Validity of single-channel masseteric electromyography by using an ultraminiature wearable electromyographic device for diagnosis of sleep bruxism

Maeda, Masana; Yamaguchi, Taihiko; Mikami, Saki; Yachida, Wataru; Saitō, Tsunemasa; Sakuma, Toshiharu; Nakamura, Hironobu; Saito, Miku; Mizuno, Mariko; Yamada, Kyoko; Satoh, Keisuke

doi:10.1016/j.jpor.2019.04.003

Cited by 30 publications

(32 citation statements)

References 17 publications

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“…Therefore, we should carefully interpret the findings of EMG analysis for SB. Furthermore, previous studies 42‐44 indicated overestimating the EMG bursts when using a single‐channel EMG device compared to using PSG with AV recording. Since there was no audio recording in this study and motor activities generated by coughing and swallowing were not excluded from possible EMG events, excess EMG events might have also been counted.…”

Section: Discussionmentioning

confidence: 98%

Daytime masticatory muscle electromyography biofeedback regulates the phasic component of sleep bruxism

Saito-Murakami

Sato

Otsuka

et al. 2020

J of Oral Rehabilitation

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Background Electromyography (EMG) biofeedback (BF) training is potentially an effective cognitive‐behavioural approach to regulate bruxism. Objective This study examined sleep bruxism regulation by daytime clenching control using a single‐channel auditory EMG BF device. Methods Seventeen male subjects (mean age, 24.4 ± 3.1 years; mean ± SD) with self‐reported awake/sleep bruxism were recruited and divided into a BF (n = 10) and a control (CO) group (n = 7). All subjects underwent four EMG recording sessions during both daytime and sleep over 3 weeks. During the daytime, in week 2, the BF group received feedback alert signals when excessive EMG activity with certain burst duration was detected while the subjects performed regular daily activities. The CO group underwent EMG recording sessions without receiving any alerts of parafunctional activity. The number of phasic burst events during sleep was compared between the BF and CO groups. Results While the number of phasic EMG events was not significantly different between the BF and CO groups at baseline, significantly smaller phasic events were observed in the BF compared to the CO group at the follow‐up session (week 3) (P = .006, Tukey's HSD). Since daytime BF training is aimed at raising awareness of awake bruxism, it does not interrupt the sleep sequence or involve associated side effects. Conclusion The present results suggest that EMG BF targeting for tonic EMG events during the daytime can be an effective method to regulate phasic EMG events during sleep.

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Section: Discussionmentioning

confidence: 98%

Daytime masticatory muscle electromyography biofeedback regulates the phasic component of sleep bruxism

Saito-Murakami

Sato

Otsuka

et al. 2020

J of Oral Rehabilitation

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“…In the absence of other alternatives, the EMG cut‐off points established in the research described above were later used in general and clinical population studies, although they were not initially produced for such purposes (Maluly et al., 2013; Martynowicz et al., 2019; Sateia, 2014). Clinical cut‐offs were also proposed for home ambulatory recording studies assessing SB; with some studies using cut‐offs similar to those observed in sleep laboratories, while others adopted much higher values (Castroflorio et al., 2014; Maeda et al., 2020; Stuginski‐Barbosa et al., 2017; Van Der Zaag et al., 2008; Yamaguchi et al., 2020). The fact that ambulatory MMA scoring demonstrated such large differences highlights the lack of methodological standardisation and the need for more effort to standardise SB metrics (Manfredini et al., 2020).…”

Section: Sleep Bruxism Emg Cut‐off Migration From Sleep Laboratory To Home Testingmentioning

confidence: 99%

Research routes on improved sleep bruxism metrics: Toward a standardised approach

Lavigne

Kato

Babiloni

et al. 2021

Journal of Sleep Research

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A recent report from the European Sleep Research Society's task force "Beyond AHI" discussed an issue that has been a long-term subject of debate -what are the best metrics for obstructive sleep apnoea (OSA) diagnosis and treatment outcome assessments? In a similar way, sleep bruxism (SB) metrics have also been a recurrent issue for >30 years and there is still uncertainty in dentistry regarding their optimisation and clinical relevance. SB can occur alone or with comorbidities such as OSA, gastroesophageal reflux disorder, insomnia, headache, orofacial pain, periodic limb movement, rapid eye movement behaviour disorder, and sleep epilepsy. Classically, the diagnosis of SB is based on the patient's dental and medical history and clinical manifestations; electromyography is used in research and for complex cases.

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“…The FLA contains 12-bit central processing units (CPU), electrodes, an amplifier, an analog-to-digital (A/D) converter at a sampling frequency of 1 kHz, a 3.7-V coin-shaped lithium battery, and a micro SD memory card. The gain of the amplifier was set to 250 times [30,31].…”

Section: Recording Datamentioning

confidence: 99%

“…Thus, this situation cannot be considered completely unconstrained, and there is concern about psychological influence due to discomfort. To overcome this problem, we developed a series of single-channel ultraminiature EMG devices [26][27][28][29][30][31]. These devices allow for measuring masticatory muscle activity at home without restraint as well as examining the occurrence of SB in more natural situations.…”

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confidence: 99%

Comparison of the occurrence of sleep bruxism under accustomed conditions at home and under polysomnography conditions in a sleep laboratory

et al. 2022

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Sleep bruxism (SB) is a sleep-related movement disorder characterized by teeth grinding and clenching [1,2]. SB is a known risk factor for various dental problems, including tooth wear, tooth fracture, temporomandibular disorders, and the removal of crown restorations [3,4]. Studies have previously reported on the associations between SB and sympathetic nerve activity, the overall sleep state, and genetic factors [5][6][7]. However, the true state of SB and the mechanisms mediating SB genesis are not completely elucidated or understood to date.A clinical diagnosis of SB is determined based on clinical findings including self-awareness, interviews with a sleep partner, investigations of masticatory muscle fatigue and pain awareness, and tooth wear. The objectivity and accuracy of these findings are not sufficient [8][9][10][11][12]. Regarding the assessment of bruxism status, an international consensus meeting recently proposed three diagnostic stages:(1) possible sleep/wake bruxism based on self-report only, (2) probable sleep/wake bruxism based on self-report in addition to clinical inspection, and (3) definite sleep bruxism based on self-report and clinical inspection combined with polysomnography (preferably combined with audio/video recordings) [1,2].Masticatory muscle electromyography (EMG), a method objectively assessing SB, can generally be divided into two types: portable electromyography (EMG) and polysomnography (PSG). Polysomnography with audio-video recording (PSG-AV) under sleep laboratory conditions is currently considered the most reliable method for diagnosing SB [13]. In PSG-AV, sleep stages can be determined via electroencephalogram (EEG), electrooculogram (EOG), and EMG record-J Prosthodont Res. 2022; **(**):

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Validity of single-channel masseteric electromyography by using an ultraminiature wearable electromyographic device for diagnosis of sleep bruxism

Cited by 30 publications

References 17 publications

Daytime masticatory muscle electromyography biofeedback regulates the phasic component of sleep bruxism

Daytime masticatory muscle electromyography biofeedback regulates the phasic component of sleep bruxism

Research routes on improved sleep bruxism metrics: Toward a standardised approach

Comparison of the occurrence of sleep bruxism under accustomed conditions at home and under polysomnography conditions in a sleep laboratory

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