Pub Date : 2016-05-15DOI: 10.1109/MeMeA.2016.7533813
A. Dineva, J. Tar, A. Várkonyi-Kóczy, V. Piuri
In recent years automated anesthesia has gained much interest. In this paper the applicability of the Fixed Point Transformation-based Adaptive Control design for automatic control of the depth of hypnosis during surgical operation has been investigated. The applied control design assumes the availability of the rough model of the dynamic system under control. The here presented technique regulates the WAVCNS index as the only measurable variable by controling the intravenous propofol administration. Simulation results validate that the proposed control design ensures promising performance and is able to cope with unexpected surgical stimulations and anesthetic interactions during surgical procedures.
{"title":"Adaptive controller using fixed point transformation for regulating propofol administration through wavelet-based anesthetic value","authors":"A. Dineva, J. Tar, A. Várkonyi-Kóczy, V. Piuri","doi":"10.1109/MeMeA.2016.7533813","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533813","url":null,"abstract":"In recent years automated anesthesia has gained much interest. In this paper the applicability of the Fixed Point Transformation-based Adaptive Control design for automatic control of the depth of hypnosis during surgical operation has been investigated. The applied control design assumes the availability of the rough model of the dynamic system under control. The here presented technique regulates the WAVCNS index as the only measurable variable by controling the intravenous propofol administration. Simulation results validate that the proposed control design ensures promising performance and is able to cope with unexpected surgical stimulations and anesthetic interactions during surgical procedures.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"458 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116771219","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 : 2016-05-15DOI: 10.1109/MeMeA.2016.7533738
S. Upadhyaya, Won-sook Lee, C. Joslin
Human motion analysis has numerous applications ranging from gait analysis to prosthetic manufacturing. Amongst various techniques, use of retroreflective markers placed on skin to estimate the underlying bone movement is well established. Most commonly used movement types such as flexion, abduction and circumduction often suffer from measurement errors due to displacement of markers placed on skin with respect to underlying bone. Hence, its use is limited in clinical and biomechanical applications. Here, we are elaborating the possibility of using ultrasound imaging as an ad hoc to track the movement of underlying femur bone during these movements. It is shown that the bone displacement varies significantly amongst subjects, movement type and probe placement on thigh. This will open the grounds of getting patient specific joint movements with more accuracy than motion capture alone. The approximated fitting of marker data is often useful but they are not seamlessly accurate. Previously [17] we have highlighted the use of ultrasound imaging to compensate the soft tissue error in finding functional hip joint centre through flexion movement. In this paper we have explained our methodology of extracting bone edges and tracking the underlying bone displacement using ultrasound imaging to compare how different movement types affect internal bone movements for different subjects which can be extended to be applied to other applications of human joint research.
{"title":"Patient specific bone tracking using ultrasound for human movement analysis","authors":"S. Upadhyaya, Won-sook Lee, C. Joslin","doi":"10.1109/MeMeA.2016.7533738","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533738","url":null,"abstract":"Human motion analysis has numerous applications ranging from gait analysis to prosthetic manufacturing. Amongst various techniques, use of retroreflective markers placed on skin to estimate the underlying bone movement is well established. Most commonly used movement types such as flexion, abduction and circumduction often suffer from measurement errors due to displacement of markers placed on skin with respect to underlying bone. Hence, its use is limited in clinical and biomechanical applications. Here, we are elaborating the possibility of using ultrasound imaging as an ad hoc to track the movement of underlying femur bone during these movements. It is shown that the bone displacement varies significantly amongst subjects, movement type and probe placement on thigh. This will open the grounds of getting patient specific joint movements with more accuracy than motion capture alone. The approximated fitting of marker data is often useful but they are not seamlessly accurate. Previously [17] we have highlighted the use of ultrasound imaging to compensate the soft tissue error in finding functional hip joint centre through flexion movement. In this paper we have explained our methodology of extracting bone edges and tracking the underlying bone displacement using ultrasound imaging to compare how different movement types affect internal bone movements for different subjects which can be extended to be applied to other applications of human joint research.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122430186","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 : 2016-05-15DOI: 10.1109/MeMeA.2016.7533780
Andrea Bagni, A. Conti, Stefania Bartoletti, Damiano Menin, G. Sineri, Cecilia Domenicali, Vincenzo Fornario, G. Garani, E. Ballardini, C. Borgna-Pignatti, M. Dondi
Spontaneous startle represents a complex motor pattern, consisting of sudden and jerky movements, which typically occurs during quiet sleep in fullterm and preterm neonates. It has been studied as an endogenous behavior by focusing on its potential contribution to an early diagnosis of central nervous system (CNS) dysfunctions. This paper aims to develop and validate an automated and non-invasive method for inferring spontaneous startles in preterm neonates. Such inference relies on measurements gathered via a hypo-allergenic pad containing a matrix of networked sensors able to measure pressure over time. The measurements gathered by sensors are processed to determine spatiotemporal features allowing to infer spontaneous startles and discriminate them from other behaviors, as well as to identify anomalies and atypical patterns possibly related to CNS issues. Preliminary results based on measurements will be presented, showing the potential benefits of the proposed method in spontaneous startle recognition.
{"title":"Clinical analysis of spontaneous startles in preterm neonates via sensor networks","authors":"Andrea Bagni, A. Conti, Stefania Bartoletti, Damiano Menin, G. Sineri, Cecilia Domenicali, Vincenzo Fornario, G. Garani, E. Ballardini, C. Borgna-Pignatti, M. Dondi","doi":"10.1109/MeMeA.2016.7533780","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533780","url":null,"abstract":"Spontaneous startle represents a complex motor pattern, consisting of sudden and jerky movements, which typically occurs during quiet sleep in fullterm and preterm neonates. It has been studied as an endogenous behavior by focusing on its potential contribution to an early diagnosis of central nervous system (CNS) dysfunctions. This paper aims to develop and validate an automated and non-invasive method for inferring spontaneous startles in preterm neonates. Such inference relies on measurements gathered via a hypo-allergenic pad containing a matrix of networked sensors able to measure pressure over time. The measurements gathered by sensors are processed to determine spatiotemporal features allowing to infer spontaneous startles and discriminate them from other behaviors, as well as to identify anomalies and atypical patterns possibly related to CNS issues. Preliminary results based on measurements will be presented, showing the potential benefits of the proposed method in spontaneous startle recognition.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114409629","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 : 2016-05-15DOI: 10.1109/MeMeA.2016.7533721
A. Rossi, F. Orsini, A. Scorza, F. Botta, S. Sciuto, R. D. Giminiani
Whole-body vibration (WBV) is receiving increasing interest as an exercise intervention in physiology and rehabilitation. Although there are many commercial and professional WBV platforms to provide controlled vibrations, very few have actually been tested in terms of amplitude (mm), frequency spectra (Hz) and shape of the vibratory motion wave. In this regard a prototype of a novel WBV platform where the vibration amplitude can be set to three values in the frequency range 20-60 Hz is here proposed. The device has been preliminarily characterized by processing the measurement signal from a piezoelectric monoaxial accelerometer mounted in the center of the WBV plate. In particular the accelerometer signal has been processed to evaluate frequency spectrum, waveform shape and displacement. Moreover to evaluate the performance of the prototype, same tests were carried out on an equivalent professional WBV platform, so that data coming from the two platforms have been compared and commented: test results have shown that the vibrations produced by the two WBV plates are very similar, nevertheless it has been found that the prototype works with a maximum error of about 5 % in frequency, that is less than in the other devices, furthermore the greater distortion of the signal is always at the twice of the operating frequency (second harmonic). Further investigations are needed to complete the characterization of the prototype and assess the vibration amplitude is not load dependent.
{"title":"A preliminary characterization of a whole body vibration platform prototype for medical and rehabilitation application","authors":"A. Rossi, F. Orsini, A. Scorza, F. Botta, S. Sciuto, R. D. Giminiani","doi":"10.1109/MeMeA.2016.7533721","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533721","url":null,"abstract":"Whole-body vibration (WBV) is receiving increasing interest as an exercise intervention in physiology and rehabilitation. Although there are many commercial and professional WBV platforms to provide controlled vibrations, very few have actually been tested in terms of amplitude (mm), frequency spectra (Hz) and shape of the vibratory motion wave. In this regard a prototype of a novel WBV platform where the vibration amplitude can be set to three values in the frequency range 20-60 Hz is here proposed. The device has been preliminarily characterized by processing the measurement signal from a piezoelectric monoaxial accelerometer mounted in the center of the WBV plate. In particular the accelerometer signal has been processed to evaluate frequency spectrum, waveform shape and displacement. Moreover to evaluate the performance of the prototype, same tests were carried out on an equivalent professional WBV platform, so that data coming from the two platforms have been compared and commented: test results have shown that the vibrations produced by the two WBV plates are very similar, nevertheless it has been found that the prototype works with a maximum error of about 5 % in frequency, that is less than in the other devices, furthermore the greater distortion of the signal is always at the twice of the operating frequency (second harmonic). Further investigations are needed to complete the characterization of the prototype and assess the vibration amplitude is not load dependent.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114592494","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 : 2016-05-15DOI: 10.1109/MeMeA.2016.7533723
G. Andria, F. Attivissimo, A. Nisio, A. Lanzolla, M. Spadavecchia
Digital breast tomosynthesis provides significant opportunities in both diagnostic and cancer screening. It gives high quality image and overcomes some inherent limitations of the traditional 2D digital mammography due to tissues overlapping which makes difficult to detect cancers. Unfortunately, the quality of tomographic images is directly related to the radiation dose on the patient and it is significantly affected by the parameters set by the technician during the mammographic exam. Normally, breast tomosynthesis provides a little increase in radiation dose with respect 2D mammography. The aim of this study is to investigate the relation between the radiation dose on the patient and the resulting image quality, by comparing the tomosynthesis performance with the 2D digital mammography.
{"title":"Image quality evaluation of breast tomosynthesis","authors":"G. Andria, F. Attivissimo, A. Nisio, A. Lanzolla, M. Spadavecchia","doi":"10.1109/MeMeA.2016.7533723","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533723","url":null,"abstract":"Digital breast tomosynthesis provides significant opportunities in both diagnostic and cancer screening. It gives high quality image and overcomes some inherent limitations of the traditional 2D digital mammography due to tissues overlapping which makes difficult to detect cancers. Unfortunately, the quality of tomographic images is directly related to the radiation dose on the patient and it is significantly affected by the parameters set by the technician during the mammographic exam. Normally, breast tomosynthesis provides a little increase in radiation dose with respect 2D mammography. The aim of this study is to investigate the relation between the radiation dose on the patient and the resulting image quality, by comparing the tomosynthesis performance with the 2D digital mammography.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128411866","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 : 2016-05-15DOI: 10.1109/MeMeA.2016.7533725
S. Saponara
The paper shows the design of an athlete performance measurement system for combat sports, which are still characterized by traditional training methods that give the athletes rules to reach effective shots, but without any objective measure. This work aims at a new instrumentation to measure the effectiveness of athletes' training, their moves, their shots, with lower cost than expensive devices available at state of art, whose measures are hard to correlate with useful human parameters. To serve also the market of non-professional athletes a cheap measuring system, based on accelerometers and strain gauges, operating in real time, has been developed and experimentally tested in real-world scenarios. It is organized as a distributed network of three node types: 2 battery-powered wireless sensing nodes to be worn by the athletes and 1 master node managing signal acquisition, processing for statistics, visualization either in real-time during a combat training session or off-line for post-training performance analysis.
{"title":"Biometric performance measurements in combat sports","authors":"S. Saponara","doi":"10.1109/MeMeA.2016.7533725","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533725","url":null,"abstract":"The paper shows the design of an athlete performance measurement system for combat sports, which are still characterized by traditional training methods that give the athletes rules to reach effective shots, but without any objective measure. This work aims at a new instrumentation to measure the effectiveness of athletes' training, their moves, their shots, with lower cost than expensive devices available at state of art, whose measures are hard to correlate with useful human parameters. To serve also the market of non-professional athletes a cheap measuring system, based on accelerometers and strain gauges, operating in real time, has been developed and experimentally tested in real-world scenarios. It is organized as a distributed network of three node types: 2 battery-powered wireless sensing nodes to be worn by the athletes and 1 master node managing signal acquisition, processing for statistics, visualization either in real-time during a combat training session or off-line for post-training performance analysis.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124544810","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 : 2016-05-15DOI: 10.1109/MeMeA.2016.7533758
S. Pullano, A. Fiorillo, N. Vanello, L. Landini
The development of innovative ultrasonic devices can open up new perspectives for navigation in unstructured environments. Recent literature reports much investigation carried out with the aim of improving the performance of the navigational capabilities of robots and the development of medical aids for people with disabilities. The aim of the present work is focused on the development of a sonar-based aid for multiple obstacle detection. The device is a low-cost piezopolymer-based transducer that allows the reception/transmission of broadband signals. Three time-of-flight estimation approaches are herein compared using both real and simulated data. Specifically, the performance of the system in the case of two reflecting surfaces is evaluated in terms of both relative and absolute target distance measurement. The proposed approaches are based on signal envelope, cross-correlation and the least mean square adaptive filtering algorithm, respectively. Preliminary results show that although the envelope-based approach offers better performance in the case of a single target, the adaptive filter-based approach shows interesting properties in more complex scenarios.
{"title":"Obstacle detection system based on low quality factor ultrasonic transducers for medical devices","authors":"S. Pullano, A. Fiorillo, N. Vanello, L. Landini","doi":"10.1109/MeMeA.2016.7533758","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533758","url":null,"abstract":"The development of innovative ultrasonic devices can open up new perspectives for navigation in unstructured environments. Recent literature reports much investigation carried out with the aim of improving the performance of the navigational capabilities of robots and the development of medical aids for people with disabilities. The aim of the present work is focused on the development of a sonar-based aid for multiple obstacle detection. The device is a low-cost piezopolymer-based transducer that allows the reception/transmission of broadband signals. Three time-of-flight estimation approaches are herein compared using both real and simulated data. Specifically, the performance of the system in the case of two reflecting surfaces is evaluated in terms of both relative and absolute target distance measurement. The proposed approaches are based on signal envelope, cross-correlation and the least mean square adaptive filtering algorithm, respectively. Preliminary results show that although the envelope-based approach offers better performance in the case of a single target, the adaptive filter-based approach shows interesting properties in more complex scenarios.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131970830","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 : 2016-05-15DOI: 10.1109/MeMeA.2016.7533704
Alberto López, D. Fernandez, Francisco Javier Ferrero Martín, M. Valledor, O. Postolache
Electrooculography (EOG) is one of the occulography methods used for the estimation of eye orientation. These signals, generated by eye movements, can be used in an efficient way as input in different control systems. So, the signal processing of the EOG signal is a key point when performing complex tasks, for instance, in a Human-Machine Interface (HMI). In this sense machine learning algorithms allow patterns in data to be identified, and then, to predict future actions using those patterns that have been learned. This paper presents a signal processing module for EOG signals, applying Wavelets Transform (WT) as a denoising procedure and AdaBoost as a machine learning algorithm.
{"title":"EOG signal processing module for medical assistive systems","authors":"Alberto López, D. Fernandez, Francisco Javier Ferrero Martín, M. Valledor, O. Postolache","doi":"10.1109/MeMeA.2016.7533704","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533704","url":null,"abstract":"Electrooculography (EOG) is one of the occulography methods used for the estimation of eye orientation. These signals, generated by eye movements, can be used in an efficient way as input in different control systems. So, the signal processing of the EOG signal is a key point when performing complex tasks, for instance, in a Human-Machine Interface (HMI). In this sense machine learning algorithms allow patterns in data to be identified, and then, to predict future actions using those patterns that have been learned. This paper presents a signal processing module for EOG signals, applying Wavelets Transform (WT) as a denoising procedure and AdaBoost as a machine learning algorithm.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132445200","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 : 2016-05-15DOI: 10.1109/MeMeA.2016.7533699
M. Frydrysiak, Lukasz Tesiorowski
A growing number of elderly people in Poland and Europe forces to look for new solutions for the continuous monitoring of people health state. This approach allows elderly for an action in case of dangerous situations for older patients' life (state before heart attack or stroke, etc.). The system for continuously monitoring the health state also allows a quick action of first contact doctors in the case of emergency situations. That described system also allows relatives of elderly people in their homes to remotely monitor them. The monitoring system is portable, comfortable to use and allows non-invasive measurement methods. This kind of clothing is fully user-friendly product. The textronics system is a new product for monitoring selected human physiological parameters such as: pulse, frequency of breathing, underclothing temperature, positioning inside and outside the house. Textile sensory elements and signal lines are implemented in the structure of the clothing and that solution is a main innovation of this kind of systems. System of a textile sensor is a part of a garment and it is fully portable, easy for using and does not require specialized medical services. Furthermore, measurement of physiological parameters is non-invasive which means that does not interfere directly in the human body. The system is completely safe because it is supplied by a miniature battery such as used in mobile phones. The combination of textile clothing interface with specialized software for data acquisition and generation of alarm signals provides a continuous overview of the health status of the monitored person.
{"title":"Wearable textronic system for protecting elderly people","authors":"M. Frydrysiak, Lukasz Tesiorowski","doi":"10.1109/MeMeA.2016.7533699","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533699","url":null,"abstract":"A growing number of elderly people in Poland and Europe forces to look for new solutions for the continuous monitoring of people health state. This approach allows elderly for an action in case of dangerous situations for older patients' life (state before heart attack or stroke, etc.). The system for continuously monitoring the health state also allows a quick action of first contact doctors in the case of emergency situations. That described system also allows relatives of elderly people in their homes to remotely monitor them. The monitoring system is portable, comfortable to use and allows non-invasive measurement methods. This kind of clothing is fully user-friendly product. The textronics system is a new product for monitoring selected human physiological parameters such as: pulse, frequency of breathing, underclothing temperature, positioning inside and outside the house. Textile sensory elements and signal lines are implemented in the structure of the clothing and that solution is a main innovation of this kind of systems. System of a textile sensor is a part of a garment and it is fully portable, easy for using and does not require specialized medical services. Furthermore, measurement of physiological parameters is non-invasive which means that does not interfere directly in the human body. The system is completely safe because it is supplied by a miniature battery such as used in mobile phones. The combination of textile clothing interface with specialized software for data acquisition and generation of alarm signals provides a continuous overview of the health status of the monitored person.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131312021","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 : 2016-05-15DOI: 10.1109/MeMeA.2016.7533707
C. Crema, A. Depari, A. Flammini, E. Sisinni, A. Vezzoli
Traditional healthcare solutions oblige patients to stay in hospital; bio-signal monitoring and treatment dosing require the presence of specialized personnel. In turn, this scenario implies high-cost, especially for chronic diseases or fragile people surveillance. Wearable sensor-based healthcare solutions may be an effective approach for lowering costs, since they offer good performance and can be used directly at home, e.g., for permanent self-monitoring. In addition, their communication capabilities make easier to exchange information with remotely located professionals. Wearables are smart objects, consisting of sensors, processing units and communication modules, which rely on a smartphone for data collection, display and remote communication. In this paper, authors modify this paradigm moving the computational capability out of the wearable into the smartphone; in this way, raw vital signal stream can be obtained, overcoming possible limitations of the wearable itself. The aim of the work is to verify multichannel capability of the proposed approach, which paves the way to multi-parametric bio-signal analysis. An experimental setup has been arranged using a real-world smartphone and tests have been carried out to evaluate the performance. In particular, it has been verified that three ECG-like signals can be simultaneously collected leveraging on simple multiplexing in the frequency domain.
{"title":"The WearPhone: Changing smartphones into multichannel vital signs monitors","authors":"C. Crema, A. Depari, A. Flammini, E. Sisinni, A. Vezzoli","doi":"10.1109/MeMeA.2016.7533707","DOIUrl":"https://doi.org/10.1109/MeMeA.2016.7533707","url":null,"abstract":"Traditional healthcare solutions oblige patients to stay in hospital; bio-signal monitoring and treatment dosing require the presence of specialized personnel. In turn, this scenario implies high-cost, especially for chronic diseases or fragile people surveillance. Wearable sensor-based healthcare solutions may be an effective approach for lowering costs, since they offer good performance and can be used directly at home, e.g., for permanent self-monitoring. In addition, their communication capabilities make easier to exchange information with remotely located professionals. Wearables are smart objects, consisting of sensors, processing units and communication modules, which rely on a smartphone for data collection, display and remote communication. In this paper, authors modify this paradigm moving the computational capability out of the wearable into the smartphone; in this way, raw vital signal stream can be obtained, overcoming possible limitations of the wearable itself. The aim of the work is to verify multichannel capability of the proposed approach, which paves the way to multi-parametric bio-signal analysis. An experimental setup has been arranged using a real-world smartphone and tests have been carried out to evaluate the performance. In particular, it has been verified that three ECG-like signals can be simultaneously collected leveraging on simple multiplexing in the frequency domain.","PeriodicalId":221120,"journal":{"name":"2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"406 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115235826","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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