separate models for electrodermal activity and heart rate to compare stress levels in the 30 minutes prior to incidents with control epochs. Covariates in the models include movement, temperature, and gender. In addition, cross-recurrence quantification analyses will be performed to study the synchronization between the stress levels of clients and professional caregivers. RESULTS The Ethics Committee of the Radboud University (NL-number: NL71683.091.19) approved the study on February 12, 2020. In total, 15 organizations have declared their commitment to participate in the study. The first result is expected in the spring of 2022. CONCLUSIONS Study results will demonstrate whether changes in patterns of electrodermal activity and heart rate are apparent in the 30 minutes preceding an incident of CB compared to baseline levels when the client does not engage in CB. The synchronization between caregivers’ and clients’ physiological stress levels will be explored with cross-recurrence quantification analyses. Insights into the physiological stress levels of clients and caregivers may contribute to a reduction of CB and an improvement of both clients’ and caregivers’ safety and well-being. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/24911

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