scholarly journals Skin Conductance as Proxy for the Identification of Hydration Level in Human Body

Author(s):  
A. Rizwan ◽  
A. Zoha ◽  
A. Alomainy ◽  
N.A. Ali ◽  
M.A. Imran ◽  
...  
Author(s):  
Yuqian Wang ◽  
Mingyan Jiang ◽  
Yinshu Huang ◽  
Zhiyi Sheng ◽  
Xiao Huang ◽  
...  

This study illustrated the physiological and psychological effects of watching videos of different durations showing bamboo forests with varied structures. Physiological indicators, including EEG (electroencephalogram), blood pressure, skin conductance, and pulse, were monitored in 180 Chinese university students (mean age: 20.72 ± 2.56 years) while they were watching bamboo videos. Before and after watching the videos, their psychological indicators, including positive and negative moods, were measured using the Profile of Mood States questionnaire. After watching the bamboo videos of different durations, all of the physiological indicators responded to the stimulation after only 1 min. The indicators showed different trends at 1, 3 and 5 min. EEG decreased and then was maintained at a stable level after 1 min, and the high β, low β, and α waves had no significant differences between 1, 3 and 5 min. Blood pressure dropped to a stable state after 3 min, and the decline was significantly different greater after 3 min than after 1 min. Skin conductance increased for 1 to 5 min, and it did not stabilize after a long time (5 min). Pulse decreased after 1 min but increased after 5 min. After watching the videos with bamboo of varying structures, the physiological and psychological indicators showed significantly different changes. Skin conductance significantly increased (mean value: 6.78%), and the amount of sweat was more effectively reduced, thereby reducing tension, when the students viewed videos of sympodial bamboo forests compared with monopodial bamboo forests. Bamboo forests with a higher canopy density (0.83–0.85) could significantly decrease α waves (mean value: 1.50 Hz), relaxing the human body. High β and low β waves showed greater decreases, with tension reduced more effectively, when bamboo forests with a low tilt ratio (< 1.5%) were viewed. Bamboo forests with neat undergrowth could have more beneficial physiological and psychological effects on the human body.


Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1086 ◽  
Author(s):  
Sidrah Liaqat ◽  
Kia Dashtipour ◽  
Kamran Arshad ◽  
Naeem Ramzan

Dehydration and overhydration can help to improve medical implications on health. Therefore, it is vital to track the hydration level (HL) specifically in children, the elderly and patients with underlying medical conditions such as diabetes. Most of the current approaches to estimate the hydration level are not sufficient and require more in-depth research. Therefore, in this paper, we used the non-invasive wearable sensor for collecting the skin conductance data and employed different machine learning algorithms based on feature engineering to predict the hydration level of the human body in different body postures. The comparative experimental results demonstrated that the random forest with an accuracy of 91.3% achieved better performance as compared to other machine learning algorithms to predict the hydration state of human body. This study paves a way for further investigation in non-invasive proactive skin hydration detection which can help in the diagnosis of serious health conditions.


2021 ◽  
Author(s):  
Sidrah Liaqat ◽  
Kia Dashtipour ◽  
Ali Rizwan ◽  
Muhammad Usman ◽  
Syed Aziz Shah ◽  
...  

Abstract Personalized hydration level monitoring play vital role in sports, health, wellbeing and safety of a person while performing particular set of activities. Clinical staff must be mindful of numerous physiological symptoms that identify the optimum hydration specific to the person, event and environment. Hence, it becomes extremely critical to monitor the hydration levels in a human body to avoid potential complications and fatalities. Hydration tracking solutions available in the literature are either inefficient and invasive or require clinical trials. An efficient hydration monitoring system is very required, which can regularly track the hydration level, non-invasively. To this aim, this paper proposes a machine learning (ML) and deep learning (DL) enabled hydration tracking system, which can accurately estimate the hydration level in human skin using galvanic skin response (GSR) of human body. For this study, data is collected, in three different hydration states, namely hydrated, mild dehydration (8 hours of dehydration) and extreme mild dehydration (16 hours of dehydration), and three different body postures, such as sitting, standing and walking. Eight different ML algorithms and four different DL algorithms are trained on the collected GSR data. Their accuracies are compared and a hybrid (ML+DL) model is proposed to increase the estimation accuracy. It can be reported that hybrid Bi-LSTM algorithm can achieve an accuracy of 97.83%.


2020 ◽  
Vol 20 (9) ◽  
pp. 4891-4900 ◽  
Author(s):  
Ali Rizwan ◽  
Najah Abu Ali ◽  
Ahmed Zoha ◽  
Metin Ozturk ◽  
Akram Alomainy ◽  
...  

Author(s):  
Shulin Wen ◽  
Jingwei Feng ◽  
A. Krajewski ◽  
A. Ravaglioli

Hydroxyapatite bioceramics has attracted many material scientists as it is the main constituent of the bone and the teeth in human body. The synthesis of the bioceramics has been performed for years. Nowadays, the synthetic work is not only focused on the hydroapatite but also on the fluorapatite and chlorapatite bioceramics since later materials have also biological compatibility with human tissues; and they may also be very promising for clinic purpose. However, in comparison of the synthetic bioceramics with natural one on microstructure, a great differences were observed according to our previous results. We have investigated these differences further in this work since they are very important to appraise the synthetic bioceramics for their clinic application.The synthetic hydroxyapatite and chlorapatite were prepared according to A. Krajewski and A. Ravaglioli and their recent work. The briquettes from different hydroxyapatite or chlorapatite powders were fired in a laboratory furnace at the temperature of 900-1300°C. The samples of human enamel selected for the comparison with synthetic bioceramics were from Chinese adult teeth.


Author(s):  
Tong Wensheng ◽  
Lu Lianhuang ◽  
Zhang Zhijun

This is a combined study of two diffirent branches, photogrammetry and morphology of blood cells. The three dimensional quantitative analysis of erythrocytes using SEMP technique, electron computation technique and photogrammetry theory has made it possible to push the study of mophology of blood cells from LM, TEM, SEM to a higher stage, that of SEM P. A new path has been broken for deeply study of morphology of blood cells.In medical view, the abnormality of the quality and quantity of erythrocytes is one of the important changes of blood disease. It shows the abnormal blood—making function of the human body. Therefore, the study of the change of shape on erythrocytes is the indispensable and important basis of reference in the clinical diagnosis and research of blood disease.The erythrocytes of one normal person, three PNH Patients and one AA patient were used in this experiment. This research determines the following items: Height;Length of two axes (long and short), ratio; Crevice in depth and width of cell membrane; Circumference of erythrocytes; Isoline map of erythrocytes; Section map of erythrocytes.


1998 ◽  
Vol 23 (4) ◽  
pp. 382-387 ◽  
Author(s):  
James O. Ochanda ◽  
Eva A. C. Oduor ◽  
Rachel Galun ◽  
Mabel O. Imbuga ◽  
Kosta Y. Mumcuoglu

2017 ◽  
Vol 31 (4) ◽  
pp. 145-157 ◽  
Author(s):  
Laina E. Rosebrock ◽  
Denada Hoxha ◽  
Catherine Norris ◽  
John T. Cacioppo ◽  
Jackie K. Gollan

Abstract. Skin conductance (SC), an autonomic arousal measure of the sympathetic nervous system, is a sensitive and useful index of physiological arousal. However, SC data does not always align with self-reports of arousal. SC, self-reported arousal, and their association, known as emotion coherence, may be altered with the presence of major psychiatric illness. This study investigated group differences on SC reactivity and self-reported arousal while viewing positive, negative, neutral, and threat images between participants diagnosed with major depression with and without anxiety disorders relative to a healthy comparison group. Additionally, the strength and direction of association between SC reactivity and arousal ratings (emotion coherence) was examined within groups. Unmedicated participants were recruited via online and paper advertisements around Chicago and categorized into one of four groups (Depressed: n = 35, Anxious: n = 44, Comorbid: n = 38, Healthy: n = 29). SC and affect ratings were collected during and after a standardized emotional picture viewing task. SC reactivity was significantly higher during threat images, regardless of group. During threat image presentation, increased SC reactivity occurred during the last few seconds before picture offset; for all other stimulus types, SC reactivity decreased significantly after picture offset. Anxious and comorbid participants rated emotional images as more arousing than healthy participants; there were no observed differences in arousal ratings between depressed and healthy participants. Heightened reactivity in anxiety may manifest in arousal ratings without corresponding increased SC reactivity to emotional images. Results do not suggest underlying altered psychophysiology in this sample of depressed or anxious participants.


Author(s):  
Kevin Wise ◽  
Hyo Jung Kim ◽  
Jeesum Kim

A mixed-design experiment was conducted to explore differences between searching and surfing on cognitive and emotional responses to online news. Ninety-two participants read three unpleasant news stories from a website. Half of the participants acquired their stories by searching, meaning they had a previous information need in mind. The other half of the participants acquired their stories by surfing, with no previous information need in mind. Heart rate, skin conductance, and corrugator activation were collected as measures of resource allocation, motivational activation, and unpleasantness, respectively, while participants read each story. Self-report valence and recognition accuracy were also measured. Stories acquired by searching elicited greater heart rate acceleration, skin conductance level, and corrugator activation during reading. These stories were rated as more unpleasant, and their details were recognized more accurately than similar stories that were acquired by surfing. Implications of these results for understanding how people process online media are discussed.


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