Development of a vital signs monitoring wireless ear probe

Bestbier, Andre; Fourie, Paula

doi:10.1109/saibmec.2018.8363196

Cited by 13 publications

(6 citation statements)

References 12 publications

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“…The criterion weights can be applied after conducting experiments with given devices and expert evaluation in relation to indices of human physiological fatigue where measurement parameter sensitivity is statistically calculated in correlation with human reaction time, mental or physical performance scores or subjective evaluation scores, or other problem domain specific generally accepted measures. Note: D1 -Mindwave Mobile 2 [30]; D2 -Cosinuss One [31]; D3 -Polar H7 [32]; D4.Mindfielde Sense Skin Response [33]; D5 -Project AWAKE [34]; D6 -Xethru X4M200 [35]; D7 -Nexus 10 MK II [36]; Conclusions 1. A selection of physiological parameters based on multi-criterion evaluation of measurement sensors proposed in the current work shows the multi-sensor consumer device (D2) advantages over single electrical activity sensor devices (D1, D3, D4) in terms of parameter coverage.…”

Section: Resultsmentioning

confidence: 99%

Feasibility study of physiological parameter registration sensors for non-intrusive human fatigue detection system

Erins

Minejeva

Kivlenieks

et al. 2019

Engineering for Rural Development

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Human fatigue manifests in slower reactions, reduced ability to process information, memory lapses, absent-mindedness, decreased awareness, lack of attention, underestimation of risk, reduced coordination etc. Chronic, decompensated and acute fatigue in form of drowsiness and falling asleep can lead to errors and accidents, ill-health and injury, and reduced productivity of sectors as in equipment operations, transportation. Their detection is necessary where they provide an option for the quantification and objective evaluation of subjective fatigue levels. Many studies are dealing with this topic for automotive and workability usage to design a fatigue detection and countermeasure device. The paper describes research of recent attitude to the development of the fatigue condition detection methods with the usage of human biological signal combinations, like electroencephalography (EEG), photoplethysmography (PPG), electromyography (EMG), galvanic skin response (GSR), temperature, position, respiration and percentage of eye closure (PERCLOS) to obtain diagnostic parameters reflecting the state of central nervous, cardiovascular, respiratory and muscular system and for monitoring of physiological vital changes. The current research focuses on aspects of non-obtrusive sensor signal quality and placement, and selection factors and evaluation of usability and potential integration into a wearable platform with the use of current sensor technologies that extend the application of sensors from laboratory to everyday environment. The sensor review aims to support development of a platform with multilevel fatigue monitoring and workability evaluation system designed in order to provide an integrated service in the area of operational safety.

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Section: Resultsmentioning

confidence: 99%

Feasibility study of physiological parameter registration sensors for non-intrusive human fatigue detection system

Erins

Minejeva

Kivlenieks

et al. 2019

Engineering for Rural Development

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“…Respirations are measured visually or by using a stethoscope or electro-cardiogram. At the research stage, there has been a method of estimating respiration from breathing sounds measured with a microphone attached to the chest [ 2 ], a method of estimating respiration from pulse sensor values [ 3 , 4 ], methods of measuring respiration from chest movements obtained using camera images [ 5 ] or laser range finders [ 6 ], a method of measuring respiration based on the electrical impedance in the arm [ 7 ], and methods of estimating respiration based on measurement values from flow sensors attached to the mouth [ 8 , 9 , 10 , 11 , 12 ]. These are all beneficial research methods.…”

Section: Introductionmentioning

confidence: 99%

“…The concept of point-of-care testing (POCT) was introduced, mainly in Western countries, in the 1980s; since the second half of the 1990s, we have seen the rapid spread of POCT measuring devices [ 13 ]. When considering respiratory rate measurement equipment suited for POCT, it is important not only that the measurements are accurate but, from the initial stages of basic design, that development proceed so that “equipment be lightweight, low-cost, simple to operate, and capable of rapidly starting respiration measurement.” Some of the respiratory measurement devices [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ] described above can be adapted for POCT, but were not originally studied and developed with the aim of being adapted for POCT. Aiming to develop a respiratory measurement device adapted for POCT, we have studied and developed an earphone-type respiratory measurement device (hereafter, referred to as an “earable POCER”).…”

Section: Introductionmentioning

confidence: 99%

Earable POCER: Development of a Point-of-Care Ear Sensor for Respiratory Rate Measurement

Taniguchi

Nishikawa

2018

Sensors

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We have carried out research and development on an earphone-type respiratory rate measuring device, earable POCER. The name earable POCER is a combination of “earable”, which is a word coined from “wearable” and “ear”, and “POCER”, which is an acronym for “point-of-care ear sensor for respiratory rate measurement”. The earable POCER calculates respiratory frequency, based on the measurement values over one minute, through the simple attachment of an ear sensor to one ear of the measured subject and displays these on a tablet terminal. The earable POCER irradiates infrared light using a light-emitting diode (LED) loaded on an ear sensor to the epidermis within the ear canal and, by receiving that reflected light with a phototransistor, it measures movement of the ear canal based on respiration. In an evaluation experiment, eight healthy subjects first breathed through the nose 12 times per minute, then 16 times per minute, and finally 20 times per minute, in accordance with the flashing of a timing instruction LED. The results of these evaluation tests showed that the accuracy of the respiratory frequency was 100% for nose breathing 12 times per minute, 93.8% at 16 times, and 93.8% at 20 times.

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“…The use of medical devices is essential in some critical clinical situations or when the patient is at home and needs remote diagnosis, these devices can be mobile [18,57,65] or installed close to the patient clinical bed [54]. The hardware/software of each device vary from others and depends on the manufacturer policy, these differences may generate some integration problems in the clinical situation.…”

Section: Introductionmentioning

confidence: 99%

Medical systems, the role of middleware and survey on middleware design

Touahria

2018

Preprint

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The integration of medical devices in the patient treatment process becomes increasingly important due to the efficiency of the technology. On the one hand, medical devices hardware is more powerful and its integration with the software platforms is improved. These devices are able to transfer accurate data to the clinician and offer the possibility of sharing data with other devices or computational servers for advanced analysis. On the other hand, medical software platforms are appearing to provide advanced functionality on top of these medical hardware devices. In this context, the role of the software is essential, not only at the highest abstraction level that provides the application business logic; the role of the underlying connecting software (the communication middleware or distribution software) is essential. These are capable of providing advanced connectivity functions, very efficiently, and within appropriate time bounds. This paper reviews the state of the art on middleware as facilitator for interconnection among devices and also describes a number of initiatives (such as the Integrated Clinical Environment -ICE) and projects that further extend the underlying distribution software towards the clinical domain as device interconnection facilitators.

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Development of a vital signs monitoring wireless ear probe

Cited by 13 publications

References 12 publications

Feasibility study of physiological parameter registration sensors for non-intrusive human fatigue detection system

Feasibility study of physiological parameter registration sensors for non-intrusive human fatigue detection system

Earable POCER: Development of a Point-of-Care Ear Sensor for Respiratory Rate Measurement

Medical systems, the role of middleware and survey on middleware design

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