Pub Date : 2016-11-01DOI: 10.1109/HIC.2016.7797692
Yu-Jui Chen, Yu-Shan Lin, H. Chiueh
Epilepsy is a common neural disorder disease; about 1.7% of the global population has epilepsy. Most patients use antiepileptic drugs to reduce their seizures. Among them, nearly one-third of the patients are drug-resistant epilepsy. The alternative treatment is the resection surgery of removing the epileptogenic zone. However, all above patients will still have some seizures, which will influence the patients' quality-of-life, and further introduce danger and inconvenience to patients and people around. This paper presents a design and development of a frontend circuitry in EEG reading for a smart epileptic seizure detection headband. The headband will consist of a textile headband with printed-circuit-board (PCB) inside, and textiled electrodes on it. The PCB includes following circuits: an electroencephalography (EEG) recorder, an epileptic seizure detector circuit, and a Bluetooth transmitter. The analog frontend circuit of EEG recording circuits and its prototype with system integration will be present in this paper. The result of designed circuits yields a compact and low-power design for EEG recording which is suitable for wearable headband designs.
{"title":"EEG recording frontend circuitry for epileptic seizure detection headband","authors":"Yu-Jui Chen, Yu-Shan Lin, H. Chiueh","doi":"10.1109/HIC.2016.7797692","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797692","url":null,"abstract":"Epilepsy is a common neural disorder disease; about 1.7% of the global population has epilepsy. Most patients use antiepileptic drugs to reduce their seizures. Among them, nearly one-third of the patients are drug-resistant epilepsy. The alternative treatment is the resection surgery of removing the epileptogenic zone. However, all above patients will still have some seizures, which will influence the patients' quality-of-life, and further introduce danger and inconvenience to patients and people around. This paper presents a design and development of a frontend circuitry in EEG reading for a smart epileptic seizure detection headband. The headband will consist of a textile headband with printed-circuit-board (PCB) inside, and textiled electrodes on it. The PCB includes following circuits: an electroencephalography (EEG) recorder, an epileptic seizure detector circuit, and a Bluetooth transmitter. The analog frontend circuit of EEG recording circuits and its prototype with system integration will be present in this paper. The result of designed circuits yields a compact and low-power design for EEG recording which is suitable for wearable headband designs.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124374026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-11-01DOI: 10.1109/HIC.2016.7797703
Heyu Yin, H. Wan, Lu Lin, Xianzhong Zeng, A. Mason
The growing impact of airborne pollutants and explosive gases on human health and occupational safety has escalated the demand for sensors to monitor hazardous gases. Existing gas sensors lack the miniaturization and real-time measurement capability necessary to quantify point-of-care exposure to gaseous hazards. To overcome these challenges and enable cost-effective monitoring of personal exposure in local environments, this paper presents a robust microfabricated planar electrochemical gas sensor featuring room temperature ionic liquid (RTIL) as the electrolyte. Together with carefully selected electrochemical methods, the miniaturized gas sensor is capable of measuring multiple gases important to human health and safety. Compared to its larger predecessor, our manually-assembled Clark-cell sensor, this microsensor provides better sensitivity, linearity and repeatability, as validated for oxygen and methane monitoring. The microfabricated planar RTIL electrochemical gas sensor is well suited for personal point-of-exposure monitoring of hazardous gases in a real world environment.
{"title":"Miniaturized planar RTIL-based eletrochemical gas sensor for real-time point-of-exposure monitoring","authors":"Heyu Yin, H. Wan, Lu Lin, Xianzhong Zeng, A. Mason","doi":"10.1109/HIC.2016.7797703","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797703","url":null,"abstract":"The growing impact of airborne pollutants and explosive gases on human health and occupational safety has escalated the demand for sensors to monitor hazardous gases. Existing gas sensors lack the miniaturization and real-time measurement capability necessary to quantify point-of-care exposure to gaseous hazards. To overcome these challenges and enable cost-effective monitoring of personal exposure in local environments, this paper presents a robust microfabricated planar electrochemical gas sensor featuring room temperature ionic liquid (RTIL) as the electrolyte. Together with carefully selected electrochemical methods, the miniaturized gas sensor is capable of measuring multiple gases important to human health and safety. Compared to its larger predecessor, our manually-assembled Clark-cell sensor, this microsensor provides better sensitivity, linearity and repeatability, as validated for oxygen and methane monitoring. The microfabricated planar RTIL electrochemical gas sensor is well suited for personal point-of-exposure monitoring of hazardous gases in a real world environment.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125465635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-11-01DOI: 10.1109/HIC.2016.7797712
Martin Kasparick, Malte Schmitz, F. Golatowski, D. Timmermann
Nowadays, the staff of modern operation rooms (ORs) and intensive care units (ICUs) has to handle increasingly complex medical devices and their user interfaces. Inconsistent and often non-sterile user interfaces lead to error-prone and slow reconfiguring actions which in the end may even harm the patient. To overcome these issues interconnected medical devices are necessary. We introduce a new concept for flexible and easy-to-use remote controls which allow to control a range of different devices from different manufacturers. Current solutions are vendor-, and mostly even device-specific and tightly coupled. The effort for manufacturers is high and the maintainability is bad. Thus, controls that can be assigned dynamically to different medical devices are rare or mostly not available. Yet such dynamic controls are badly needed to improve clinical workflows especially in ORs and ICUs. We establish such a remote control setup using the service-oriented architecture defined in the IEEE 11073 SDC standards family. The presented concept is based on dynamic service orchestration to overcome existing problems: The control device and the controlled medical device are published as independent services in the network and an additional composed service interconnects them. We successfully implemented this concept for dynamically assignable controls in a real-world demonstrator with several medical devices from more than five different manufacturers. Performance evaluations show its practicability.
{"title":"Dynamic remote control through service orchestration of point-of-care and surgical devices based on IEEE 11073 SDC","authors":"Martin Kasparick, Malte Schmitz, F. Golatowski, D. Timmermann","doi":"10.1109/HIC.2016.7797712","DOIUrl":"https://doi.org/10.1109/HIC.2016.7797712","url":null,"abstract":"Nowadays, the staff of modern operation rooms (ORs) and intensive care units (ICUs) has to handle increasingly complex medical devices and their user interfaces. Inconsistent and often non-sterile user interfaces lead to error-prone and slow reconfiguring actions which in the end may even harm the patient. To overcome these issues interconnected medical devices are necessary. We introduce a new concept for flexible and easy-to-use remote controls which allow to control a range of different devices from different manufacturers. Current solutions are vendor-, and mostly even device-specific and tightly coupled. The effort for manufacturers is high and the maintainability is bad. Thus, controls that can be assigned dynamically to different medical devices are rare or mostly not available. Yet such dynamic controls are badly needed to improve clinical workflows especially in ORs and ICUs. We establish such a remote control setup using the service-oriented architecture defined in the IEEE 11073 SDC standards family. The presented concept is based on dynamic service orchestration to overcome existing problems: The control device and the controlled medical device are published as independent services in the network and an additional composed service interconnects them. We successfully implemented this concept for dynamically assignable controls in a real-world demonstrator with several medical devices from more than five different manufacturers. Performance evaluations show its practicability.","PeriodicalId":333642,"journal":{"name":"2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115164640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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