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Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility Study from the Perspectives of Health Care Professionals

Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility Study from the Perspectives of Health Care Professionals

EEG: electroencephalography; FDA: Food and Drug Administration; GDPR: General Data Protection Regulation; HIPAA: Health Insurance Portability and Accountability Act. The data analysis steps for the focus group discussion are shown in the final step of Figure 1. The transcribed data were initially read before the data analysis process to ensure the data’s general content and scope.

Pantea Keikhosrokiani, Johanna Annunen, Jonna Komulainen-Ebrahim, Jukka Kortelainen, Mika Kallio, Päivi Vieira, Minna Isomursu, Johanna Uusimaa

JMIR Hum Factors 2025;12:e59558

Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort Study

Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort Study

Detailed and accurate sleep analysis can now be achieved through wireless technology, including electroencephalography (EEG) headbands and overnight pulse oximetry [21,22]. While actigraphy has been used in dementia research, EEG headbands and pulse oximetry are less well tested, especially in the earlier stages of impairment [23-25]. There is also increasing interest in remote cognitive testing and digital biomarkers for diagnosis and monitoring progression [26].

Victoria Grace Gabb, Jonathan Blackman, Hamish Morrison, Haoxuan Li, Adrian Kendrick, Nicholas Turner, Rosemary Greenwood, Bijetri Biswas, Amanda Heslegrave, Elizabeth Coulthard

JMIR Aging 2025;8:e72824

Exploring the Link Between Visual Attention to Familiar or Novel Food Stimuli and Food Choice Using Integrated Electroencephalography and Eye Tracking: Protocol for Nonrandomized Pilot Study

Exploring the Link Between Visual Attention to Familiar or Novel Food Stimuli and Food Choice Using Integrated Electroencephalography and Eye Tracking: Protocol for Nonrandomized Pilot Study

While some previous studies have suggested a role for visual attentional bias toward familiarity and novelty of stimuli [22], there is a paucity of studies using electroencephalography to examine this, particularly in the context of food choice behavior. Electroencephalography is a noninvasive technique used to measure brain activity in response to stimuli by recording event-related potentials (ERPs).

Farshad Arsalandeh, Ali Shahbazi, Mohammad Ali Nazari

JMIR Res Protoc 2025;14:e69541

Neurobiological Mechanisms of Enhanced Pain-Relieving Transcutaneous Electrical Nerve Stimulation via Visuo-Tactile Stimulation in Immersive Virtual Reality: Randomized Controlled Trial

Neurobiological Mechanisms of Enhanced Pain-Relieving Transcutaneous Electrical Nerve Stimulation via Visuo-Tactile Stimulation in Immersive Virtual Reality: Randomized Controlled Trial

Electroencephalography (EEG) is a reliable bioassay for evaluating how people experience pain and understanding the underlying neurological processes involved in TENS-induced pain relief [10-12]. For example, Peng et al [11] observed that low-frequency TENS had a long-lasting effect on the brain state, as it increased the alpha oscillations in the primary sensorimotor cortex and enhanced the functional connectivity between S1/M1 and the medial prefrontal cortex.

Chenxi Wang, Lanqi Gao, Chuan Zhang, Jun Li, Jixin Liu

J Med Internet Res 2025;27:e63137

Tablet- and Group-Based Multicomponent Cognitive Stimulation for Older Adults With Mild Cognitive Impairment: Single-Group Pilot Study and Protocol for Randomized Controlled Trial

Tablet- and Group-Based Multicomponent Cognitive Stimulation for Older Adults With Mild Cognitive Impairment: Single-Group Pilot Study and Protocol for Randomized Controlled Trial

Electroencephalography (EEG) measures have revealed alterations in brain activity patterns among individuals with MCI, including increased beta-two power and notable changes in the theta, alpha, and delta frequencies [21]. Atrophy of the hippocampus and the medial temporal lobe regions, along with hypometabolism in specific brain areas, are indicative of MCI [22]. Specifically, electrophysiological recordings and event-related potentials (ERPs) provide valuable insights into cognitive functioning.

Khanitin Jornkokgoud, Pattrawadee Makmee, Peera Wongupparaj, Alessandro Grecucci

JMIR Res Protoc 2025;14:e64465

Measuring Bound Attention During Complex Liver Surgery Planning: Feasibility Study

Measuring Bound Attention During Complex Liver Surgery Planning: Feasibility Study

Ghani et al [10] demonstrated that a passive oddball condition can be used to objectively assess mental workload through participants’ electroencephalography (EEG) [10]. By combining subjective questionnaires with the objective evaluation of workload via EEG, we hypothesize that in this study, the objective results on mental workload will align with the subjective data from the NASA-TLX questionnaire [11].

Tim Schneider, Timur Cetin, Stefan Uppenkamp, Dirk Weyhe, Thomas Muender, Anke V Reinschluessel, Daniela Salzmann, Verena Uslar

JMIR Form Res 2025;9:e62740

Neurological Evidence of Diverse Self-Help Breathing Training With Virtual Reality and Biofeedback Assistance: Extensive Exploration Study of Electroencephalography Markers

Neurological Evidence of Diverse Self-Help Breathing Training With Virtual Reality and Biofeedback Assistance: Extensive Exploration Study of Electroencephalography Markers

Previous interventions for psychological disorders have employed a variety of BF modules, including electroencephalography (EEG), electromyography, skin conductance, heart rate, heart rate variability, body temperature, and respiration [13-19]. Integrated VR and BF technologies are especially common for daily self-help training and breathing training [4,20]. For example, VR and BF have been used to promote diaphragmatic breathing [3] and stress regulation with breathing training among police officers [12].

Hei-Yin Hydra Ng, Changwei W Wu, Hao-Che Hsu, Chih-Mao Huang, Ai-Ling Hsu, Yi-Ping Chao, Tzyy-Ping Jung, Chun-Hsiang Chuang

JMIR Form Res 2024;8:e55478

Remote Evaluation of Sleep and Circadian Rhythms in Older Adults With Mild Cognitive Impairment and Dementia: Protocol for a Feasibility and Acceptability Mixed Methods Study

Remote Evaluation of Sleep and Circadian Rhythms in Older Adults With Mild Cognitive Impairment and Dementia: Protocol for a Feasibility and Acceptability Mixed Methods Study

Technological advancements in “wearables” (such as smartwatches and electroencephalography (EEG) headsets), “nearables” (such as a mattress or room sensors), and smartphones offer the unprecedented ability for tracking sleep at home for both consumers and researchers—to varying degrees of accuracy and accessibility [33,34].

Victoria Grace Gabb, Jonathan Blackman, Hamish Duncan Morrison, Bijetri Biswas, Haoxuan Li, Nicholas Turner, Georgina M Russell, Rosemary Greenwood, Amy Jolly, William Trender, Adam Hampshire, Alan Whone, Elizabeth Coulthard

JMIR Res Protoc 2024;13:e52652

Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation

Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation

Electroencephalography (EEG) can be used to determine the epileptogenic zone or to monitor patients in the intensive care unit for seizures or monitor seizures for therapy adjustment. EEG signals are collected over a period of time and analyzed to detect seizure events. Today, almost everyone uses smartphones, and smartphone apps are being used to solve real-world human challenges including health-related issues.

Natarajan Sriraam, S Raghu, Erik D Gommer, Danny M W Hilkman, Yasin Temel, Shyam Vasudeva Rao, Alangar Satyaranjandas Hegde, Pieter L Kubben

JMIR Neurotech 2023;2:e50660