Neck electrical impedance for measurement of swallowing

Yamamoto, Y.; Nakamura, Toshio; Seki, Yasuhiko; Utsuyama, Kinya; Akashi, Koichi; Jikuya, Kazuaki

doi:10.1002/(sici)1520-6416(200003)130:4<35::aid-eej5>3.0.co;2-w

Cited by 11 publications

(5 citation statements)

References 2 publications

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“…Using this detection method, Yamamoto et al , developed impedance pharyngography (IPG) [60,61], which is an electrical impedance-based method of measuring swallowing activity. As shown in Figure 18A, two electrode pairs, denoted as (I + , P + ) and (I – , P – ), are attached to the neck skin surface to avoid skin-impedance effects [60]. Electrode I + provides the neck with an alternating electric current of 0.5 mA and 50 kHz determined empirically to maximize sensitivity, while electrode I – is grounded.…”

Section: Sensing Of Laryngeal Movementmentioning

confidence: 99%

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Recent Advances in Sensing Oropharyngeal Swallowing Function in Japan

Ono

Hori

Masuda

et al. 2009

Sensors

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Dysphagia (difficulty in swallowing) is an important issue in the elderly because it causes aspiration pneumonia, which is the second largest cause of death in this group. It also causes decline in activities of daily living and quality of life. The oral phase of swallowing has been neglected, despite its importance in the evaluation of dysphagia, because adequate protocols and measuring devices are unavailable. However, recent advances in sensor technology have enabled straightforward, non-invasive measurement of the movement of important swallowing-related organs such as the lips and tongue, as well as the larynx. In this article, we report the present state and possibility of clinical application of such systems developed in Japan.

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Section: Sensing Of Laryngeal Movementmentioning

confidence: 99%

“…Impedance pharyngography [60]. A: position of the four electrodes, denoted as I + , P + , I − and P − , attached to the neck skin surface.…”

Section: Figurementioning

confidence: 99%

Recent Advances in Sensing Oropharyngeal Swallowing Function in Japan

Ono

Hori

Masuda

et al. 2009

Sensors

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“…Henceforth presented in this paper is considered one part of a wearable the swallowing apparatus may adapt to the bolus [ We believe that the absolute error-flee estimation of amount and calories of every possible nutrient is rathelr visionary, using C. Paper contributions Several other approaches have been proposed for the analyThe work presented in this paper aims at utilising non-sis of swallowing, mostly in combination with previously meninvasive sensing modalities to detect and identify swallowing tioned invasive methods, including ultrasound [4], [14], phaat the pharyngeal phase. Specifically, the following contribu-ryngeal impedance sensing methods [15]- [18] [7]. Dantas et al [25] found that bolus transit time through the important invasive methods include videofluoroscopy, e.g.…”

Section: Oliver Amft and Gerhard Tr6stermentioning

confidence: 99%

Methods for Detection and Classification of Normal Swallowing from Muscle Activation and Sound

Amft

Tröster

2006

2006 Pervasive Health Conference and Workshops

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Abstract-Swallowing is an important part of the dietary non-invasive sensors. However, a rough estimation of food process. This paper presents an investigation to detect and type. e.g. ratio of fluid and solid nutrient combined with the classify normal swallowing during eating and drinking from timing information, e.g. event schedule and meal durations electromyography and microphone sensors. The non-invasive ' sensors are selected in order to integrate them into a collar-overthda,Already povides warsl bsisorsbehaviura like fabric for continuous monitoring of swallowing activity over monitoring. Although focusing on wearable sensors we expect a day. We compare methods for the detection of individual that additional information can be obtained in combination swallowing events from continuous sensor data. Furthermore with a supportive environment, e.g. food products with RFwe present a classifier comparison for the swallowing event identification tags, intelligent shopping lists or dietary moniproperties volume and viscosity. The methods are evaluated .a'es on experimental data and a performance analysis is shown. torWng tables.Moreover we present a class skew analysis based on the metricsWe target a non-invasive wearable system relying on inprecision and recall.formation from the following three sensing domains: 1) the Index Terms-Swallowing detection, event detection, bolus identification of characteristic arm and trunk movements asviscosity classification, bolus volume classification, sensor collar. sociated with food intake using inertial sensors [1], 2) the analysis of food chewing sounds from an ear microphone [2]

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“…The number of electrodes used had previously been investigated during evaluation of EMBI [6]. The number of electrodes and the electrode positions were chosen based on the existing literature [8]. …”

Section: Methodsmentioning

confidence: 99%

Automated Detection and Evaluation of Swallowing Using a Combined EMG/Bioimpedance Measurement System

Schultheiss

Schauer

Nahrstaedt

et al. 2014

The Scientific World Journal

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Introduction. Developing an automated diagnostic and therapeutic instrument for treating swallowing disorders requires procedures able to reliably detect and evaluate a swallow. We tested a two-stage detection procedure based on a combined electromyography/bioimpedance (EMBI) measurement system. EMBI is able to detect swallows and distinguish them from similar movements in healthy test subjects. Study Design. The study was planned and conducted as a case-control study (EA 1/019/10, and EA1/160/09, EA1/161/09). Method. The study looked at differences in swallowing parameters in general and in the event of penetration during swallows in healthy subjects and in patients with an oropharyngeal swallowing disorder. A two-stage automated swallow detection procedure which used electromyography (EMG) and bioimpedance (BI) to reliably detect swallows was developed. Results. Statistically significant differences between healthy subjects and patients with a swallowing disorder were found in swallowing parameters previously used to distinguish between swallowing and head movements. Our two-stage algorithm was able to reliably detect swallows (sensitivity = 96.1%, specificity = 97.1%) on the basis of these differences. Discussion. Using a two-stage detection procedure, the EMBI measurement procedure is able to detect and evaluate swallows automatically and reliably. The two procedures (EMBI + swallow detection) could in future form the basis for automated diagnosis and treatment (stimulation) of swallowing disorders.

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Neck electrical impedance for measurement of swallowing

Cited by 11 publications

References 2 publications

Recent Advances in Sensing Oropharyngeal Swallowing Function in Japan

Recent Advances in Sensing Oropharyngeal Swallowing Function in Japan

Methods for Detection and Classification of Normal Swallowing from Muscle Activation and Sound

Automated Detection and Evaluation of Swallowing Using a Combined EMG/Bioimpedance Measurement System

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