e.g. mhealth
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Skip search results from other journals and go to results- 12 JMIR Research Protocols
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- 1 JMIR Neurotechnology
- 1 JMIR mHealth and uHealth
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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.
J Med Internet Res 2025;27:e63137
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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.
JMIR Res Protoc 2025;14:e64465
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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].
JMIR Form Res 2025;9:e62740
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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].
JMIR Form Res 2024;8:e55478
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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].
JMIR Res Protoc 2024;13:e52652
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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.
JMIR Neurotech 2023;2:e50660
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The aims are to compare the effects of active and sham r TMS on changes in the RRV of food via the behavioral choice task and the neuromodulation of reward via electroencephalography (EEG).
The research and ethics described in this study have been reviewed and approved by the institutional review board (IRB) of Hartford Hospital (HHC-IRB 035431). The study protocol is registered at Clinical Trials.gov (NCT05522803).
JMIR Res Protoc 2023;12:e50714
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Electroencephalographic neurofeedback (EEG-NFB) is a type of brain-computer interface (BCI), which provides real-time feedback to the individual based on neural signals of interest as measured by electroencephalography (EEG), thus training the individual to self-regulate their brain activity [10]. EEG-NFB was introduced in the 1960s independently by Nowlis and Kamiya [11], and Sterman et al [12], and was commonly referred to as EEG biofeedback.
JMIR Res Protoc 2023;12:e46135
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