Sleep Disorders Screening, Smart Alarm Clock by Smart Valley Software
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Smart Valley Software has developed patent-pending new technology for sleep disorders screening and a smart alarm clock for mobile phones HappyWakeUp.
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affects sleep, circadian timing, and
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aDivision of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA 02115; bDivision of Sleep
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In the past 50 y, there has been a decline in average sleep duration
and quality, with adverse consequences on general health. A
representative survey of 1,508 American adults recently revealed
that 90% of Americans used some type of electronics at least
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evidence from countries around the world shows the negative
impact of such technology use on sleep. This negative impact on
sleep may be due to the short-wavelength–enriched light emitted
by these electronic devices, given that artificial-light exposure has
been shown experimentally to produce alerting effects, suppress
melatonin, and phase-shift the biological clock. A few reports have
shown that these devices suppress melatonin levels, but little is
known about the effects on circadian phase or the following sleep
episode, exposing a substantial gap in our knowledge of how this
increasingly popular technology affects sleep. Here we compare
the biological effects of reading an electronic book on a light-emit-
ting device (LE-eBook) with reading a printed book in the hours
before bedtime. Participants reading an LE-eBook took longer to
fall asleep and had reduced evening sleepiness, reduced melatonin
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morning alertness than when reading a printed book. These results
demonstrate that evening exposure to an LE-eBook phase-delays
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aDivision of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA 02115; bDivision of Sleep
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representative survey of 1,508 American adults recently revealed
that 90% of Americans used some type of electronics at least
a few nights per week within 1 h before bedtime. Mounting
evidence from countries around the world shows the negative
impact of such technology use on sleep. This negative impact on
sleep may be due to the short-wavelength–enriched light emitted
by these electronic devices, given that artificial-light exposure has
been shown experimentally to produce alerting effects, suppress
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shown that these devices suppress melatonin levels, but little is
known about the effects on circadian phase or the following sleep
episode, exposing a substantial gap in our knowledge of how this
increasingly popular technology affects sleep. Here we compare
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before bedtime. Participants reading an LE-eBook took longer to
fall asleep and had reduced evening sleepiness, reduced melatonin
secretion, later timing of their circadian clock, and reduced next-
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demonstrate that evening exposure to an LE-eBook phase-delays
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Cardiology as a field has seen phenomenal technological advances over the past few decades. Existing tools however require sensors and/or electrodes on the human body to capture physiological signals. In this talk, I will show how we can use smartphones and smart speakers to contactlessly monitor human physiological signals from a distance. I will first demonstrate how we can continuously track motion and minute breathing signals by transforming these mobile devices into contactless sensors that can monitor sleep quality and detect sleep apnea. I will then show how we can use smart speakers (e.g., Alexa) to contactlessly monitor individual heart beats and detect irregular heart rhythm, without the need for any on-body sensors or electrodes. Finally, I will present our work on using machine learning on smart speakers to detect agonal breathing, an audible biomarker and brainstem reflex that arises in the setting of severe hypoxia, which is an under-appreciated diagnostic element of cardiac arrest.
Brain Finger-Printing
Most efficient slides on Brain Fingerprinting are listed here.
This is a technology which is most useful for forensic science.
A seminar based presentation is listed here
For any more details contact me-
0091-8943307844
or
nibelmd@gmail.com
CV_Marta Hamity PhD
This curriculum vitae summarizes the educational and professional experience of Marta V. Hamity, Ph.D. She received bachelor's and doctoral degrees in psychology from Universidad Nacional de Cordoba in Argentina. Her current position is Assistant Research Scientist at the University of Iowa where she conducts research on novel treatments for peripheral neuropathies. She has over 15 years of experience in pain research and has authored several peer-reviewed publications and conference presentations.
L'importanza del sonno
The document discusses the importance of sleep for college students. It covers the functions of different sleep stages, common sleep issues among college students, and the consequences of poor sleep including effects on mental health, academic performance, and physical health. The document also provides tips for improving sleep quality through developing good sleep hygiene habits and managing biological rhythms.
Computer Aided Detection of Obstructive Sleep Apnea from EEG Signals
This document summarizes a study that developed a computer-aided system to detect obstructive sleep apnea from EEG signals. Features were extracted from the time, wavelet, and frequency domains of EEG signals and used as inputs to support vector machine and K-nearest neighbor classifiers. The KNN classifier with a K value of 3 performed best with a sensitivity of 85.92%, specificity of 80%, and accuracy of 82.69% in classifying apnea and non-apnea events. Previous related studies that used features from other physiological signals like ECG, SpO2, and EEG and different machine learning models were also summarized.
Computer Aided Detection of Obstructive Sleep Apnea from EEG Signals
Sleep Apnea is an anomaly in sleeping characterized by short pause in breathing. Failure to treat sleep
apnea leads to fatal complications in both psychological and physiological being of human.
Electroencephalogram (EEG) performs an important task in probing for sleep apnea through identifying
and recording the brain’s activities while sleeping. In this study, computer aided detection of sleep apnea
from EEG signals is developed to optimize and increase the prompt recognition and diagnosis of sleep
apnea in patients. The time domain, wavelets, and frequency domain of the EEG signals were computed,
and features were extracted from these domains. These features are inputted into two machine learning
algorithms: Support Vector Machine and K-Nearest Neighbors of different kernel functions and orders.
Evaluation metrics such as specificity, accuracy, and sensitivity are computed and analyzed for the
classifiers. The KNN classifier outperforms the SVM in classifying apnea from non-apnea events in
patients. The KNN order 3 shows the highest performance sensitivity of 85.92%, specificity of 80% and
accuracy of 82.69%.
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【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可
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三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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- 1. World’s first health promoting applications based on standard mobile phone technology : 1. SLEEP DISORDER DIAGNOSTICS : SleepStick® 2. SMART ALARM CLOCK : HappyWakeUp® More details: www.happywakeup.com Patents pending 2006-2008 ©SmartValley Software Oy, Finland SMART VALLEY SOFTWARE Ltd RECORDING OF MOVEMENTS DURING SLEEP
- 7. SmartValley - Devices for sleep recording: Nokia Mobile Phone and MP3 recorder / player
- 9. REAL PATIENT DATA - Restless legs syndrome Upper graph: 60 minutes of leg movements (SleepStick MP3) Simultaneous control EMG recording Note: the sensitivity is excellent!
- 11. HappyWakeUp – a Smart Alarm Clock for Nokia mobile phone by Smart Valley Software Available: www.happywakeup.com
- 12. From medical sleep research we know that sleep is fragmented during last minutes of the sleep .
- 14. HappyWakeUp monitors your sleep using the microphone of the Nokia mobile phone. It listens to your sleep and movements. It detects if you are awake or almost-awake in the morning during the 20 last minutes and gives you a mild alarm signal! HappyWakeUp is extremely easy to be used: Set the regular Nokia wake up time and start HappyWakeUp!
- 15. Locate Nokia Mobile phone near to you and enjoy the night sleep! In the morning you get a natural and refreshed awakening and extra active minutes because your brain is already awake. No harmful stress!
- 16. SmartValley vision: Our reseach based monitoring technology is used to monitor and diagnose the very common sleep disorders (snoring, sleep apnea, restless legs, insomnia) using Nokia mobile phone. The new technology will promote people’s health in all countries, especially in developing countries without resources in sleep medicine. HappyWakeUp is a smart alarm clock for everybody using alarm clock - to make your every morning happy!