scholarly journals RECOVARI – Efficacy and Safety of Massage on Surgical Stress in Colorectal Cancer Patients: Study Protocol for A Randomized Controlled, Three-Arm Parallel Group, Clinical Trial

2021 ◽  
Author(s):  
Paul Georg Werthmann ◽  
Dirk Cysarz ◽  
Johannes Naumann ◽  
Monique van Dijk ◽  
Roman Huber ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Physiological Stress ◽  
Surgical Stress ◽  
Surgical Techniques ◽  
Well Being ◽  
Randomized Controlled ◽  
Parallel Group ◽  
Stress Relieving

Abstract • Background: Patients’ physiological stress reactions to surgery have been ameliorated by refining surgical techniques, and improving pain therapy. Moreover, another way to reduce stress could be the use of Rhythmical embrocation (RE), a type of bodily massage applied with soft strokes, which has been shown to reduce the subject’s pulse rate and blood pressure. This trial will investigate whether RE is effective to reduce stress, and what effects it exerts on sleep quality, nausea and vomiting, pain, medication consumption, mood, mobility, and length of hospital. Furthermore, the occurrence of complications associated with RE will be established. • Methods: A randomized controlled, three-arm parallel group trial will include 60 patients with colorectal cancer scheduled for surgery, randomized into three different intervention groups: (1) RE performed by professionals, (2) RE performed by students; and (3) empathic conversation. The intervention will be performed twice daily over four consecutive postoperative days. Before and after the intervention days, heart rate variability (primary outcome) will be established overnight as a measure of stress. The patients will fill out questionnaires on pain, sleep, nausea/vomiting and well-being. Possible complications from RE will be recorded daily. Vital signs, medication and surgery data will be retrieved from the patient record. Nursing students will be interviewed about job satisfaction, empathy and their identification with RE.• Discussion: Massage has been shown to have stress relieving effects. However, it’s effectiveness in clinical settings is rarely investigated. With the postoperative setting we investigate massage in a situation of high physiological stress. Reduction of stress perioperatively has shown to reduce complications and improve recovery. With heart rate variability we include a physiologic, objective parameter to supplement them against the questionnaire responses of patients. Massage might reduce stress in stressful situations in healthcare and contribute to a better outcome of these patients. Trial registration: The trial has been registered in the German Clinical Trials Register (DRKS) under the ID DRKS00023407 on 2nd November 2020. The trial was approved by the ethics committee of the University Medical Center Freiburg under the number 356/20 on 20th October 2020.

scholarly journals Predictive Value of Subacute Heart Rate Variability for Determining Outcome Following Adolescent Concussion

2021 ◽  
Vol 10 (1) ◽  
pp. 161
Author(s):  
Colt A. Coffman ◽  
Jacob J. M. Kay ◽  
Kat M. Saba ◽  
Adam T. Harrison ◽  
Jeffrey P. Holloway ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Cognitive Performance ◽  
Predictive Value ◽  
System Integration ◽  
Sports Medicine ◽  
Clinical Symptoms ◽  
Physiological Stress ◽  
Neurological Dysfunction ◽  
Neurobehavioral Function

Objective assessments of concussion recovery are crucial for facilitating effective clinical management. However, predictive tools for determining adolescent concussion outcomes are currently limited. Research suggests that heart rate variability (HRV) represents an indirect and objective marker of central and peripheral nervous system integration. Therefore, it may effectively identify underlying deficits and reliably predict the symptomology following concussion. Thus, the present study sought to evaluate the relationship between HRV and adolescent concussion outcomes. Furthermore, we sought to examine its predictive value for assessing outcomes. Fifty-five concussed adolescents (12–17 years old) recruited from a local sports medicine clinic were assessed during the initial subacute evaluation (within 15 days postinjury) and instructed to follow up for a post-acute evaluation. Self-reported clinical and depressive symptoms, neurobehavioral function, and cognitive performance were collected at each timepoint. Short-term HRV metrics via photoplethysmography were obtained under resting conditions and physiological stress. Regression analyses demonstrated significant associations between HRV metrics, clinical symptoms, neurobehavioral function, and cognitive performance at the subacute evaluation. Importantly, the analyses illustrated that subacute HRV metrics significantly predicted diminished post-acute neurobehavioral function and cognitive performance. These findings indicate that subacute HRV metrics may serve as a viable predictive biomarker for identifying underlying neurological dysfunction following concussion and predict late cognitive outcomes.

249 Overnight heart rate variability depends on age, gender, and day of the week: a field observation using a smart bed platform

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A100-A101
Author(s):  
Shawn Barr ◽  
Kwanghyun Sohn ◽  
Gary Garcia
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Physiological Stress ◽  
Large Population ◽  
Population Level ◽  
Large Set ◽  
Sleep State ◽  
Cross Sectional ◽  
Day Of The Week ◽  
Broad Interest

Abstract Introduction Heart rate variability (HRV) is commonly used to assess the activity of the autonomic nervous system (ANS). ANS function changes, reflected in HRV, result from factors including lifestyle, aging, cardiorespiratory illnesses, sleep state, and physiological stress. Despite broad interest in HRV, few studies have established normative overnight HRV values for a large population. To better understand population level HRV changes, ecologically-valid, overnight sleep SDNN (standard deviation of all normal heartbeat intervals, lower HRV is reflected by lower SDNN) values have been analyzed for a large sample of Sleep Number 360 smart bed users. Methods Overnight SDNN values were obtained over the course of 18.2M sleep sessions from 379,225 sleepers (48 ± 14.7 sessions/user). 50.9 percent of sleepers were female. The age was normally distributed with mean ± SD of 52.8 ± 12.7 years (range 21 to 84). Heartbeat intervals used to compute SDNN were extracted from a ballistocardiogram (BCG). BCG-based HRV estimation during sleep has previously been validated against ECG-based HRV with an R-square of 0.5. Results Using a Generalized Linear Model, significant cross-sectional associations with SDNN were observed for three variables of interest: age, gender, and day-of-the-week. For sleepers under 50, SDNN declined at a rate of about 2.1 ms/year, then leveled off for sleepers aged 50-65, and increased slightly thereafter. Women under 50 displayed lower, more slowly declining, SDNN values than men, but this trend reversed for sleepers over 50. Throughout the week, SDNN values followed a U-shaped (women) or L-shaped (men) pattern, where values were highest during the weekend and lowest at mid-week. Conclusion Using a smart bed to unobtrusively measure overnight SDNN values for a large set of sleepers in an ecologically valid environment, reveals significant effects of age, gender, and day of the week on overnight SDNN. Support (if any):

scholarly journals Trends in Heart-Rate Variability Signal Analysis

2021 ◽  
Vol 3 ◽  
Author(s):  
Syem Ishaque ◽  
Naimul Khan ◽  
Sri Krishnan
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Electrodermal Activity ◽  
Well Being ◽  
Good Health ◽  
Machine Learning Techniques ◽  
Video Gaming ◽  
Clinical Events ◽  
Learning Techniques

Heart rate variability (HRV) is the rate of variability between each heartbeat with respect to time. It is used to analyse the Autonomic Nervous System (ANS), a control system used to modulate the body's unconscious action such as cardiac function, respiration, digestion, blood pressure, urination, and dilation/constriction of the pupil. This review article presents a summary and analysis of various research works that analyzed HRV associated with morbidity, pain, drowsiness, stress and exercise through signal processing and machine learning methods. The points of emphasis with regards to HRV research as well as the gaps associated with processes which can be improved to enhance the quality of the research have been discussed meticulously. Restricting the physiological signals to Electrocardiogram (ECG), Electrodermal activity (EDA), photoplethysmography (PPG), and respiration (RESP) analysis resulted in 25 articles which examined the cause and effect of increased/reduced HRV. Reduced HRV was generally associated with increased morbidity and stress. High HRV normally indicated good health, and in some instances, it could signify clinical events of interest such as drowsiness. Effective analysis of HRV during ambulatory and motion situations such as exercise, video gaming, and driving could have a significant impact toward improving social well-being. Detection of HRV in motion is far from perfect, situations involving exercise or driving reported accuracy as high as 85% and as low as 59%. HRV detection in motion can be improved further by harnessing the advancements in machine learning techniques.

Autonomic and Perceptual Responses to Induction of a Ketogenic Diet in Free-Living Endurance Athletes: A Randomized, Crossover Trial

2020 ◽  
pp. 1-7
Author(s):  
Ed Maunder ◽  
Deborah K. Dulson ◽  
David M. Shaw
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Exercise Capacity ◽  
Ketogenic Diet ◽  
Physiological Stress ◽  
Endurance Performance ◽  
Endurance Athletes ◽  
Recovery Stress ◽  
Individual Level ◽  
Dietary Shift

Purpose: Considerable interindividual heterogeneity has been observed in endurance performance responses following induction of a ketogenic diet (KD). It is plausible that a physiological stress response in the period following the dramatic dietary shift associated with transition to a KD may explain this heterogeneity. Methods: In a randomized, crossover study design, 8 trained male runners completed an incremental exercise test and ran to exhaustion at 70%VO2max before and after a 31-day rigorously controlled habitual diet or KD intervention, and recorded heart rate variability (root mean square of the sum of successive differences in R–R intervals [rMSSD]) upon waking each morning along with the recovery–stress questionnaire for athletes each week. Data were analyzed using linear mixed models. Results: A significant reduction in rMSSD was observed in the KD (−9.77 [4.03] ms, P = .02), along with an increase in day-to-day variability in rMSSD (2.1% [1.0%], P = .03). The reduction in rMSSD in the KD for the subgroup of individuals exhibiting impaired exercise capacity following induction of the KD approached significance (Δ −22 [15] ms, P = .06, N = 4); whereas no effect was observed in those who exhibited unchanged exercise capacity (Δ 5 [18] ms, P = .61, N = 4). No main effects were observed for recovery–stress questionnaire for athletes. Conclusions: Our data suggest those working with endurance athletes transitioning onto a KD may consider using noninvasive, inexpensive resting heart rate variability measures to gain individual-level insights into the likely short-term effects on exercise capacity.

scholarly journals Effects of yoga breathing practice on heart rate variability in healthy adolescents: a randomized controlled trial

2020 ◽  
Vol 9 (1) ◽  
pp. 28-32 ◽  
Author(s):  
Maheshkumar Kuppusamy ◽  
Dilara Kamaldeen ◽  
Ravishankar Pitani ◽  
Julius Amaldas ◽  
Padmavathi Ramasamy ◽  
...  
Keyword(s):  
Heart Rate ◽  
Randomized Controlled Trial ◽  
Heart Rate Variability ◽  
Controlled Trial ◽  
Randomized Controlled
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