Pub Date : 2017-11-01DOI: 10.1109/HIC.2017.8227633
Martin Kasparick, F. Golatowski, D. Timmermann
The flood of alarms produced by Point-of-Care (PoC) medical devices in intensive care units (ICUs) and operating rooms (ORs) is a crucial issue of today's hospitals. Alarm fatigue and desensitization leads to the death of patients, noise worsens the patient's recovery process and causes burnout syndromes of caregivers, etc. Much research has been done in the last years to reduce false alarms and noise with smart and intelligent alarm systems. However, the situation has not improved. The developed systems are not used in the field, likely due to the “better-safe-than-sorry” mentality. Thus, we state that the first step to address alarm related problems is a safe and distributed system for alarm notifications. Therefore, we present mechanisms to generate alarm notifications safely at the place where they are needed by the caregivers, that is not necessarily the bedside. Our approach holds safety, risk management, and approval requirements. We use the new IEEE 11073 Service-oriented Device Connectivity (SDC) standard family. This ensures a safe interoperability of heterogeneous devices from multiple manufacturers, which is a major technical innovation, and makes the proposed system ready for future extensions like intelligent, computer-aided assistive systems. We therefore state that our mechanisms have a high potential to be used in the field and to improve clinical problems related to alarm notification systems. A demonstrator has been implemented for the proof of concept.
{"title":"A safe and interoperable distributed alarm notification system for PoC medical devices using IEEE 11073 SDC","authors":"Martin Kasparick, F. Golatowski, D. Timmermann","doi":"10.1109/HIC.2017.8227633","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227633","url":null,"abstract":"The flood of alarms produced by Point-of-Care (PoC) medical devices in intensive care units (ICUs) and operating rooms (ORs) is a crucial issue of today's hospitals. Alarm fatigue and desensitization leads to the death of patients, noise worsens the patient's recovery process and causes burnout syndromes of caregivers, etc. Much research has been done in the last years to reduce false alarms and noise with smart and intelligent alarm systems. However, the situation has not improved. The developed systems are not used in the field, likely due to the “better-safe-than-sorry” mentality. Thus, we state that the first step to address alarm related problems is a safe and distributed system for alarm notifications. Therefore, we present mechanisms to generate alarm notifications safely at the place where they are needed by the caregivers, that is not necessarily the bedside. Our approach holds safety, risk management, and approval requirements. We use the new IEEE 11073 Service-oriented Device Connectivity (SDC) standard family. This ensures a safe interoperability of heterogeneous devices from multiple manufacturers, which is a major technical innovation, and makes the proposed system ready for future extensions like intelligent, computer-aided assistive systems. We therefore state that our mechanisms have a high potential to be used in the field and to improve clinical problems related to alarm notification systems. A demonstrator has been implemented for the proof of concept.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116240508","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 : 2017-11-01DOI: 10.1109/HIC.2017.8227619
G. Umemura, J. Pinho, F. Furtado, B. Gonçalves, A. Fomer-Cordero
The analysis of sleep quality and its impact on diurnal sleepiness is a crucial aspect of human health. Modern life in large cities compels people to spend less hours sleeping than they need. A wearable actigraphy that records accelerometry, light and body temperature was used to register the sleep habits of 54 healthy subjects for 14 days. From them, 28 participants resided in a town that could be regarded as a rural environment while the other subjects lived in the largest metropole of South America. The subjects filled three questionnaires to assess sleep quality (Pittsburgh Sleep Quality Index — PSQI), sleepiness (Epworth Sleepiness Scale — ESS) and chronotype (Morningness-Eveningness Questionnaire — MEQ-HO). The subjects were divided in urban and rural groups and several parameters obtained from actigraphy were compared between groups. Overall, the metropolitan group had worse sleep parameters. The total sleep time in metropolitan group was lower than the rural population, as well as the sleep quality parameters such as sleep efficiency. A possible explanation for these differences could be the social and work characteristics imposed in the metropolitan environment, forcing subjects to stay awake longer and away of natural light exposure. Sleep disorders are associated with several health and brain function problems. Therefore, it is imperative to establish changes in daily routine to promote a better sleep quality and prevent sleep disorders.
{"title":"Comparison of sleep parameters assessed by actigraphy of healthy young adults from a small town and a megalopolis in an emerging country","authors":"G. Umemura, J. Pinho, F. Furtado, B. Gonçalves, A. Fomer-Cordero","doi":"10.1109/HIC.2017.8227619","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227619","url":null,"abstract":"The analysis of sleep quality and its impact on diurnal sleepiness is a crucial aspect of human health. Modern life in large cities compels people to spend less hours sleeping than they need. A wearable actigraphy that records accelerometry, light and body temperature was used to register the sleep habits of 54 healthy subjects for 14 days. From them, 28 participants resided in a town that could be regarded as a rural environment while the other subjects lived in the largest metropole of South America. The subjects filled three questionnaires to assess sleep quality (Pittsburgh Sleep Quality Index — PSQI), sleepiness (Epworth Sleepiness Scale — ESS) and chronotype (Morningness-Eveningness Questionnaire — MEQ-HO). The subjects were divided in urban and rural groups and several parameters obtained from actigraphy were compared between groups. Overall, the metropolitan group had worse sleep parameters. The total sleep time in metropolitan group was lower than the rural population, as well as the sleep quality parameters such as sleep efficiency. A possible explanation for these differences could be the social and work characteristics imposed in the metropolitan environment, forcing subjects to stay awake longer and away of natural light exposure. Sleep disorders are associated with several health and brain function problems. Therefore, it is imperative to establish changes in daily routine to promote a better sleep quality and prevent sleep disorders.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114482280","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 : 2017-11-01DOI: 10.1109/HIC.2017.8227605
Aman Rana, Gregory Yauney, Lawrence C. Wong, O. Gupta, A. Muftu, Pratik Shah
Periodontal diseases are the largest cause of tooth loss among people of all ages and are also correlated with systemic diseases such as endocarditis. Advanced periodontal disease comprises degradation of surrounding tooth structures, severe inflammation and gingival bleeding. Inflammation is an early indicator of periodontal disease. Early detection and preventive measures can help prevent serious occurrences of periodontal diseases and in most cases restore oral health. We report a machine learning classifier, trained with annotations from dental professionals, that successfully provides pixel-wise inflammation segmentations of color-augmented intraoral images. The classifier successfully distinguishes between inflamed and healthy gingiva and its area under the receiver operating characteristic curve is 0.746, with precision and recall of 0.347 and 0.621 respectively. Dental professionals and patients can benefit from automated point-of-care early diagnosis of periodontal diseases provided by this classifier using oral images acquired by intraoral imaging devices.
{"title":"Automated segmentation of gingival diseases from oral images","authors":"Aman Rana, Gregory Yauney, Lawrence C. Wong, O. Gupta, A. Muftu, Pratik Shah","doi":"10.1109/HIC.2017.8227605","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227605","url":null,"abstract":"Periodontal diseases are the largest cause of tooth loss among people of all ages and are also correlated with systemic diseases such as endocarditis. Advanced periodontal disease comprises degradation of surrounding tooth structures, severe inflammation and gingival bleeding. Inflammation is an early indicator of periodontal disease. Early detection and preventive measures can help prevent serious occurrences of periodontal diseases and in most cases restore oral health. We report a machine learning classifier, trained with annotations from dental professionals, that successfully provides pixel-wise inflammation segmentations of color-augmented intraoral images. The classifier successfully distinguishes between inflamed and healthy gingiva and its area under the receiver operating characteristic curve is 0.746, with precision and recall of 0.347 and 0.621 respectively. Dental professionals and patients can benefit from automated point-of-care early diagnosis of periodontal diseases provided by this classifier using oral images acquired by intraoral imaging devices.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132219954","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 : 2017-11-01DOI: 10.1109/HIC.2017.8227600
Tatiana Ortegon, Mario Vargas, A. Uribe-Quevedo, B. Perez-Gutierrez, David Rojas, B. Kapralos
Cardiac auscultation allows diagnosing the heart by listening to its sounds. Current cardiac auscultation training is seeing a preference towards diagnostics equipment such as the echocardiograph that allows visualizing and listening to the heart to determine how the heart is working, rather than the use of the stethoscope which only provides auditory feedback, resulting in a loss of stethoscope-based cardiac auscultation skills which are relevant in situations where it is the only cost-effective option available. Currently, virtual reality, simulation, and games are taking a prominent role in medical training, providing consumer-level immersive and interactive realistic experiences. Within these fields, user interfaces can provide more appropriate forms of interactions for developing cognitive and psychomotor skills. However, traditional controllers are widely employed and do not map adequately the functionality of real medical equipment, including the stethoscope. In this paper, we present the development of a 3D printed stethoscope prototype for practicing virtual cardiac auscultation examination training with a mobile app. Our goal is to evaluate its usability and user preferences during a virtual examination session.
{"title":"Development of a 3D printed stethoscope for virtual cardiac auscultation examination training","authors":"Tatiana Ortegon, Mario Vargas, A. Uribe-Quevedo, B. Perez-Gutierrez, David Rojas, B. Kapralos","doi":"10.1109/HIC.2017.8227600","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227600","url":null,"abstract":"Cardiac auscultation allows diagnosing the heart by listening to its sounds. Current cardiac auscultation training is seeing a preference towards diagnostics equipment such as the echocardiograph that allows visualizing and listening to the heart to determine how the heart is working, rather than the use of the stethoscope which only provides auditory feedback, resulting in a loss of stethoscope-based cardiac auscultation skills which are relevant in situations where it is the only cost-effective option available. Currently, virtual reality, simulation, and games are taking a prominent role in medical training, providing consumer-level immersive and interactive realistic experiences. Within these fields, user interfaces can provide more appropriate forms of interactions for developing cognitive and psychomotor skills. However, traditional controllers are widely employed and do not map adequately the functionality of real medical equipment, including the stethoscope. In this paper, we present the development of a 3D printed stethoscope prototype for practicing virtual cardiac auscultation examination training with a mobile app. Our goal is to evaluate its usability and user preferences during a virtual examination session.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129407934","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 : 2017-11-01DOI: 10.1109/HIC.2017.8227622
B. Nunna, D. Mandal, S. Zhuang, Eon Soo Lee
FDA has approved the cancer biomarkers like CA-125 (Cancer Antigen-125), HE4 (Human Epididymis Protein 4), PSA (Prostate Specific Antigen) etc., to monitor the cancer progression by measuring the concentration levels of biomarkers in the biofluid samples of the patients. This research paper explains the detection process of the Cancer Antigens-CA 125 from a micro volume of the biofluid sample. The biochip is incorporated with the sensing platform in a microfluidic channel to detect the cancer antigens during the biofluid flow in the microchannel. The sensing platform is designed with multiple layers, in order to enhance the antibody immobilization on nano circuit and thus the detection signal. The antigen-antibody interaction during the biofluid flow on the immobilized antibodies in the microchannel change the capacitance measurements in the sensing circuit. The change in the capacitance indicates the targeted cancer antigens concentration in the biofluid sample. The concentration of CA-125 antigens used in the experiment is 55ug/ml at a pH of 7.4, in order to establish the functionality of the biochip. The change in capacitance after the antigen-antibody interaction is 679.62 pF is when compared to the bare electrodes. The In-situ realtime measurement of cancer biomarkers from a finger prick blood sample in a simple and easy way using the micro biochip helps to monitor the cancer progression more easily and thus enable the enhanced cancer management.
{"title":"A standalone micro biochip to monitor the cancer progression by measuring cancer antigens as a point-of-care (POC) device for enhanced cancer management","authors":"B. Nunna, D. Mandal, S. Zhuang, Eon Soo Lee","doi":"10.1109/HIC.2017.8227622","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227622","url":null,"abstract":"FDA has approved the cancer biomarkers like CA-125 (Cancer Antigen-125), HE4 (Human Epididymis Protein 4), PSA (Prostate Specific Antigen) etc., to monitor the cancer progression by measuring the concentration levels of biomarkers in the biofluid samples of the patients. This research paper explains the detection process of the Cancer Antigens-CA 125 from a micro volume of the biofluid sample. The biochip is incorporated with the sensing platform in a microfluidic channel to detect the cancer antigens during the biofluid flow in the microchannel. The sensing platform is designed with multiple layers, in order to enhance the antibody immobilization on nano circuit and thus the detection signal. The antigen-antibody interaction during the biofluid flow on the immobilized antibodies in the microchannel change the capacitance measurements in the sensing circuit. The change in the capacitance indicates the targeted cancer antigens concentration in the biofluid sample. The concentration of CA-125 antigens used in the experiment is 55ug/ml at a pH of 7.4, in order to establish the functionality of the biochip. The change in capacitance after the antigen-antibody interaction is 679.62 pF is when compared to the bare electrodes. The In-situ realtime measurement of cancer biomarkers from a finger prick blood sample in a simple and easy way using the micro biochip helps to monitor the cancer progression more easily and thus enable the enhanced cancer management.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127702366","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 : 2017-11-01DOI: 10.1109/HIC.2017.8227586
Guillen-Peñarreta Jhonny, Vizhñay-Aguilar Carlos, S. Luis, Pinos-Velez Eduardo
A visually impaired person or a person with visually impaired, daily has difficulties to learn to recognize or differentiate objects when performing any activity, such as walking the streets or being able to recognize dollar bills of different denomination, this makes that the people with this type of disability cannot adapt easily to the society. Usually the visually impaired persons depend on someone to help them in their daily lives. The method that will be used for this problem is to adapt an ultrasonic sensor to the glasses, since most of the visually impaired persons wear glasses, there would not be any problem. The ultrasonic sensor will have its respective circuit, which will issue a repetitive vibration to indicate the proximity of an obstacle, an emergency button will be implemented too, in case it is necessary, it will send a signal to a mobile device (cellphone) that can be property of a family member or of a rescue service. In addition, an Android application that allows the visually impaired person to recognize dollar bills of different denomination.
{"title":"Special glasses for obstacle detection with location system in case of emergency and aid for recognition of dollar bills for visually impaired persons","authors":"Guillen-Peñarreta Jhonny, Vizhñay-Aguilar Carlos, S. Luis, Pinos-Velez Eduardo","doi":"10.1109/HIC.2017.8227586","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227586","url":null,"abstract":"A visually impaired person or a person with visually impaired, daily has difficulties to learn to recognize or differentiate objects when performing any activity, such as walking the streets or being able to recognize dollar bills of different denomination, this makes that the people with this type of disability cannot adapt easily to the society. Usually the visually impaired persons depend on someone to help them in their daily lives. The method that will be used for this problem is to adapt an ultrasonic sensor to the glasses, since most of the visually impaired persons wear glasses, there would not be any problem. The ultrasonic sensor will have its respective circuit, which will issue a repetitive vibration to indicate the proximity of an obstacle, an emergency button will be implemented too, in case it is necessary, it will send a signal to a mobile device (cellphone) that can be property of a family member or of a rescue service. In addition, an Android application that allows the visually impaired person to recognize dollar bills of different denomination.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124229443","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 : 2017-11-01DOI: 10.1109/HIC.2017.8227602
H. Maduwantha, I. Karunathilake, S. Jayasinghe, A. C. De Silva
Endothelial dysfunction is a well-known indication of the early stages of cardio vascular diseases. Non-invasive methods have grown with popularity in determining the endothelial health as it can be safely applied on people to obtain repeated measurements of vascular function overtime. This study presents a combined non-invasive endothelial function assessment method which acquires a Peripheral Arterial Tonometry (PAT) signal and a Digital Thermal Monitoring (DTM) signal from the fingertip. The endothelium was stimulated to induce reactive hyperemia by occluding the upper arm using a blood pressure cuff. The test was carried out on 11 diabetes and 21 non-diabetes participants and the acquired signals were pre-processed and subjected to parameter calculation. A one-way ANOVA carried out on the collected multivariate data set shows that the Reflection Index, TEMP-AUC, TMP-fall and Rise/fall parameters are significant in differentiating the non-diabetes from diabetes participants. A MANOVA carried out with the 4 significant parameters identified in ANOVA indicates that, when the parameters are considered together, it has a significant effect in differentiating diabetes participants from the non-diabetes participants. It suggests that with an extensive data collection, the system can be trained to a level which could assess the level of endothelial health thus could be used as a screening system for determining the likelihood of having vascular diseases.
{"title":"Analysis of parameters derived from peripheral arterial tonometry and digital thermal monitoring signals for assessing endothelial dysfunction","authors":"H. Maduwantha, I. Karunathilake, S. Jayasinghe, A. C. De Silva","doi":"10.1109/HIC.2017.8227602","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227602","url":null,"abstract":"Endothelial dysfunction is a well-known indication of the early stages of cardio vascular diseases. Non-invasive methods have grown with popularity in determining the endothelial health as it can be safely applied on people to obtain repeated measurements of vascular function overtime. This study presents a combined non-invasive endothelial function assessment method which acquires a Peripheral Arterial Tonometry (PAT) signal and a Digital Thermal Monitoring (DTM) signal from the fingertip. The endothelium was stimulated to induce reactive hyperemia by occluding the upper arm using a blood pressure cuff. The test was carried out on 11 diabetes and 21 non-diabetes participants and the acquired signals were pre-processed and subjected to parameter calculation. A one-way ANOVA carried out on the collected multivariate data set shows that the Reflection Index, TEMP-AUC, TMP-fall and Rise/fall parameters are significant in differentiating the non-diabetes from diabetes participants. A MANOVA carried out with the 4 significant parameters identified in ANOVA indicates that, when the parameters are considered together, it has a significant effect in differentiating diabetes participants from the non-diabetes participants. It suggests that with an extensive data collection, the system can be trained to a level which could assess the level of endothelial health thus could be used as a screening system for determining the likelihood of having vascular diseases.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"28 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132532135","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 : 2017-11-01DOI: 10.1109/HIC.2017.8227574
Ebrahim Nemati, D. Liaqat, Md. Mahbubur Rahman, Jilong Kuang
This work presents a novel algorithm for recognizing activity states which are of interest for assessing the general well-being of cancer, frail and elderly patients. Using the novel idea of two-level classification, misclassification due to unwanted hand motion noise, which is a common source of error in wrist-worn sensing systems, is mitigated. The algorithm is verified using data from 20 subjects performing a sequence of related activities. It is shown that the proposed algorithm improves the accuracy value for the “activity state” which includes “sit”, “stand” and “move” by up to 8%.
{"title":"A novel algorithm for activity state recognition using smartwatch data","authors":"Ebrahim Nemati, D. Liaqat, Md. Mahbubur Rahman, Jilong Kuang","doi":"10.1109/HIC.2017.8227574","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227574","url":null,"abstract":"This work presents a novel algorithm for recognizing activity states which are of interest for assessing the general well-being of cancer, frail and elderly patients. Using the novel idea of two-level classification, misclassification due to unwanted hand motion noise, which is a common source of error in wrist-worn sensing systems, is mitigated. The algorithm is verified using data from 20 subjects performing a sequence of related activities. It is shown that the proposed algorithm improves the accuracy value for the “activity state” which includes “sit”, “stand” and “move” by up to 8%.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"468 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122021385","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 : 2017-11-01DOI: 10.1109/HIC.2017.8227592
Chenxi Yang, Negar Tavassolian
This paper presents a pilot study on a new method of measuring pulse transit time (PTT) using a commercial smartphone. An application based on an Android smartphone is developed to collect seismocardiogram (SCG) and gyrocardiogram (GCG) signals. The system is designed with a minimized amount of external sensors to reduce the total cost and complexity of the system. PTT measurements are calculated as a time difference between the fiducial points in photoplethysmography (PPG) recordings from a reference sensor module and SCG or GCG signals detected by the internal inertial sensors of a smartphone. A DSP system is designed and experimentally tested on five healthy subjects at rest. Our results suggest that the proposed solution could be a promising method to develop a low-cost, home-based PTT monitor.
{"title":"A feasibility study on a low-cost, smartphone-based solution of pulse transit time measurement using cardio-mechanical signals","authors":"Chenxi Yang, Negar Tavassolian","doi":"10.1109/HIC.2017.8227592","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227592","url":null,"abstract":"This paper presents a pilot study on a new method of measuring pulse transit time (PTT) using a commercial smartphone. An application based on an Android smartphone is developed to collect seismocardiogram (SCG) and gyrocardiogram (GCG) signals. The system is designed with a minimized amount of external sensors to reduce the total cost and complexity of the system. PTT measurements are calculated as a time difference between the fiducial points in photoplethysmography (PPG) recordings from a reference sensor module and SCG or GCG signals detected by the internal inertial sensors of a smartphone. A DSP system is designed and experimentally tested on five healthy subjects at rest. Our results suggest that the proposed solution could be a promising method to develop a low-cost, home-based PTT monitor.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115558814","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 : 2017-11-01DOI: 10.1109/HIC.2017.8227613
Cheng Cheng, Haochen Cui, S. Eda, Jayne Wu
The past decades have witnessed rapidly growing demands for portable, low-cost bioassays with minimal complexity in manufacturing, operation and instrumentation that can provide reliable real-time information for clinical diagnosis. To address this need, an “AC electrokinetic (ACEK) capacitive sensing” method is developed that is capable of rapid, low cost and simple-to-operate specific assay for use with practical samples. The major innovation with this sensing technology is its ability to simultaneously generate ACEK effects in the fluid and to interrogate directly the sensor's interfacial capacitance. The AC signal will induce movement of proteins towards the electrode surface and accelerate the binding to immobilized probe molecules. The binding of protein is sensitively detected by monitoring the interfacial capacitance of electrode. Preliminary experiments from biological fluids yielded highly encouraging results, with limits of detection at 2.3 pg/mL measured by a benchtop instrument and around 5 pg/mL by a portable reader, which is on par with the best laboratory assay available and ours is a POC technology. This article presents the mechanisms, development and test results of this POC immunoassay.
{"title":"Sensitive and specific point-of-care detection of pathogen infections by an AC electrokinetics-enhanced capacitive immunosensor","authors":"Cheng Cheng, Haochen Cui, S. Eda, Jayne Wu","doi":"10.1109/HIC.2017.8227613","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227613","url":null,"abstract":"The past decades have witnessed rapidly growing demands for portable, low-cost bioassays with minimal complexity in manufacturing, operation and instrumentation that can provide reliable real-time information for clinical diagnosis. To address this need, an “AC electrokinetic (ACEK) capacitive sensing” method is developed that is capable of rapid, low cost and simple-to-operate specific assay for use with practical samples. The major innovation with this sensing technology is its ability to simultaneously generate ACEK effects in the fluid and to interrogate directly the sensor's interfacial capacitance. The AC signal will induce movement of proteins towards the electrode surface and accelerate the binding to immobilized probe molecules. The binding of protein is sensitively detected by monitoring the interfacial capacitance of electrode. Preliminary experiments from biological fluids yielded highly encouraging results, with limits of detection at 2.3 pg/mL measured by a benchtop instrument and around 5 pg/mL by a portable reader, which is on par with the best laboratory assay available and ours is a POC technology. This article presents the mechanisms, development and test results of this POC immunoassay.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"358 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122812185","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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