Phone Users Research Articles

Wireless Caller ID Display for Bikers

Abstract: The project's primary focus is a Bluetooth-enabled mobile phone interface. The Arduino microcontroller in this project is also programmed using the Arduino IDE software through a USB port on the Arduino board. The Bluetooth module HC-05 operates on serial communicationand receives serial information via a software program. Thedata is sent through the Bluetooth module after being received from the app. The DC unit on the bike can be connected to the DC supply. The application begins to function in real time as soon as the bike is turned on. AfterBluetooth receives a serial transmission from the user's phone, it is sent to an Arduino board for processing before being displayed on an LCD screen to show caller ID details,including the user's mobile number. Additionally, the display alerts the user or provides a warning to stop the bike. In this instance, the cell phone serves as a transmitting tool.Because Android phones can operate software applicationsand use Bluetooth, they are the required device for the user's phone. Global systems for mobile communication (GSM) are not recommended since they could end up being more expensive.

Parents’ Views on Mobile Phone Use

Mobile phones have become almost ubiquitous, including the lives of parents of young children. This paper examined the question of how parents with young children living in Norway perceive their phone usage. Twelve parents were interviewed individually about situations and for what purposes they used their phones, whether they had discussed mobile media with others and how they felt about it. Interviews were analyzed thematically. Parents reported using their phones mainly for information seeking and communication and networking in their role as parents. Mobile phones were evaluated as positive or helpful to parents. However, situations that were deemed to require parents’ focused attention, such as playing or book-reading were considered inappropriate for using mobile phones, as were mealtimes. Situations in which children were occupied with playing or watching TV were considered acceptable for using mobile phones. Visits to the playground seemed controversial and situational. Being present emerged as a major theme of good parenting and even though brief and important usages of the phone were considered somewhat acceptable while with children, many parents reported feeling guilty about their usage. Several usage reduction strategies were described such as muting the phone or certain notifications or putting the phone away. Despite national guidelines recommending the topic, the majority had not received information about parental screen use from health care personnel. In contrast, many had discussed the topic with friends and family members, sometimes controversially. The results are briefly discussed in light of the previous research and the societal conditions in Norway.

Examining the Prevalence of Musculoskeletal Problems Related to Mobile Phone Usage and Providing Corrective Solutions to Dental Students of Jundishapur University of Medical Sciences, Ahvaz

Objectives: The present study aimed to assess the prevalence of musculoskeletal problems related to mobile phone usage and provide corrective solutions for dental students of Jundishapur University of Medical Sciences, Ahvaz. Methods: The current study was conducted based on an analytical cross-sectional design. In order to collect relevant data, such as the presence of pain in the upper limbs, back, and neck, questionnaires and instrumental methods were used. Students were examined in two groups: the first group included 150 dental students up to the 4th semester, and the second group encompassed 150 dental students from the 5th semester onwards (3rd, 8th, 5th, and 6th year). Data collection instruments were demographic characteristic form, nomophobia questionnaire (NMP-Q), neck disability index (NDI), and Cornell hand discomfort questionnaire (CHDQ). Results: According to the results of the present study, the prevalence of nomophobia among dental students of Jundishapur University of Medical Sciences in Ahvaz was at an average level. The mean NDI score was 16.20, and the mean pain score among the students was 1.72. Moreover, 46.5% of students had pain in the hand area, and the highest amount of pain was reported in the F area. The mean score of Cornell's musculoskeletal disorders was reported as 2.72. Conclusion: Examining the relationship between the pain area and the year of entry to the university demonstrated a significant relationship between the year of entry to the university and the pain area. In this regard, the incoming students 2021-22 had the greatest amount of pain. According to the results of the corrective intervention on skeletal disorders in the wrist and neck region, the mean scores of the variables increased significantly after the intervention and corrective measures.

Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor Data

Smartphones can unobtrusively capture human behavior and contextual data such as user interaction and mobility. Thus far, smartphone sensor data have primarily been used to gain behavioral insights through correlation analysis. This article provides a tutorial on the causal analysis of human behavior using smartphone sensor data by reviewing well-known matching methods. The key steps of the causal inference pipeline employing matching methods are illustrated using a concrete scenario involving the identification of a causal relationship between phone usage and physical activity. Several practical considerations for conducting causal inferences about human behaviors using smartphone sensor data are also discussed.

A STRONG AND PRACTICAL AUTHENTICATION MECHANISM USING PASSTEXT AND ONE MINUTE PASSCODE

In this modern world, hacking is growing faster, and there is no privacy for personal data. Therefore, we have decided to create passwords using new methods. This project demonstrates that there is no secret shared between the user and strangers; it presents a one minute challenge to unlock private data. Our project generates random codes minute by minute, and each password is only valid for just one minute, which is called OMP (One Minute Passcode). Therefore, the user doesn't know the correct password at all times. These passkeys are then sent to the user's mobile phone using the Twilio method, which is more secure and provided by Google to communicate through secret authentication methods and tokens. Thus, hacking becomes impossible with this level of complexity. In the future, if there's a possibility of hacking, we will update the cipher methods to unlock the data. Nowadays, the usage of PCs and mobile phones has increased rapidly. What if the passwords are not known by the user or strangers in this modern technology. Our project ensures privacy between users and hackers or strangers; secret passwords may sometimes be compromised, but random passwords will never be known to users or strangers. This idea is used here to maintain safety while unlocking our privacy or private sectors by creating random codes and sending them to the user's mobile IP value or number. We can easily unlock our device in a non-hackable form using brute force and Twilio, which are the main components of our data protection system. In the older authentication method, there were only 6-digit numbersto unlock data, which were available only for apps. Like an OTP, this method randomly generates a 6-digit code to unlock the private sector, which is available on the same phone or PC. This makes it easy for hackers to access details using your phone number or email. These passkeys are dynamic and not stable at all times, and theirsize istoo small. A relational database plays a major role here, we also use the emergency password method for user convenience. KEYWORDS: Security Authentication, Twilio, Database, Spyware attacks, Hacking, Password Authentication,Database.

Perception of drivers toward road safety and factors that cause road accidents in Riyadh city of Saudi Arabia

Injury as a result of road traffic accidents (RTA) is one of the leading causes of death and disability-adjusted life years. Strategies to handle this major public health problem, which has significant consequences for the Saudi economy and families, have been underway for many years but with very little success. This study’s main aim is to determine respondents’ perceptions of traffic safety and the factors that lead to road traffic accidents. It is a cross-sectional study conducted on randomly selected university students, faculty drivers, and visitors using King Saud University’s parking facility. Data were collected from 381 drivers using a pretested questionnaire, which comprises questions intended to attain the study’s objectives. The critical factors affecting traffic safety are public information followed by road maintenance, Garage, vehicle inspection, Road design and equipment, Training of drivers, Sanctions and Police enforcement, Protective devices and vehicle design, and post-accidental care. Road traffic accidents were found to be 39.0% with respondents aged less than 20 years, followed by ages between 20–35 years, which was 34.8%, and only 2.4% above 50 years. The most frequent occurrence of road traffic accidents was angle collision (39.0%) and back collision (18.9%), followed by hitting a fixed object (17.7%). Distraction habits during driving include cell phone usage (56.7%), followed by smoking (24.4%), and eating and drinking (18.9%) while driving. The most common traffic violations were increased speed limit (48.1) and loss of driving license (11.8%). The most common injuries were head (39.0%) and limbs (22.0%). A significant association between drivers’ age during the accident and distraction habits has been found (p < 0.000). The study demonstrated that drinking/eating, cell phone use, and violation of traffic rules are significant reasons for RTA. The findings of this study will contribute to a more comprehensive knowledge of road traffic accidents for the formation of effective strategies and evidence-based policies for the prevention of accidents.

Using Sensor-Captured Patient-Generated Data to Support Clinical Decision-making in PTSD Therapy

Today, clinicians have limited visibility into the quality of homework exercises that occur outside of the clinical context; however, understanding patient performance in these exercises is essential for guiding patient-centered care. To address this, we present the Clinician Homework Review (CHR), a unique measure and interface that displays similarity ratings calculated using sensor-captured patient-generated data (sPGD; i.e. heart rate, phone usage, ambient noise, and physical activity) for therapeutic exercises outside of the clinical setting within the post-traumatic stress disorder (PTSD) treatment context. Through concept testing sessions with 10 clinicians, we examine how sPGD can be leveraged to measure and investigate what contributes to patient performance in a therapeutic exercise. We also share in-depth information regarding clinician interpretation and planned use of data displayed by CHR in clinical sessions with patients. We frame our results in the context of situated objectivity and propose the notion of "perceived reference weight," which describes the significance attributed to contextualized data. In doing so, we support clinical decision-making in PTSD therapy.

Digital opportunities for the distribution of index‐based microinsurance: Evidence from a discrete choice experiment in Mali

AbstractIndex‐based microinsurance is a promising risk management tool for smallholder farmers. Recently, several mobile‐delivered insurance schemes have entered the market. Depending on the degree of digitisation of the product, farmers can learn about the insurance, register, pay premiums and receive payouts via a mobile phone. As cell phone usage and network coverage constantly increase, digitally enabled insurance distribution may overcome previous barriers for insurance adoption. Still, farmers' preferences for these products remain largely unknown. We address this knowledge gap by means of a discrete choice experiment applied to 499 maize farmers in Mali. The experiment presents an easy‐to‐understand multi‐peril crop insurance linked to a greenness index. It focuses on attributes related to the distribution channel and product design. Using mixed logit models, we find that the insurance attributes enabled by mobile‐delivery are attractive to farmers. Product bundles that include mobile‐delivered weather information and agricultural advice in addition to the insurance policy or credit access increase the likelihood of farmers taking out insurance. Similarly, recommendations from fellow farmers increase interest in the insurance product. The results are highly relevant for future product improvements that are needed to increase adoption rates and ultimately realise the loss‐hedging potential of microinsurance.

Evaluating the Acceptability and Feasibility of Collecting Passive Smartphone Data to Estimate Psychological Functioning in U.S. Service Members and Veterans: A Pilot Study.

This study investigated the acceptability and feasibility of digital phenotyping in a military sample with a history of traumatic brain injury and co-occurring psychological and cognitive symptoms. The first aim was to evaluate the acceptability of digital phenotyping by (1a) quantifying the proportion of participants willing to download the app and rates of dropout and app discontinuation and (1b) reviewing the stated reasons for both refusing and discontinuing use of the app. The second aim was to investigate technical feasibility by (2a) characterizing the amount and frequency of transferred data and (2b) documenting technical challenges. Exploratory aim 3 sought to leverage data on phone and keyboard interactions to predict if a participant (a) is depressed and (b) has depression that improves over the course of the study. A passive digital phenotyping app (Mindstrong Discovery) functioned in the background of the participants' smartphones and passively collected phone usage and typing kinematics data. Fifteen out of 16 participants (93.8%) consented to install the app on their personal smartphone devices. Four participants (26.7%) discontinued the use of the app partway through the study, primarily because of keyboard usability and technical issues. Fourteen out of 15 participants (93.3%) had at least one data transfer, and the median number of days with data was 40 out of a possible 57 days. The exploratory machine learning models predicting depression status and improvement in depression performed better than chance. The findings of this pilot study suggest that digital phenotyping is acceptable and feasible in a military sample and provides support for future larger investigations of this technology.

Effect of Educational Intervention on Reducing Mobile Phone Addiction: Application of Transtheoretical Model

Background: Mobile phone addiction (MPA) among students leads to significant psychological changes. Therefore, modifying mobile phone usage (MPU) patterns using behavioral change theories and models can be beneficial. The transtheoretical model (TTM) is commonly employed in the field of addictive behaviors. Objectives: This study aimed to assess the effect of an intervention based on TTM on MPA in female primary school students. Methods: This experimental study included 72 students (36 participants in each group) randomly selected from girls' primary schools in Bushehr. The data collection tool comprised a questionnaire covering demographic factors, stage of changes, decisional balance (DC), self-efficacy (SE), excessive mobile phone use, and an MPA questionnaire. The training was conducted through motivational interview sessions: Two for participants in the preparation stage and three for those in the pre-contemplation and contemplation stages, utilizing the constructs of the TTM. After 3 months, the collected data were analyzed using SPSS software with a significance level of less than 0.05. Results: The findings indicated similarities between the two groups before the study. Following the intervention, the training led to a significant increase in the mean score of SE and DC distribution count of excessive MPU (P = 0.013) and stage of change (P < 0.001) over time between the two groups. Mobile phone addiction significantly decreased in the intervention group three months after training (P < 0.001). Conclusions: Education based on TTM can effectively reduce MPA in students.

Application of e-learning and interactive business experience based on edge computing in smart city tourism management

In order to solve the problems and challenges in smart city tourism management, this study aims to explore the application of e-learning and interactive business experience based on edge computing in smart city tourism management. The paper proposes an e-learning scheme based on edge computing, which improves the convenience and interactivity of learning by moving learning resources and interactive experiences to edge devices close to users. A combination of field research and system development was used to evaluate the effectiveness of the program through data collection and user feedback. We developed an app that transmits learning directly to a user's phone using edge computing. The results show that the e-learning scheme based on edge computing brings innovation and improvement to the smart city tourism management. By moving learning resources and interactive experiences to edge devices, and providing convenient learning content and interactive functions, and by providing location services, personalized learning recommendations and real-time interactive functions, it has successfully promoted tourists' understanding and participation of urban culture, history and scenic spots.

The Rise of Telemedicine in the Philippines during COVID-19: A Systematic Review of Utilization Trends and Patient Outcomes

The study discussed the telemedicine trends in the Philippines during the COVID-19 pandemic from 2019 to 2023. Determining the frequency of use of telemedicine, the factors that influenced its use before and during the COVID-19 pandemic, and the effects of telemedicine in improving the healthcare system in the Philippines. A systematic review was conducted using thematic analysis and the PRISMA checklist. The results presented a pattern indicating that teleconsultation usage corresponded to increased COVID-19 cases. Furthermore, telemedicine utilization surged from March 2020 to March 2022, with video consultations increasing from 5 to 495 monthly visits between 2019 and 2022. The study concluded that it was driven by increased mobile phone usage, improved patient satisfaction, government support, and increased video consultations, offering alternative healthcare delivery. Future studies should include more regions and timeframes to comprehensively present telemedicine trends in the Philippines.

ImageAssist: A Novel Smartphone Application for Standardized Clinical Photography That Implements and Automates American Society of Plastic Surgery/Plastic Surgery Foundation Photographic Guidelines With Background Deletion.

Standardized medical photography of the face is a vital part of patient documentation, clinical evaluation, and scholarly dissemination. Because digital photography is a mainstay in clinical care, there is a critical need for an easy-to-use mobile device application that could assist users in taking a standardized clinical photograph. ImageAssist was developed to answer this need. The mobile application is integrated into the electronic medical record (EMR); it implements and automates American Society of Plastic Surgery/Plastic Surgery Research Foundation photographic guidelines with background deletion. A team consisting of a craniofacial plastic surgeon and the Health Information Technology product group developed and implemented the pilot application of ImageAssist. The application launches directly from patients' chart in the mobile version of the EMR, EPIC Haiku (Verona, Wisconsin). Standard views of the face (90-degree, oblique left and right, front and basal view) were built into digital templates and are user selected. Red digital frames overlay the patients' face on the screen and turn green once standardized alignment is achieved, prompting the user to capture. The background is then digitally subtracted to a standard blue, and the photograph is not stored on the user's phone. ImageAssist initial beta user group was limited to 13 providers across dermatology, ENT, and plastic surgery. A mix of physicians, advanced practice providers, and nurses was included to pilot the application in the outpatient clinic setting using Image Assist on their smart phone. After using the app, an internal survey was used to gain feedback on the user experience. In the first 2 years of use, 31 users have taken more than 3400 photographs in more than 800 clinical encounters. Since initial release, automated background deletion also has been functional for any anatomic area. ImageAssist is a novel smartphone application that standardizes clinical photography and integrated into the EMR, which could save both time and expense for clinicians seeking to take consistent clinical images. Future steps include continued refinement of current image capture functionality and development of a stand-alone mobile device application.

Knowledge, attitude and preventive practice toward Covid-19 and associated factors among outpatients in a rural hospital in Vietnam.

The COVID-19 pandemic has emphasized the critical role of public knowledge, attitudes, and practices (KAP) in disease containment. Understanding these aspects can guide health promotion initiatives and policy decisions. This cross-sectional study examined the KAP concerning COVID-19 prevention in Vietnam. Participants' sociodemographic data, along with KAP toward COVID-19, were collected in a survey utilizing a standardized questionnaire. Uni- and multivariable logistic regression were used to identify factors associated with poor level of KAP. Of 335 participants, 97 (28.9%) had poor knowledge, 52 (15.5%) poor attitude, and 48 (14.3%) poor practices. Older age (OR = 2.23; p = 0.024), minority non-Kinh ethnicity (OR = 3.05; p = 0.03), education below high school (OR = 8.80; p < 0.001), limited social media access (OR = 2.86; p = 0.002), and limited mobile phone usage (OR = 3.08; p = 0.001) increased poor knowledge risks. Non-Kinh ethnicity (OR = 5.00; p = 0.005) and lower education (OR = 14.79; p < 0.001) were linked to poor attitude. Older age (OR = 2.26; p = 0.035), lower education (OR = 5.74; p = 0.003), and poor knowledge (OR = 3.33; p = 0.005) were associated with poor practices. Elderly individuals, those with low education, and limited media access had elevated risks of poor KAP. Emphasizing public health media and targeted education, especially for underserved groups, is vital for effective epidemic management and future strategy planning.

Safety analysis of pedestrians distracted by mobile phones at street crossings: Field study in Nanjing

The growing public concern over traffic safety hazards caused by pedestrians’ distracted behavior, particularly related to mobile phone usage at pedestrian crossings. Through video recording of pedestrians’ street-crossing behaviors on 12 sidewalks across 9 urban road intersections in Nanjing city, 1778 valid pedestrian samples were collected. The study categorizes mobile phone use during the crossing into five distinct types: no use, voice call, screen gaze, screen gaze with operation, and listening to music with headphones. Then, the effects of gender, age and companion conditions on the mobile phone during the crossing were examined by chi-square tests. Utilizing binomial logistic and Relogit regression models, the study analyzed the impact and safety risks of distraction on crossing behavior. Additionally, a random parameters (RP) logit model with heterogeneity in means was used to investigate the determinants affecting mobile phone usage. Notably, individuals aged 18 to 30 years were identified as the random parameter, while factors such as being under 18 years old, having a companion without interaction, having a companion with interaction, weekdays, sidewalk length, and the total number of other pedestrians were identified as fixed parameters. The study also presented significant variables affecting the probability of mobile phone usage through marginal effects, highlighting the potential safety risks associated with mobile phone usage during street crossing. These findings emphasize the need for heightened pedestrian safety awareness and a reduction in distracted behaviors to enhance overall traffic safety.

Impact of attachment to cell phones on classroom learning

This study investigated the influence of cell phone attachment on classroom learning among Senior Secondary students in Delta Central Senatorial District, Delta State. Guided by three research questions, the study utilized a correlational survey research design. The population comprised 15,170 Senior Secondary students, with a sample of 375 students drawn from 19 secondary schools using proportionate stratified random sampling. Data were collected using two researcher-designed questionnaires: the Cell Phone Attachment Questionnaire (CEPAQ) and the Classroom Learning Questionnaire (CLQ). The validity and reliability of the questionnaires were established, with reliability coefficients of 0.71 for CEPAQ and 0.80 for CLQ, calculated using Cronbach's Alpha. Pearson Product Moment Correlation (PPMC) was employed to answer the research questions. The findings revealed a positive relationship between cell phone attachment and classroom learning, with gender and age exerting positive moderating impacts on this relationship. The study concluded that cell phone attachment significantly affects classroom learning and recommended, among other measures, that school administrators monitor phone usage in classrooms to mitigate negative impacts.

Effect of Mobile Phone Use on Musculoskeletal Complaints: Insights From Nursing Students at Northern Border University, Arar, Saudi Arabia.

Introduction Smartphones are widely utilized by individuals on a daily basis for a variety of activities, including communication, web browsing, and gaming. However, the excessive and prolonged use of these devices often leads to adverse effects on musculoskeletal health. This study aimed to assess the effect of mobile phone use on musculoskeletal complaints among nursing students at Northern Border University. Methods An analytical descriptive study was conducted using a convenience sample of 202 nursing students recruited via a Google survey questionnaire. The questionnaire comprised four sections concerning the students' demographics, smartphone data collection tools, the Smartphone Addiction Scale (SAS-SV), and the Nordic Musculoskeletal Questionnaire (NMQ). Results Among the study participants, 62.6% were females, with 52.4% spending more than 5 hours daily on media and technology usage, often extending into bedtime. In the last 12 months, neck pain was the most prevalent complaint, reported by 38.8% of the participants, followed by shoulder pain experienced by 20.3% of the sample. Notably, female students displayed a significantly higher incidence of musculoskeletal pain, with rates as high as 81.7% showing statistical significance (p<0.001). A significant association was also observed between mobile phone addiction and academic grade, as well as the time spent on media and technology usage daily (p<0.001). Conclusions There is a significant association between mobile phone use and discomfort in the musculoskeletal system, particularly in the neck region. Moreover, female students tend to experience more pronounced musculoskeletal discomfort compared to their male counterparts. The study also suggests that extended usage of mobile phones, especially at bedtime, increases the likelihood of experiencing musculoskeletal discomfort.

ASSESSING SLEEP QUALITY AMONG MEDICAL AND DENTAL STUDENTS IN KHYBER PAKHTUNKHWA PROVINCE OF PAKISTAN: A CROSS-SECTIONAL SURVEY

Objectives: To determine the prevalence of poor sleep and factors associated with it among medical and dental students in Khyber Pakhtunkhwa province of Pakistan.Materials and Methods: A population-based analytical cross-sectional study was carried out from May to September 2022, consisting of 385 undergraduate students from 21 medical and dental colleges. A non-probability convenience sampling technique was employed to assess sleep quality with the help of Pittsburgh Sleep Quality Index (PSQI). Factors associated with poor sleep were determined using binary logistic regression.Results: Among the total, 263 (68.3%) students had poor sleep quality on the PSQI scale. Poor sleep was more likely (OR [95%CI]) among females (2.3 [1.3-3.9]), age≥21years (2.5 [1.1-5.8]), pre-clinical phase (3.1 [1.4-6.5]), BDS students (2.0 [1.1-3.5]), disrupted circadian rhythm (4.2 [2.0-8.6]), and hostelites (1.7 [1.0-2.9]) at signifi cance of P&lt;0.05. Participants’ per day sleep was 5.9hrs (SD=1.2hrs). Regarding PSQI components, the worst performance was noticed in sleep duration (M=1.60, SD=0.95). Of the total, 47 (12.2%) were taking sleep medications, 377 (97.9%) had bedtime phone usage and 242 (62.8%) had no familiarity with “Sleep hygiene”.Conclusion: Findings revealed that poor sleep was prevalent in more than half of the participants. Average sleep duration was suggestive of sleep deprivation indicating for immediate interventions to prevent its potential consequences.

Mobile Phone Usage Pattern of Women of Santal Tribe in West Bengal, India

The phenomenal rise of mobile phones in the country can be ascribed to the construction of a wide network and diverse mobile phone services available to users from all walks of life. The greatest success of the mobile phone revolution can be explained by its increasing density and remotest reach where no roads exist or people struggle for basic healthcare facilities. It has become a ubiquitous part of life. This commonplace instrument has become an important communication tool in the modern world. With 52,963 residents, West Bengal makes up 5.8% of the state’s total population and 5.01% of all tribal people in the country. Santal, which shares common states of habitation with West Bengal, Jharkhand, Odisha, Bihar, and Tripura, is the third most populous tribe after Bhil and Gond. The usage patterns of women of Santal tribe in West Bengal, India, served as the basis for this study. The Singur block in West Bengal’s Hooghlydistrict served as the study’s location. Ten Santal tribal women in the age range of 18 to 38 were chosen in total. We conducted in-depth interviews with every participant. It was discovered that women of all ages owned mobile phones, either from self-affordance purchases or inheritance from male family members. They use their phones for various reasons, such as making calls and chatting on social media platforms like WhatsApp, but mostly for their own or their children’s educational requirements

The Mobile Phone Electromagnetic Radiation Effects on Heart Rate Variability Function

Background: The proliferation of mobile phone usage has given rise to concerns about the potential health effects of electromagnetic fields (EMF), particularly in relation to heart rate variability (HRV), a key indicator of cardiac health. Previous studies have yielded inconsistent results using lower-order statistical measures, leaving a gap in understanding the nonlinear interactions between EMF exposure and HRV. Objective: This study aimed to investigate the effects of mobile phone EMF on HRV by employing bicoherence analysis of ECG data. It sought to determine whether the position of EMF exposure relative to the heart and the duration of exposure affected HRV parameters. Methods: Twenty subjects were recruited for the study, with ECG and EEG data collected under EMF and non-EMF conditions. ECG data were captured using a 12-lead system, with electrodes placed according to standard guidelines. EEG electrodes were positioned following the 10-20 system. Bicoherence and coherence analyses were conducted to assess nonlinear interactions in HRV activity and the relationship between heart and brain signals. The study also considered the duration of EMF exposure, comparing the effects of 10-minute and 40-minute sessions. Results: The bicoherence values for ECG data during EMF exposure at the left ear showed negligible differences, with values ranging between 0.0 to 0.04. However, chest positions V1 and V2 revealed statistically significant larger bicoherence values during non-EMF trials as opposed to EMF trials. Coherence analysis between ECG and EEG demonstrated significantly higher values across the 16-30Hz frequency band during EMF trials. No significant differences were observed for 10-minute EMF exposure, whereas 40-minute exposure sessions indicated a correlation with changes in HRV. Conclusion: The study's findings suggest that mobile phone EMF can affect HRV parameters, with the effects being more pronounced during longer exposure durations and when the source of EMF is closer to the heart. These results support the need for guidelines on safe mobile phone usage and further research into the effects of EMF on cardiac function.