Pub Date : 2023-01-01DOI: 10.5220/0011668300003414
Christian Lins, Franziska Quang, Rica Schulze, Stefanie Lins, Andreas Hein, Sebastian J. F. Fudickar
{"title":"An Android App for Posture Analysis Using OWAS","authors":"Christian Lins, Franziska Quang, Rica Schulze, Stefanie Lins, Andreas Hein, Sebastian J. F. Fudickar","doi":"10.5220/0011668300003414","DOIUrl":"https://doi.org/10.5220/0011668300003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"34 1","pages":"307-313"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79134098","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 : 2023-01-01DOI: 10.5220/0011803700003414
Vijay Kumar, Vatsal Agrawal, S. Azad, Kolin Paul
{"title":"Deep Learning Assisted Plus Disease Screening of Retinal Image of Infants","authors":"Vijay Kumar, Vatsal Agrawal, S. Azad, Kolin Paul","doi":"10.5220/0011803700003414","DOIUrl":"https://doi.org/10.5220/0011803700003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"11 1","pages":"538-545"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76996394","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 : 2023-01-01DOI: 10.5220/0011735900003414
Muhammad Sulaiman, Anne Håkansson, Randi Karlsen
{"title":"Fit-Twin: A Digital Twin of a User with Wearables and Context as Input for Health Promotion","authors":"Muhammad Sulaiman, Anne Håkansson, Randi Karlsen","doi":"10.5220/0011735900003414","DOIUrl":"https://doi.org/10.5220/0011735900003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"56 1","pages":"461-470"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78999455","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 : 2023-01-01DOI: 10.5220/0011778500003414
Tim Leistner, T. Kowatsch
{"title":"Digital Therapeutics for Healthy Longevity: A Roadmap","authors":"Tim Leistner, T. Kowatsch","doi":"10.5220/0011778500003414","DOIUrl":"https://doi.org/10.5220/0011778500003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"53 1","pages":"616-622"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76867030","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 : 2023-01-01DOI: 10.5220/0011676300003414
Haruka Kamachi, Sae Ohkubo, Anna Yokokubo, G. Lopez
: Obesity may cause lifestyle diseases such as diabetes and high blood pressure. Eating slowly and chewing well are essential to prevent obesity. This research aims to improve the consciousness of dietary behavior based on eating habits by quantifying eating behavior. It proposes “ChewReminder,” a smartphone application software that detects eating activities in real-time under a natural meal environment and gives feedback based on detected activity. ChewReminder detects four activities: chewing, swallowing, talking, and other.The smartwatch gives feedback using vibration depend on chewing count per one bite which information was linked from the smartphone. Also, the total feedback about the meal was displayed on the smartphone after finishing the meal. The chewing count for 70% subjects and chewing pace for more than half subjects was improved with using ChewReminder by the result of total chewing count, average of chewing count per bite and chewing pace. ChewReminder is effective especially people who are aware of fast eating. Also, the result of long-term experiment indicated that feedback displayed on a smartphone was effective to improve consciousness of eating activity. Therefore, the result of both experiment shows that ChewReminder is a valid system to improve consciousness of eating activity especially chewing activity.
{"title":"Eating Habit Improvement System Using Dietary Sound","authors":"Haruka Kamachi, Sae Ohkubo, Anna Yokokubo, G. Lopez","doi":"10.5220/0011676300003414","DOIUrl":"https://doi.org/10.5220/0011676300003414","url":null,"abstract":": Obesity may cause lifestyle diseases such as diabetes and high blood pressure. Eating slowly and chewing well are essential to prevent obesity. This research aims to improve the consciousness of dietary behavior based on eating habits by quantifying eating behavior. It proposes “ChewReminder,” a smartphone application software that detects eating activities in real-time under a natural meal environment and gives feedback based on detected activity. ChewReminder detects four activities: chewing, swallowing, talking, and other.The smartwatch gives feedback using vibration depend on chewing count per one bite which information was linked from the smartphone. Also, the total feedback about the meal was displayed on the smartphone after finishing the meal. The chewing count for 70% subjects and chewing pace for more than half subjects was improved with using ChewReminder by the result of total chewing count, average of chewing count per bite and chewing pace. ChewReminder is effective especially people who are aware of fast eating. Also, the result of long-term experiment indicated that feedback displayed on a smartphone was effective to improve consciousness of eating activity. Therefore, the result of both experiment shows that ChewReminder is a valid system to improve consciousness of eating activity especially chewing activity.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"583 1","pages":"346-353"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76782380","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 : 2023-01-01DOI: 10.5220/0011926500003414
Raul Kaizer, Leonardo Sestrem, Tiago Franco, João Gonçalves, J. Teixeira, J. Lima, J. Carvalho, Paulo Leitão
: Reliable ways to treat and monitor patients remotely have been researched and proposed by numerous people. Many of these propositions are under the wearable category due to it usually not requiring deep knowledge to be handled and its durability. Among the many applicable ways, fall monitoring has gained importance as the world population ages and countries aim to increase the quality of life. For it to be possible, there are many ways such as analyzing muscle response, body position, or brain activities, but for most of them, the result ends up being expensive and or inaccurate. With this in mind, this paper brings the development of an acquisition system for electromyography, electrocardiography, body position and temperature. The acquired data is transmitted to the smartphone through Bluetooth Low Energy (BLE) and then sent to a secure cloud to be provided to the physician. In future works, artificial intelligence codes will analyze the data patterns to predict fall occurrences and establish functional electrical stimulation (FES) routines to prevent falls and or treat the patients according to their necessities.
{"title":"Data Acquisition System for a Wearable-Based Fall Prevention","authors":"Raul Kaizer, Leonardo Sestrem, Tiago Franco, João Gonçalves, J. Teixeira, J. Lima, J. Carvalho, Paulo Leitão","doi":"10.5220/0011926500003414","DOIUrl":"https://doi.org/10.5220/0011926500003414","url":null,"abstract":": Reliable ways to treat and monitor patients remotely have been researched and proposed by numerous people. Many of these propositions are under the wearable category due to it usually not requiring deep knowledge to be handled and its durability. Among the many applicable ways, fall monitoring has gained importance as the world population ages and countries aim to increase the quality of life. For it to be possible, there are many ways such as analyzing muscle response, body position, or brain activities, but for most of them, the result ends up being expensive and or inaccurate. With this in mind, this paper brings the development of an acquisition system for electromyography, electrocardiography, body position and temperature. The acquired data is transmitted to the smartphone through Bluetooth Low Energy (BLE) and then sent to a secure cloud to be provided to the physician. In future works, artificial intelligence codes will analyze the data patterns to predict fall occurrences and establish functional electrical stimulation (FES) routines to prevent falls and or treat the patients according to their necessities.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"108 1","pages":"701-710"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87573276","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 : 2023-01-01DOI: 10.5220/0011690300003414
Flannagán Noonan, Juncal Nogales, Ciaran Doyle, Eilish Broderick, Joseph Walsh
: The costs of supporting hospitals are rising, bed numbers are falling and a growing population living longer will require more hospital visits over their lifetime. Thus there is a global focus on increasing the efficiency of patient throughput in a hospital. Bed management systems are still commonly paper-based and are effectively memory-less from the hospital point of view. The hospital information systems are typically billing and ordering systems with minimal information on patient movement along the patient pathway. The literature suggests that technology and shared information allow for shared views to model and predict usage to better manage finite resources. Paper-based systems work against this. This paper presents the design considerations for a bed management application developed in conjunction with a local private hospital. The application developed, provides a hospital-wide view of patient and bed status by recording and capturing touchpoints, that is patient-hospital interactions. Furthermore, it captures data electronically such that the data can be used for analysing patient presentation and bed moving with a view to improve bed management and patient throughput.
{"title":"Bed Management System Development","authors":"Flannagán Noonan, Juncal Nogales, Ciaran Doyle, Eilish Broderick, Joseph Walsh","doi":"10.5220/0011690300003414","DOIUrl":"https://doi.org/10.5220/0011690300003414","url":null,"abstract":": The costs of supporting hospitals are rising, bed numbers are falling and a growing population living longer will require more hospital visits over their lifetime. Thus there is a global focus on increasing the efficiency of patient throughput in a hospital. Bed management systems are still commonly paper-based and are effectively memory-less from the hospital point of view. The hospital information systems are typically billing and ordering systems with minimal information on patient movement along the patient pathway. The literature suggests that technology and shared information allow for shared views to model and predict usage to better manage finite resources. Paper-based systems work against this. This paper presents the design considerations for a bed management application developed in conjunction with a local private hospital. The application developed, provides a hospital-wide view of patient and bed status by recording and capturing touchpoints, that is patient-hospital interactions. Furthermore, it captures data electronically such that the data can be used for analysing patient presentation and bed moving with a view to improve bed management and patient throughput.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"33 1","pages":"376-383"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81305344","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 : 2023-01-01DOI: 10.5220/0011755700003414
Linda Büker, Dennis Bussenius, Eva Schobert, Andreas Hein, S. Hellmers
{"title":"Camera-Based Tracking and Evaluation of the Performance of a Fitness Exercise","authors":"Linda Büker, Dennis Bussenius, Eva Schobert, Andreas Hein, S. Hellmers","doi":"10.5220/0011755700003414","DOIUrl":"https://doi.org/10.5220/0011755700003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"162 1","pages":"489-496"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80252628","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 : 2023-01-01DOI: 10.5220/0011745100003414
A. Dias, S. Duarte, Joaquim Alvarelhão, C. Cunha
: This study aimed to investigate how patients and professionals faced telemedicine or telehealth in Centre Region in Portugal during the Sars-Cov-2 pandemic. Mixed-methods exploratory and parallel study including data from a survey of 190 healthcare patients and seven qualitative interviews with healthcare professionals from the Centre Region of Portugal were carried out. Descriptive and multiple correspondence analysis was used for survey results evaluation while healthcare professionals' perceptions were studied using a thematic analysis approach. Although few participants (15%) experienced telemedicine before the pandemic, most (73.2%) consider the health sector prepared to provide it. The most mentioned benefits of telemedicine were the avoidance of travel, convenience, and comfort for the patient. The limitations that may exist in this modality relate to patients who do not have the necessary technological devices, the lack of adequate diagnostic tools, and limitations to the patient-doctor relationship. Younger participants (<30y) were associated with characteristics of the telemedicine operating system, like the adequacy of diagnostic tools while persons more than 50 years old were associated with the lack of preparation or predisposition of professionals to provide telemedicine.
{"title":"Perceptions on Telemedicine in Portugal During Sars-Cov-2 Pandemic: A Mixed-Methods Study","authors":"A. Dias, S. Duarte, Joaquim Alvarelhão, C. Cunha","doi":"10.5220/0011745100003414","DOIUrl":"https://doi.org/10.5220/0011745100003414","url":null,"abstract":": This study aimed to investigate how patients and professionals faced telemedicine or telehealth in Centre Region in Portugal during the Sars-Cov-2 pandemic. Mixed-methods exploratory and parallel study including data from a survey of 190 healthcare patients and seven qualitative interviews with healthcare professionals from the Centre Region of Portugal were carried out. Descriptive and multiple correspondence analysis was used for survey results evaluation while healthcare professionals' perceptions were studied using a thematic analysis approach. Although few participants (15%) experienced telemedicine before the pandemic, most (73.2%) consider the health sector prepared to provide it. The most mentioned benefits of telemedicine were the avoidance of travel, convenience, and comfort for the patient. The limitations that may exist in this modality relate to patients who do not have the necessary technological devices, the lack of adequate diagnostic tools, and limitations to the patient-doctor relationship. Younger participants (<30y) were associated with characteristics of the telemedicine operating system, like the adequacy of diagnostic tools while persons more than 50 years old were associated with the lack of preparation or predisposition of professionals to provide telemedicine.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"25 1","pages":"471-476"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78425116","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 : 2023-01-01DOI: 10.5220/0011694300003414
M. Alfano, J. Kellett, B. Lenzitti, M. Helfert
{"title":"Intelligent Provision of Tailored, Easily Understood, and Trusted Health Information for Patient Empowerment","authors":"M. Alfano, J. Kellett, B. Lenzitti, M. Helfert","doi":"10.5220/0011694300003414","DOIUrl":"https://doi.org/10.5220/0011694300003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":" 1","pages":"384-391"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91412621","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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