This document outlines a project on photonic remote and continuous biomedical diagnostics. It describes using laser light projection and imaging to remotely "hear" human speech, heartbeats, and other sounds from a distance without physical contact. The system can work through glass, in noisy environments, and can separate multiple sound sources. It then demonstrates applications for remotely monitoring breathing, heart rate, blood glucose and other biometrics, as well as detecting conditions like malaria and alcohol levels.
This document describes remote biomedical monitoring techniques using light. It discusses using light to "hear" sounds from a distance by analyzing reflected light patterns. The techniques allow continuous remote monitoring of various vital signs like breathing, heart rate, blood pressure, glucose levels, and more. Clinical trials were conducted to test monitoring breathing, heartbeats, blood pressure, and glucose levels. The methods could allow continuous remote monitoring without contact for situations like patients under quarantine.
The document discusses color perception and different theories about color opposites. It notes that historically, theories have differed on whether the opposite of green is red or yellow, and the opposite of purple is yellow or blue. Modern psychological color order systems generally agree that the opposite of green is red and the opposite of purple is a yellow-green. The document also examines how color opposites are represented mathematically in different color models.
Brad Hargreaves of General Assembly for Knowledge Stream spasibokep
General Assembly provides skills-based education in technology, business, and design through immersive courses. It has trained over 51,000 students through both full-time and evening programs across 8 campus locations. General Assembly works closely with employers to develop curriculum based on market needs and ensures graduates have relevant skills and access to job opportunities. The document provides examples of successful career outcomes for graduates of General Assembly's 12-week Web Development Immersive course and details its collaborative process for developing the Business Fundamentals and Tactics course with McKinsey.
This document provides an overview of compressed sensing. It discusses how traditional sampling methods like the Shannon-Nyquist sampling theorem require sampling at twice the bandwidth of a signal. Compressed sensing allows for sub-Nyquist sampling by taking linear measurements of sparse signals in a basis like wavelets. These linear measurements can be used to reconstruct the original signal using computational techniques that exploit the signal's sparsity. Compressed sensing provides a new framework for signal acquisition that reduces sampling requirements.
Why we don’t know how many colors there areJan Morovic
There is no definitive answer to how many colors exist because the concept of color depends on factors like the illumination, viewing conditions, and human perception. Computational models can predict color gamuts under different scenarios, but the largest gamut volume estimated is around 6.6 million colors using real measured light sources, which still may not capture all possible colors perceivable by humans. Determining all possible colors ultimately requires a color appearance model that more closely mimics the complexities of human vision.
Analyzing Probabilistic Models in Hierarchical BOA on Traps and Spin GlassesMartin Pelikan
The hierarchical Bayesian optimization algorithm (hBOA) can solve nearly decomposable and hierarchical problems of bounded difficulty in a robust and scalable manner by building and sampling probabilistic models of promising solutions. This paper analyzes probabilistic models in hBOA on two common test problems: concatenated traps and 2D Ising spin glasses with periodic boundary conditions. We argue that although Bayesian networks with local structures can encode complex probability distributions, analyzing these models in hBOA is relatively straightforward and the results of such analyses may provide practitioners with useful information about their problems. The results show that the probabilistic models in hBOA closely correspond to the structure of the underlying optimization problem, the models do not change significantly in subsequent iterations of BOA, and creating adequate probabilistic models by hand is not straightforward even with complete knowledge of the optimization problem.
Corey Bradshaw_Assessing bias in extinction predictions from species-area rel...TERN Australia
This document discusses bias that can occur when using species-area relationships to predict extinction rates from habitat loss. It notes that species are often not distributed randomly across the landscape and are instead aggregated in certain areas. When this aggregated distribution is not accounted for, extinction predictions from species-area models tend to underestimate the true extinction risk. The document presents simulations and examples from real species data to demonstrate how accounting for aggregated distributions results in higher predicted extinction rates compared to assuming random distributions. It concludes that accounting for natural aggregation is important for generating accurate extinction predictions.
This document describes remote biomedical monitoring techniques using light. It discusses using light to "hear" sounds from a distance by analyzing reflected light patterns. The techniques allow continuous remote monitoring of various vital signs like breathing, heart rate, blood pressure, glucose levels, and more. Clinical trials were conducted to test monitoring breathing, heartbeats, blood pressure, and glucose levels. The methods could allow continuous remote monitoring without contact for situations like patients under quarantine.
The document discusses color perception and different theories about color opposites. It notes that historically, theories have differed on whether the opposite of green is red or yellow, and the opposite of purple is yellow or blue. Modern psychological color order systems generally agree that the opposite of green is red and the opposite of purple is a yellow-green. The document also examines how color opposites are represented mathematically in different color models.
Brad Hargreaves of General Assembly for Knowledge Stream spasibokep
General Assembly provides skills-based education in technology, business, and design through immersive courses. It has trained over 51,000 students through both full-time and evening programs across 8 campus locations. General Assembly works closely with employers to develop curriculum based on market needs and ensures graduates have relevant skills and access to job opportunities. The document provides examples of successful career outcomes for graduates of General Assembly's 12-week Web Development Immersive course and details its collaborative process for developing the Business Fundamentals and Tactics course with McKinsey.
This document provides an overview of compressed sensing. It discusses how traditional sampling methods like the Shannon-Nyquist sampling theorem require sampling at twice the bandwidth of a signal. Compressed sensing allows for sub-Nyquist sampling by taking linear measurements of sparse signals in a basis like wavelets. These linear measurements can be used to reconstruct the original signal using computational techniques that exploit the signal's sparsity. Compressed sensing provides a new framework for signal acquisition that reduces sampling requirements.
Why we don’t know how many colors there areJan Morovic
There is no definitive answer to how many colors exist because the concept of color depends on factors like the illumination, viewing conditions, and human perception. Computational models can predict color gamuts under different scenarios, but the largest gamut volume estimated is around 6.6 million colors using real measured light sources, which still may not capture all possible colors perceivable by humans. Determining all possible colors ultimately requires a color appearance model that more closely mimics the complexities of human vision.
Analyzing Probabilistic Models in Hierarchical BOA on Traps and Spin GlassesMartin Pelikan
The hierarchical Bayesian optimization algorithm (hBOA) can solve nearly decomposable and hierarchical problems of bounded difficulty in a robust and scalable manner by building and sampling probabilistic models of promising solutions. This paper analyzes probabilistic models in hBOA on two common test problems: concatenated traps and 2D Ising spin glasses with periodic boundary conditions. We argue that although Bayesian networks with local structures can encode complex probability distributions, analyzing these models in hBOA is relatively straightforward and the results of such analyses may provide practitioners with useful information about their problems. The results show that the probabilistic models in hBOA closely correspond to the structure of the underlying optimization problem, the models do not change significantly in subsequent iterations of BOA, and creating adequate probabilistic models by hand is not straightforward even with complete knowledge of the optimization problem.
Corey Bradshaw_Assessing bias in extinction predictions from species-area rel...TERN Australia
This document discusses bias that can occur when using species-area relationships to predict extinction rates from habitat loss. It notes that species are often not distributed randomly across the landscape and are instead aggregated in certain areas. When this aggregated distribution is not accounted for, extinction predictions from species-area models tend to underestimate the true extinction risk. The document presents simulations and examples from real species data to demonstrate how accounting for aggregated distributions results in higher predicted extinction rates compared to assuming random distributions. It concludes that accounting for natural aggregation is important for generating accurate extinction predictions.
Профессор Слоуновской школы менеджмента при MIT Нил Хартман рассказал в Digital October, какие ошибки случаются, если вы строите компанию с представителями различных культур или пытаетесь перенести глобальные практики бизнеса на чужеродную почву, и как их избежать.
http://digitaloctober.ru/ru/events/knowledge_stream_1000_i_1_kultura_predprinimatelstva
29 ноября сооснователь некоммерческого научно-образовательного проекта для детей, имеющего уже сотни «клонов» в одной лишь Польше, показала в центре Digital October, какой интересной может быть система дополнительного школьного образования, и рассказала, как «Университет детей» в Москву пришел.
http://digitaloctober.ru/ru/events/knowledge_stream_umno_ne_po_detski
Сегодня он успешно совмещает карьеру ученого, преподавателя, финансового консультанта и управляет инвестициями друзей и знакомых на фондовой бирже, используя технологию мониторинга новых медиа, собирающую и анализирующую настроения тысяч мелких и крупных экономических агентов. 27 ноября он рассказал об этом в центре Digital October.
http://digitaloctober.ru/ru/events/knowledge_stream_finansovyy_geniy
15 ноября центр Digital October провел телемост с Джули Дирксен, исследователем и автором современных подходов к обучению, дающих результат.
http://digitaloctober.ru/ru/events/knowledge_stream_kak_uchitsya_vzroslomu
7 ноября куратор международного развития Coursera Инь Лу расскажет в центре Digital October, зачем ведущий провайдер знаний онлайн открывает образовательные лаборатории по всему свету, в том числе и в Москве.
http://digitaloctober.ru/ru/events/knowledge_stream_govorit_coursera
31 октября самый цитируемый ученый русского происхождения, известный эволюционный биолог Евгений Кунин рассказал в Digital October о постмодернистском взгляде на эволюционные процессы.
http://digitaloctober.ru/ru/events/knowledge_stream_evolyutsiya_po_sluchayu
Эволюционирует ли наш разум с распространением знаний и технологий? 19 сентября эксперт в области когнитивистики, профессор университетов Квебека и Саутгемптона Стивен Харнад ответил на этот вопрос в центре Digital October.
http://digitaloctober.ru/ru/events/knowledge_stream_kognitivnoe_neveroyatnoe
10 июня в центре Digital October состоялась лекция эксперта в области больших данных Бьярна Берга.
http://digitaloctober.ru/events/knowledge_stream_informatsiya_dlya_biznesa
Geoff Cook & Martin Bravo for Knowledge Streamspasibokep
This document discusses how brands can be thought of as people, with identities, personalities, and experiences. It provides examples of strong and challenged brands like Gilt and Fab, examining their identities, personalities, experiences, and results. Other case studies look at how brands like Warby Parker, Johnson & Johnson, and brand extensions engage customers. The document argues that successful future companies will focus on building strong identities, personalities, and experiences for their brands, just as people do.
Отчет и видеозапись выступления Кевина Вербаха на Knowledge Stream в Digital October 9 апреля - http://digitaloctober.ru/events/knowledge_stream_biznes_poigraem
«Технологии удалённого общения неизбежно возьмут своё в будущем. А те, кто освоит их раньше, получат больше шансов на успех», – уверен Максим Павловец, ведущий блога о бизнес-возможностях платформ для удаленного общения Webinarism.ru, ставший недавно обладателем гранта от программы «Менеджмент в сфере интернет-технологий». Подробнее - http://www.rma.ru/internet/news/8374/
Опыт Yahoo! по выходу из кризиса - презентация Марвина Ляо для RMAspasibokep
Yahoo намерен стать ведущим контент-провайдером, а также учится на примере противостояния MacOS/iOS и Android. Компании интересны стартапы, и она по-прежнему – как и другие лидеры мирового рынка – рассчитывает на успех в России. Об этом на открытой лекции, организованной факультетом «Менеджмент в сфере интернет-технологий», рассказал коммерческий Yahoo Марвин Ляо, отвечающий за работу интернет-гиганта на развивающихся рынках Европы, Ближнего Востока и Африки.
25 мая факультет «Менеджмент в сфере интернет-технологий» организует лекцию Марвина Ляо, коммерческого директора подразделения EMEA в Yahoo Global. Регистрация здесь http://www.rma.ru/yahoo_rma.php
В ходе встречи Марвин расскажет о международном опыте компании, том, как за последние 2-3 года поменялась ее стратегия работы на конкурентных рынках, а также ответит на вопросы аудитории.
Место проведения: технопарк DigitalOctober, Берсеневская набережная, 6/3. Начало в 19.00.
Презентация российских сервисов Yahoo! (2011-й). Предоставлено официальным лицом Yahoo! в России Денисом Адамовичем специально для факультета "Менеджмент в сфере интернет-технологий".
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Профессор Слоуновской школы менеджмента при MIT Нил Хартман рассказал в Digital October, какие ошибки случаются, если вы строите компанию с представителями различных культур или пытаетесь перенести глобальные практики бизнеса на чужеродную почву, и как их избежать.
http://digitaloctober.ru/ru/events/knowledge_stream_1000_i_1_kultura_predprinimatelstva
29 ноября сооснователь некоммерческого научно-образовательного проекта для детей, имеющего уже сотни «клонов» в одной лишь Польше, показала в центре Digital October, какой интересной может быть система дополнительного школьного образования, и рассказала, как «Университет детей» в Москву пришел.
http://digitaloctober.ru/ru/events/knowledge_stream_umno_ne_po_detski
Сегодня он успешно совмещает карьеру ученого, преподавателя, финансового консультанта и управляет инвестициями друзей и знакомых на фондовой бирже, используя технологию мониторинга новых медиа, собирающую и анализирующую настроения тысяч мелких и крупных экономических агентов. 27 ноября он рассказал об этом в центре Digital October.
http://digitaloctober.ru/ru/events/knowledge_stream_finansovyy_geniy
15 ноября центр Digital October провел телемост с Джули Дирксен, исследователем и автором современных подходов к обучению, дающих результат.
http://digitaloctober.ru/ru/events/knowledge_stream_kak_uchitsya_vzroslomu
7 ноября куратор международного развития Coursera Инь Лу расскажет в центре Digital October, зачем ведущий провайдер знаний онлайн открывает образовательные лаборатории по всему свету, в том числе и в Москве.
http://digitaloctober.ru/ru/events/knowledge_stream_govorit_coursera
31 октября самый цитируемый ученый русского происхождения, известный эволюционный биолог Евгений Кунин рассказал в Digital October о постмодернистском взгляде на эволюционные процессы.
http://digitaloctober.ru/ru/events/knowledge_stream_evolyutsiya_po_sluchayu
Эволюционирует ли наш разум с распространением знаний и технологий? 19 сентября эксперт в области когнитивистики, профессор университетов Квебека и Саутгемптона Стивен Харнад ответил на этот вопрос в центре Digital October.
http://digitaloctober.ru/ru/events/knowledge_stream_kognitivnoe_neveroyatnoe
10 июня в центре Digital October состоялась лекция эксперта в области больших данных Бьярна Берга.
http://digitaloctober.ru/events/knowledge_stream_informatsiya_dlya_biznesa
Geoff Cook & Martin Bravo for Knowledge Streamspasibokep
This document discusses how brands can be thought of as people, with identities, personalities, and experiences. It provides examples of strong and challenged brands like Gilt and Fab, examining their identities, personalities, experiences, and results. Other case studies look at how brands like Warby Parker, Johnson & Johnson, and brand extensions engage customers. The document argues that successful future companies will focus on building strong identities, personalities, and experiences for their brands, just as people do.
Отчет и видеозапись выступления Кевина Вербаха на Knowledge Stream в Digital October 9 апреля - http://digitaloctober.ru/events/knowledge_stream_biznes_poigraem
«Технологии удалённого общения неизбежно возьмут своё в будущем. А те, кто освоит их раньше, получат больше шансов на успех», – уверен Максим Павловец, ведущий блога о бизнес-возможностях платформ для удаленного общения Webinarism.ru, ставший недавно обладателем гранта от программы «Менеджмент в сфере интернет-технологий». Подробнее - http://www.rma.ru/internet/news/8374/
Опыт Yahoo! по выходу из кризиса - презентация Марвина Ляо для RMAspasibokep
Yahoo намерен стать ведущим контент-провайдером, а также учится на примере противостояния MacOS/iOS и Android. Компании интересны стартапы, и она по-прежнему – как и другие лидеры мирового рынка – рассчитывает на успех в России. Об этом на открытой лекции, организованной факультетом «Менеджмент в сфере интернет-технологий», рассказал коммерческий Yahoo Марвин Ляо, отвечающий за работу интернет-гиганта на развивающихся рынках Европы, Ближнего Востока и Африки.
25 мая факультет «Менеджмент в сфере интернет-технологий» организует лекцию Марвина Ляо, коммерческого директора подразделения EMEA в Yahoo Global. Регистрация здесь http://www.rma.ru/yahoo_rma.php
В ходе встречи Марвин расскажет о международном опыте компании, том, как за последние 2-3 года поменялась ее стратегия работы на конкурентных рынках, а также ответит на вопросы аудитории.
Место проведения: технопарк DigitalOctober, Берсеневская набережная, 6/3. Начало в 19.00.
Презентация российских сервисов Yahoo! (2011-й). Предоставлено официальным лицом Yahoo! в России Денисом Адамовичем специально для факультета "Менеджмент в сфере интернет-технологий".
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
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Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Zeev Zalevsky for Knowledge Stream
1. Photonic Remote and Continuous
Biomedical Diagnostics
Zeev Zalevsky1,2
1Faculty of Engineering, Bar-Ilan University, Israel
2SAOT, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany
1
2. Main collaborators:
Yevgeny Beiderman1
Javier Garcia2
Vicente Mico2
Israel Margelith1
Asaf Shahmoon1
Alexander Douplik3
Dan Cojoc4
1Faculty of Engineering, Bar-Ilan University, Israel
2Departamento de Óptica, Universitat de València, Spain
3Ryerson University, Toronto, Canada
4Trieste, Italy
2
3. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
3
4. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
4
5. Opto-Phone: Hearing with Light
Imaging
module
Camera
Sensor
Invisible L
aser Laser
projection
Any visible distance
5
6. Opto-Phone: Hearing with Light
Hearing with Light: Features
•The ultimate voice recognition system compatible to
“hear” human speech from any point of view (even from
behind).
•There is no restriction on the position of the system in
regards to the position of the sound source.
•Capable of hearing heart beats and knowing physical
conditions without physical contact for measuring.
6
7. Opto-Phone: Hearing with Light
Features- cont.
•Works clearly in noisy surroundings and even through
vacuum.
•Allows separation between plurality of speakers and sounds
sources.
•Works through glass window.
•Simple and robust system (does not include interferometer
in the detection phase).
7
8. Let’s listen…from 80m
Cell phone Back part of neck
Counting…1,2,3,4,5,6
Counting…5,6,7
X - movement
1
0.5
0
-0.5
Face (profile)
-1
120 140 160 180 200 220 240 260 280 300 320
Heart beat pulse
Counting…5,6
taken from a throat
All recordings were done in a very noisy constriction site at distance of more
than 80m.
8
9. Results: Detection of
occluded objects I
(a). (b). (c).
(a). Camouflaged object. (b). Camouflage without the object. (c). The object (upper left part) and the low
resolution camouflaged scenery.
Spectrogram Spectrogram Spectrogram
0 0 0
2000 900
50 50 50
1800 12
800
100 100 100
1600
700 10
150 150 150
Frequency [Hz]
1400
Frequency [Hz]
Frequency [Hz]
600 200
200 200
1200 8
250 250 500 250
1000
6
300 300 400 300
800
350 350 300 350
600 4
400 400 400 200 400
2
450 200 450 100 450
500 500 500
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7
(d). Time [sec] (e). Time [sec] (f). Time [sec]
(d). The spectrogram of the camouflaged object with its engine turned on. (e). The spectrogram
of the object with its engine turned on and without the camouflage. (f). The spectrogram of the
camouflaged object without turning on its engine.
9
10. Results: Detection of
occluded objects II
Y - pos
10
(a). 5
(b).
0
-5
Y - pos
-10
10
-15
5
0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000
Sample
0
-5
-10
-15
0 1 2 3 4 5 6 7 [sec]
-20
0 1000 2000 3000 4000 5000 6000
(a). The scenario of the experiment. (b). Experimental results: upper recording is of the
Sample
camouflaged subject. Lower recording is the same subject without the camouflage.
10
11. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
11
12. Technological Description
•Unique technological platform allows remote and
continuous wearable monitoring of many
biomedical parameters simultaneously.
•It is based upon inspection of secondary speckle
pattern back reflected from skin near main blood
artery, after properly adjusting the imaging optics.
•The biomedical monitoring capabilities include:
heart beats, breathing, blood pulse pressure,
glucose concentration, alcohol level, IOP, blood
coagulation (INR), oximetry, ICP etc.
•Unique patented IP and know how.
•Part of the applications have already been
commercialized.
12
13. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
13
14. Measuring of breathing from rat’s
cornea reflections
(Abs) Spectrum
2
1.8
Detected rat’s breathing beating at
X: -1.872
1.6 Y: 1.808
Noise level
frequency around 1.87Hz.
1.4
Amplitude
1.2
1
0.8
0.6
0.4
0.2
0
-15 -10 -5 0 5 10 15
Reflected speckle pattern.
Frequency [Hz] 14
15. Measuring of heart beating from
human’s cornea reflections
(Abs) Spectrum (Abs) Spectrum (Abs) Spectrum
35 25 12
X: 1.502 X: 3.078
X: 1.522 Y: 11.68
30 Y: 33.65
Y: 19.96
10
20
25
8
Amplitude
Amplitude
Amplitude
15
20 Noise level
6
15 Noise level 10
4
10
5
2
5
0 0 0
-20 -15 -10 -5 0 5 10 15 20 -20 -15 -10 -5 0 5 10 15 20 -20 -15 -10 -5 0 5 10 15 20
Frequency [Hz] Frequency [Hz] Frequency [Hz]
Subject #1 (measurement taken while Subject #2 (measurement taken while Reference noise level (detected
subject was holding his breath) subject was holding his breath) reflection from a wall)
Detected heart beating of humans at frequency of around 1.5Hz.
10
20
30
40
50
Reflected speckles pattern.
60
10 20 30 40 50 60 15
16. Measuring breathing of pigs
The swine's
location
25
Breath Breath measured
20 The non-visible
Breaths per minute
40 m
laser system
15
10
5
Laser beam
0
1 2 3 4 5 6 7 8 9
Experiment
Statistical breathing experiment
16
17. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
17
18. Remote heart beats monitoring
The implemented optical configuration for
remote measuring of heart beats and blood
pulse pressure from subject’s hand
Laser
Camera
50 cm
Hand
3
2
Temporal plot of the outcome from the
2.5
0
system used in the clinical trials for two
2
different participants.
Amplitude [pix]
Amplitude [pix]
1.5 -2
1 -4
0.5
-6
0
-8
-0.5
-10
-1
0 1 2 3 4 0 1 2 3 4
Time [sec] Time [sec]
18
19. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
19
20. Glucose level monitoring
Temporal plot of the outcome from the system used in the clinical tests with the graphical description of the observed
parameters.
20
21. Glucose level monitoring
40 210
35 190
Amplitude [samp];
Glucose[ml/dl/10]
Glucose [mg/dl]
30 170
25 150
20 Glucose /10 130
,
15 Param.6 110
10 90
5 70
0 50
0 5 10 15 20 25 30 0 5 10 15 20 25 30
Time [min] time [minutes]
Stability of the system: constant glucose level in blood (denoted Data of subject #1: Glucose level in blood and amplitude
by blue line with triangles) and the estimated parameter 6 of positive peak (parameter #1). Glucose level is denoted
(denoted by magenta line with rectangles). Glucose level is by blue line with triangles and the optically measured
given in units of 0.1[ml/dl] (representing a constant level of 100 parameter is denoted by magenta line with rectangles.
[ml/dl), while the estimated optical values are given in pixels.
21
22. Glucose level monitoring
210 210
190 190
Glucose [mg/dL]
Glucose [mg/dl]
170 170
150 150
130 130
,
110 110
90 90
70 70
50 50
0 10 20 30 40 0 5 10 15 20 25
time [minutes] time [minutes]
2230
Data of subject #3: Glucose level in blood and amplitude of positive peak Data of subject #1: Glucose level in blood and
(parameter #1). Glucose level is denoted by blue line with triangles and the amplitude of positive peak (parameter #1). Glucose
optically measured parameter is denoted by magenta line with rectangles. level is denoted by blue line with triangles and the
optically measured parameter is denoted by magenta
190 line with rectangles.
170
Glucose [mg/dl]
150
130
110
90 Data of subject #4: Glucose level in blood and amplitude of
70 positive peak (parameter #1). Glucose level is denoted by blue
50 line with triangles and the optically measured parameter is
0 5 10 15 20 25 30 denoted by magenta line with rectangles.
time [minutes]
22
23. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
23
24. Blood pulse pressure measurement
M , Corr(M , ) = 0.99507
140
Systolic
Diastolic
= S-D
120
Amplitude [mmHg]
100
80
60
40
20
-50 0 50 100 150 200 250 300 350 400
Time [sec]
An example of the obtained remote blood pulse pressure measurement using the proposed device for one subject
participating in the clinical test group. The reference pulse pressure is shown by the green curve (denoted as ) was
obtained using manual sleeve based reference measurement device. The blue curve (denoted as M) is the measurement
obtained using the proposed optical technique. The time duration of the measurement was 350sec. The sampling of the
camera was performed at 300Hz. One may see that strong correlation exists between the green (reference) curve and the
blue curve obtained by the developed approach.
24
25. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
25
26. Remote IOP monitoring
The proposed experimental configuration for
remote continuous monitoring of the IOP.
Changing IOP via applying mechanical pressure
on the sclera.
Changing IOP via modifying the height of an
infusion bug.
26
27. Remote IOP monitoring
Data amp: 8.017 10.7025 11.2649 11.6035 9.3484 7.2619 7.2177 6.4588
40
Data amplitude: 9
30
8.02 10.7 11.27 11.6 9.35 7.26 7.22 6.46 8
20 7 6.872 With infusion bag
a mp/pressure (mmHg)
9 6 With
1501 applied pressure
Amplitude [pix]
10
Amplitude
8
7 6.8725
6
0 4
Amplitude
5 3.5404
4 3 3.5404 2.9932
-10 3 2.9932
6
Data amp: 7.3465
2 2 2.145 1.76402
2.145 1.76402
1
-20
4
0 1
Amplitude [pix]
2
0
0 0
20 40 60 80
-30 Pressure (mm/Hg)
-2
0 20 40 60 80
-40
-4
Pressure (mm/Hg)
-6
0 500 1000 1500
Sample
-50
0 1000 2000 3000 4000 5000 6000
Sample Experimentally extracted readout compared to
absolute reference IOP measurement obtained
Experimentally extracted readout with Goldmann tonometer.
obtained when changing the height of
the infusion bag every 500 samples.
27
28. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
28
29. Detection of malaria
An example of one out of the 20 relevant inspected parameters. Left: Healthy RBC. Right: Infected RBC.
29
30. Detection of malaria
Separation between infected and
healthy cells. Plotting the length of
the vectors versus cells’ index.
30
31. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
31
32. Remote alcohol level monitoring
Camera (a). (b).
Green laser
(a). The side (left) and top (right) view of the experimental setup. (b). Typical temporal beating signals extracted
using the proposed remote optical sensing device, before (left) and after (right) the effect of alcohol obtained
over the same subject.
32
33. Remote alcohol level monitoring
Definition of the Ratio wid (through the ratio between the main STD of background noises: long duration test with
and the secondary negative peak’s temporal positions), Main error bars representing the std values of the
sec peak ratio (through the ratio between the main negative measured data.
peak amplitude and the secondary positive peak’s amplitude),
and Standard deviation of background noise (STD) parameters.
33
34. Remote alcohol level monitoring
(a). (b). Summary:
Positive pulse size [msec]
Pulse size [msec]
(a). Pulse size, (b). Positive pulse
size, (c). Peakdis, (d). Ratio_wid,
(e). Main_sec_peak ratio, (f). Std
of background noises.
Time [min] Time [min]
(c). (d).
Peakdis [msec]
Ratio wid
Time [min] Time [min]
(e). (f).
Main sec peak ratio
Std [msec]
Time [min] Time [min]
34
35. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
35
37. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
37
38. Multi-Functional Probe
The edge of the fabricated micro
probe having approximately 5,000
cores while each one of them is
being used as light transmitting
channel (each core is a single
pixel in the formed image). In this
image each core transmits red
channel of light at wavelength of
632nm.
50m
Laser (632nm) Beam Expander Mirror Laser Controller Camera
Input plane Output plane
Multi core probe F Image
Object
Sample
Location
U1 U2 V
Beam Splitter
Probe Location
1 1 1
Objective Lens
U1 U 2 V F
38
39. Multi-Functional Probe- experiments
Experimental results of images transmitted backwards by the proposed micro probe. The scanned objects are as follows;
From left to right: black vertical lines, black rectangles, horizontal black lines, black lines and black rectangle appearing
in the left side of the backwards transmitted image.
5m
2m
Experimental results of images with Fe beads having diameter of 1m imaged
through an agar solution.
39
40. Phantom fabrication
(a) (b) (c)
(a) Fabricated phantom. (b) shows a 3D view sketch of the phantom having two drilled channels with diameter of
400µm each. One longitudinal channel (along the x axis) while another angled channel was made making both
channel crossed inside the phantom. The openings indicated as “in” and “out” enable the connection of microfluidic
system. (c) shows a cross-sectional schematic view of the fabricated phantom.
40
41. Experimental results with phantom
Experimental results of Fe micro
particles imaged inside a drilled
phantom
Imaging of a manipulated micro wire (indicated by
the solid arrows) inside an hemoglobin mixture.
(a) Top view microscope image of the resolution target. (b) imaging
Imaging of fluorescence protein. HEK 293 cells transfected of the resolution target using the microendoscope device. Inset.
with pEGFP-N3. Left: Top view microscope image. Right: Zoom image of the encompass area. Scales bar of (a) and (b) are 10
Imaging using the microendoscope device. Scales bar of µm and 20 µm, respectively.
left and right image are 50 and 20 µm, respectively.
41
42. Experimental results with phantom
Monitoring Hemoglobin Concentration
1
0,9
0,8
Normalized mean value
0,7
0,6
0,5
0,4
0,3
0,2
0,1
0
Reference Saline 16.25 [gr/L] 32.5 [gr/L] 65 [gr/L] 130 [gr/L]
Type of solution
Monitoring different hemoglobin concentrations inside the phantom.
42
43. In-vivo experimental results
Imaging along a blood vein
of a chicken wing. The solid
arrows indicate the blood
vein, while the dashed arrows
as well as the labeling letter
indicate the cascading point
between the images for
constructing an image with a
larger field of view
43
46. Outline
•“Hearing” with light – Introduction
•Biomedical monitoring:
•Introduction
•Measuring of breathing
•Heart beats monitoring
•Glucose level monitoring
•Blood pulse pressure monitoring
•IOP monitoring
•Malaria detection
•Alcohol detection
•Oximetry and coagulation of blood
•Micro endoscope
•Conclusions
46
47. Conclusions:
• A new technology for accurate remote and continuous sensing of
movements was developed.
• The technique is based upon processing of back reflected secondary
speckles statistics.
• We demonstrated remote estimation of breathing, heart beating, blood
pulse pressure, alcohol and glucose concentration in the blood stream,
intra-ocular pressure measurement, oximetry, coagulation of blood etc.
• To extract precise absolute value for the measured biomedical
parameters periodic personalized calibration is needed every 2-3 years.
• Ultra thin and multi-functional micro endoscope for minimally invasive
medical treatment and diagnostics was presented
47