scholarly journals Can Machine Learning Predict Stress Reduction Based on Wearable Sensors’ Data Following Relaxation at Workplace? A Pilot Study

Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 448
Author(s):  
Alessandro Tonacci ◽  
Alessandro Dellabate ◽  
Andrea Dieni ◽  
Lorenzo Bachi ◽  
Francesco Sansone ◽  
...  

Nowadays, psychological stress represents a burdensome condition affecting an increasing number of subjects, in turn putting into practice several strategies to cope with this issue, including the administration of relaxation protocols, often performed in non-structured environments, like workplaces, and constrained within short times. Here, we performed a quick relaxation protocol based on a short audio and video, and analyzed physiological signals related to the autonomic nervous system (ANS) activity, including electrocardiogram (ECG) and galvanic skin response (GSR). Based on the features extracted, machine learning was applied to discriminate between subjects benefitting from the protocol and those with negative or no effects. Twenty-four healthy volunteers were enrolled for the protocol, equally and randomly divided into Group A, performing an audio-video + video-only relaxation, and Group B, performing an audio-video + audio-only protocol. From the ANS point of view, Group A subjects displayed a significant difference in the heart rate variability-related parameter SDNN across the test phases, whereas both groups displayed a different GSR response, albeit at different levels, with Group A displaying greater differences across phases with respect to Group B. Overall, the majority of the volunteers enrolled self-reported an improvement of their well-being status, according to structured questionnaires. The use of neural networks helped in discriminating those with a positive effect of the relaxation protocol from those with a negative/neutral impact based on basal autonomic features with a 79.2% accuracy. The results obtained demonstrated a significant heterogeneity in autonomic effects of the relaxation, highlighting the importance of maintaining a structured, well-defined protocol to produce significant benefits at the ANS level. Machine learning approaches can be useful to predict the outcome of such protocols, therefore providing subjects less prone to positive responses with personalized advice that could improve the effect of such protocols on self-relaxation perception.

2018 ◽  
Author(s):  
Alicia Heraz ◽  
Manfred Clynes

BACKGROUND Emotions affect our mental health: they influence our perception, alter our physical strength, and interfere with our reason. Emotions modulate our face, voice, and movements. When emotions are expressed through the voice or face, they are difficult to measure because cameras and microphones are not often used in real life in the same laboratory conditions where emotion detection algorithms perform well. With the increasing use of smartphones, the fact that we touch our phones, on average, thousands of times a day, and that emotions modulate our movements, we have an opportunity to explore emotional patterns in passive expressive touches and detect emotions, enabling us to empower smartphone apps with emotional intelligence. OBJECTIVE In this study, we asked 2 questions. (1) As emotions modulate our finger movements, will humans be able to recognize emotions by only looking at passive expressive touches? (2) Can we teach machines how to accurately recognize emotions from passive expressive touches? METHODS We were interested in 8 emotions: anger, awe, desire, fear, hate, grief, laughter, love (and no emotion). We conducted 2 experiments with 2 groups of participants: good imagers and emotionally aware participants formed group A, with the remainder forming group B. In the first experiment, we video recorded, for a few seconds, the expressive touches of group A, and we asked group B to guess the emotion of every expressive touch. In the second experiment, we trained group A to express every emotion on a force-sensitive smartphone. We then collected hundreds of thousands of their touches, and applied feature selection and machine learning techniques to detect emotions from the coordinates of participant’ finger touches, amount of force, and skin area, all as functions of time. RESULTS We recruited 117 volunteers: 15 were good imagers and emotionally aware (group A); the other 102 participants formed group B. In the first experiment, group B was able to successfully recognize all emotions (and no emotion) with a high 83.8% (769/918) accuracy: 49.0% (50/102) of them were 100% (450/450) correct and 25.5% (26/102) were 77.8% (182/234) correct. In the second experiment, we achieved a high 91.11% (2110/2316) classification accuracy in detecting all emotions (and no emotion) from 9 spatiotemporal features of group A touches. CONCLUSIONS Emotions modulate our touches on force-sensitive screens, and humans have a natural ability to recognize other people’s emotions by watching prerecorded videos of their expressive touches. Machines can learn the same emotion recognition ability and do better than humans if they are allowed to continue learning on new data. It is possible to enable force-sensitive screens to recognize users’ emotions and share this emotional insight with users, increasing users’ emotional awareness and allowing researchers to design better technologies for well-being.


10.2196/10104 ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. e10104 ◽  
Author(s):  
Alicia Heraz ◽  
Manfred Clynes

Background Emotions affect our mental health: they influence our perception, alter our physical strength, and interfere with our reason. Emotions modulate our face, voice, and movements. When emotions are expressed through the voice or face, they are difficult to measure because cameras and microphones are not often used in real life in the same laboratory conditions where emotion detection algorithms perform well. With the increasing use of smartphones, the fact that we touch our phones, on average, thousands of times a day, and that emotions modulate our movements, we have an opportunity to explore emotional patterns in passive expressive touches and detect emotions, enabling us to empower smartphone apps with emotional intelligence. Objective In this study, we asked 2 questions. (1) As emotions modulate our finger movements, will humans be able to recognize emotions by only looking at passive expressive touches? (2) Can we teach machines how to accurately recognize emotions from passive expressive touches? Methods We were interested in 8 emotions: anger, awe, desire, fear, hate, grief, laughter, love (and no emotion). We conducted 2 experiments with 2 groups of participants: good imagers and emotionally aware participants formed group A, with the remainder forming group B. In the first experiment, we video recorded, for a few seconds, the expressive touches of group A, and we asked group B to guess the emotion of every expressive touch. In the second experiment, we trained group A to express every emotion on a force-sensitive smartphone. We then collected hundreds of thousands of their touches, and applied feature selection and machine learning techniques to detect emotions from the coordinates of participant’ finger touches, amount of force, and skin area, all as functions of time. Results We recruited 117 volunteers: 15 were good imagers and emotionally aware (group A); the other 102 participants formed group B. In the first experiment, group B was able to successfully recognize all emotions (and no emotion) with a high 83.8% (769/918) accuracy: 49.0% (50/102) of them were 100% (450/450) correct and 25.5% (26/102) were 77.8% (182/234) correct. In the second experiment, we achieved a high 91.11% (2110/2316) classification accuracy in detecting all emotions (and no emotion) from 9 spatiotemporal features of group A touches. Conclusions Emotions modulate our touches on force-sensitive screens, and humans have a natural ability to recognize other people’s emotions by watching prerecorded videos of their expressive touches. Machines can learn the same emotion recognition ability and do better than humans if they are allowed to continue learning on new data. It is possible to enable force-sensitive screens to recognize users’ emotions and share this emotional insight with users, increasing users’ emotional awareness and allowing researchers to design better technologies for well-being.


2017 ◽  
Vol 13 (2) ◽  
pp. 153
Author(s):  
Rina Lesiana ◽  
Kenanga Marwan Sikumbang ◽  
Istiana Istiana ◽  
Oky Susianto ◽  
Erida Wydiamala

Abstract: The main interest in general anesthesia is safety and the well being of the patient especially the stability of hemodynamic during induction until extubation. The most common causes of prolonging awakening are residual effects of drugs either anesthetics, sedatives, and analgesics. This study aimed to compare hemodynamic stability and recovery time between propofol and sevoflurane at Ulin General Hospital Banjarmasin. This was an observational analytic study conducted in July until November 2016 on 31 patients. The result showed that mean systolic blood pressure, diastolic blood pressure and heart rate for 90 minutes maintenance were no significant difference in group-A (propofol) compare with group-B (sevoflurane), post hoc Bonferroni test showing p>0.05. Mean recovery time to consciousness was faster in group-A (10,46 minutes) than group-B (15,59 minutes), there was no significant difference in two group. In conclusion, there was no significant difference in hemodynamic stability and recovery time between propofol and sevoflurane. Keywords: hemodynamic stability, recovery time, propofol, sevoflurane.


2019 ◽  
Vol 1 (4) ◽  
pp. 133-139
Author(s):  
Yasser Hamdy ◽  
Mohammed Mahmoud Mostafa ◽  
Ahmed Elminshawy

Background: Functional tricuspid valve regurgitation secondary to left-sided valve disease is common. DeVega repair is simple, but residual regurgitation with subsequent impairment of the right ventricular function is a concern. This study aims to compare tricuspid valve repair using DeVega vs. ring annuloplasty and their impact on the right ventricle in the early postoperative period and after six months. Methods: This is a prospective cohort study of 51 patients with rheumatic heart disease who underwent tricuspid valve repair for secondary severe tricuspid regurgitation. Patients were divided into two groups: group A; DeVega repair (n=34) and group B; ring annuloplasty repair (n=17). Patients were assessed clinically and by echocardiography before discharge and after six months for the degree of tricuspid regurgitation, right ventricular diameter and tricuspid annular plane systolic excursion (TAPSE). Results: Preoperative echocardiographic assessment showed no difference in left ventricular end-systolic diameter, end-diastolic diameter, ejection fraction and right ventricular diameter, however; group A had significantly better preoperative right ventricular function measured by TAPSE (1.96 ± 0.27 vs1.75 ± 0.31 cm; p=0.02). Group B had significantly longer cardiopulmonary bypass time (127.65 ± 13.56 vs. 111.74 ± 18.74 minutes; p= 0.003) and ischemic time (99.06 ± 11.80 vs. 87.15 ± 16.01 minutes; p= 0.009). Pre-discharge, there was no statistically significant difference in the degree of tricuspid regurgitation, but the right ventricular diameter was significantly lower in group B (2.66 ± 0.41 and 2.40 ± 0.48 cm; p=0.049). After six months of follow up, the degree of tricuspid regurgitation (p= 0.029) and the right ventricular diameter were significantly lower in the ring annuloplasty group (2.56 ± 0.39 and 2.29 ± 0.44 cm; p=0.029). Although there was a statistically significant difference in preoperative TAPSE, this difference disappeared after six months. Conclusion: Both DeVega and ring annuloplasty techniques were effective in the early postoperative period, ring annuloplasty was associated with lesser residual regurgitation and better right ventricular remodeling in severe functional tricuspid regurgitation than DeVega procedure after 6-months of follow up.


2020 ◽  
Vol 35 (3) ◽  
Author(s):  
Tayyaba Gul Malik ◽  
Hina Nadeem ◽  
Eiman Ayesha ◽  
Rabail Alam

Objective: To study the effect of short-term use of oral contraceptive pills on intra-ocular pressures of women of childbearing age.   Methods: It was a comparative observational study, conducted at Arif memorial teaching hospital and Allied hospital Faisalabad for a period of six months. Hundred female subjects were divided into two groups of 50 each. Group A, included females, who had been taking oral contraceptive pills (OCP) for more than 6 months and less than 36 months. Group B, included 50 age-matched controls, who had never used OCP. Ophthalmic and systemic history was taken. Careful Slit lamp examination was performed and intraocular pressures (IOP) were measured using Goldman Applanation tonometer. Fundus examination was done to rule out any posterior segment disease. After collection of data, we analyzed and compared the intra ocular pressures between the two groups by using ANOVA in SPSS version 21.   Results: Average duration of using OCP was 14.9 months. There was no significant difference of Cup to Disc ratios between the two groups (p= 0.109). However, significant difference was noted between the IOP of OCP group and controls. (p=0.000). Conclusion: OCP significantly increase IOP even when used for short time period.


Author(s):  
Rajendra Joshi ◽  
N. B. Mashetti ◽  
Rakesh Kumar Gujar

Dushta Vrana is a common and frequently encountered problem faced in surgical practice. The presence of Dushta Vrana worsens the condition of the patient with different complications and may become fatal. Local factors on wound like slough, infection and foreign body, affect the normal process of healing. A healthy wound in a normal body heals earlier with a minimum scar as compared to a contaminated wound. Therefore in this study all the efforts are made to make a Dushta Vrana into a Shuddha Vrana. Once the Vrana becomes Shuddha, Ropana of the Vrana will start. The objective of the study was to evaluate the clinical efficacy of Jatyadi Taila and Jatyadi Ghrita in Dushta Vrana. Clinically diagnosed 60 Patients of Dushta Vrana were randomly divided into two groups, each consisting of 30 Patients. Group A were treated with the Jatyadi Taila and Group B was treated by Jatyadi Ghrita. The results observed was based on the relief obtained on the subjective and objective parameters taken for consideration for this study viz, size of ulcer, discharge, smell, pain, burning sensation, itching and granulation were found significant (P Lass Than 0.05). On the basis of assessment criteria and overall result of treatment, the patients of Jatyadi Taila group showed better results when compared to Jatyadi Ghrita group. Even though statistically there is no much significant difference between the two groups, but by seeing the effect on individual parameters (subjective and objective) and over all response, Jatyadi Taila seems to be effective when compared to Jatyadi Ghrita. It is having more Ropana qualities when compared to Shodhana.


Author(s):  
Patil Aniket ◽  
Dindore Pallavi ◽  
Arbar Aziz ◽  
Kadam Avinash ◽  
Saroch Vikas

The quest for excellence in mental and physical health is not new. We find various references and formulations in Ayurvedic classics meant for promoting mental and physical health of a child. Suvarna Prashan is one of the formulations explained in age old Ayurvedic classic Kashyap Samhita. This formulation is very widely used now days as a memory and immune booster for children. But there is very little systematic documented study which can be used to evaluate the efficacy of the formulation. Suvarna Bhasma was prepared in Ayurved Rasayani Pharmacy, Pune. Madhu and Ghrita were collected from KLE Ayurveda Pharmacy, Belgaum. Suvarna Bindu Prashan was prepared in KLE Ayurved pharmacy, Belgaum. It contains Suvarna Bhasma, Ghrita and Madhu. Twenty apparently healthy male and female children with age group of three to four years were ready to sign inform consent form were selected into two groups each. Subjects in Group A received Suvarna Bindu Prashan where as Group B (Control group) did not receive any treatment. Both the groups were observed for six months. Children in Suvarna Bindu Prashan group showed significant reduction in the scores of eating habits, behavior, mood, temperament and scores of event of illness. However there was no significant difference in the score of sleeping habit. There was significant increase in IQ percentage.


Author(s):  
Mohamed I. Refaat ◽  
Amr K. Elsamman ◽  
Adham Rabea ◽  
Mohamed I. A. Hewaidy

Abstract Background The quest for better patient outcomes is driving to the development of minimally invasive spine surgical techniques. There are several evidences on the use of microsurgical decompression surgery for degenerative lumbar spine stenosis; however, few of these studies compared their outcomes with the traditional laminectomy technique. Objectives The aim of our study was to compare outcomes following microsurgical decompression via unilateral laminotomy for bilateral decompression (ULBD) of the spinal canal to the standard open laminectomy for cases with lumbar spinal stenosis. Subjects and methods Cases were divided in two groups. Group (A) cases were operated by conventional full laminectomy; Group (B) cases were operated by (ULBD) technique. Results from both groups were compared regarding duration of surgery, blood loss, perioperative complication, and postoperative outcome and patient satisfaction. Results There was no statistically significant difference between both groups regarding the improvement of visual pain analogue, while improvement of neurogenic claudication outcome score was significant in group (B) than group (A). Seventy-three percent of group (A) cases and 80% of group (B) stated that surgery met their expectations and were satisfied from the outcome. Conclusion Comparing ULBD with traditional laminectomy showed the efficacy of the minimally invasive technique in obtaining good surgical outcome and patient satisfaction. There was no statistically significant difference between both groups regarding the occurrence of complications The ULBD technique was found to respect the posterior spinal integrity and musculature, accompanied with less blood loss, shorter hospital stays, and shorter recovery periods than the open laminectomy technique.


Obesity Facts ◽  
2021 ◽  
pp. 1-9
Author(s):  
Serdar Sahin ◽  
Havva Sezer ◽  
Ebru Cicek ◽  
Yeliz Yagız Ozogul ◽  
Murat Yildirim ◽  
...  

<b><i>Introduction:</i></b> The aim of this was to describe the predictors of mortality related to COVID-19 infection and to evaluate the association between overweight, obesity, and clinical outcomes of COVID-19. <b><i>Methods:</i></b> We included the patients &#x3e;18 years of age, with at least one positive SARS-CoV-2 reverse transcriptase-polymerase chain reaction. Patients were grouped according to body mass index values as normal weight &#x3c;25 kg/m<sup>2</sup> (Group A), overweight from 25 to &#x3c;30 kg/m<sup>2</sup> (Group B), Class I obesity 30 to &#x3c;35 kg/m<sup>2</sup> (Group C), and ≥35 kg/m<sup>2</sup> (Group D). Mortality, clinical outcomes, laboratory parameters, and comorbidities were compared among 4 groups. <b><i>Results:</i></b> There was no significant difference among study groups in terms of mortality. Noninvasive mechanical ventilation requirement was higher in group B and D than group A, while it was higher in Group D than Group C (Group B vs. Group A [<i>p</i> = 0.017], Group D vs. Group A [<i>p</i> = 0.001], and Group D vs. Group C [<i>p</i> = 0.016]). Lung involvement was less common in Group A, and presence of hypoxia was more common in Group D (Group B vs. Group A [<i>p</i> = 0.025], Group D vs. Group A [<i>p</i> &#x3c; 0.001], Group D vs. Group B [<i>p</i> = 0.006], and Group D vs. Group C [<i>p</i> = 0.014]). The hospitalization rate was lower in Group A than in the other groups; in addition, patients in Group D have the highest rate of hospitalization (Group B vs. Group A [<i>p</i> &#x3c; 0.001], Group C vs. Group A [<i>p</i> &#x3c; 0.001], Group D vs. Group A [<i>p</i> &#x3c; 0.001], Group D vs. Group B [<i>p</i> &#x3c; 0.001], and Group D vs. Group C [<i>p</i> = 0.010]). <b><i>Conclusion:</i></b> COVID-19 patients with overweight and obesity presented with more severe clinical findings. Health-care providers should take into account that people living with overweight and obesity are at higher risk for COVID-19 and its complications.


BMC Urology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ben Xu ◽  
Si-da Cheng ◽  
Yi-ji Peng ◽  
Qian Zhang

Abstract Background To compare the functional and oncological outcomes between innovative “three-port” and traditional “four-port” laparoscopic radical prostatectomy (LRP) in patients with prostate cancer (PCa). Methods We retrospectively collected the data of PCa patients treated at our institutions from June 2012 to May 2016. According to the inclusion criteria, a total of 234 patients were included in the study, including 112 in group A (four-port) and 122 in group B (three-port). The perioperatively surgical characteristics, functional and oncological outcomes were compared between groups. Results There were no statistical differences in the baseline parameters between these two groups. Compared with group A, the operative time (OT) and estimated blood loss (EBL) were significantly less in group B. On follow-up, the rate of positive surgical margin (PSM), prostate specific antigen (PSA) biochemical recurrence and continence after LRP did not show any statistically significant difference between the groups. An identical conclusion was also received in comparison of overall survival (OS) and biochemical recurrence-free survival (BRFS) between both groups. Conclusions Innovative “three-port” LRP can significantly shorten the OT and reduce the EBL compared with the traditional “four-port” LRP. Meanwhile, it does not increase the rate of PSM and PSA biochemical recurrence. “Three-port” LRP could be popularized in the future in view of its superior surgical technique, considerably better functional outcomes and remarkable oncological control.


Sign in / Sign up

Export Citation Format

Share Document