Blood Pressure Estimation Using a Single PPG Signal

TaheriNejad, Nima; Rahmati, Yasaman

doi:10.1007/978-3-030-76066-3_1

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…In a further attempt to reduce the number and cost of necessary sensors for measuring EWS and enabling a continuous monitoring of this parameter, we proposed [7]. In [7], we showed that using the same smartwatch as before, the blood pressure can be estimated using a single Photoplethysmogram (PPG) signal from the smart watch. The simple initial algorithm that we have proposed has an acceptable accuracy of around 10%, which is an acceptable error range for EWS.…”

Section: Daily Care and Pandemicsmentioning

confidence: 99%

Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact

2022

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Mobile health technology is a rapidly growing field with numerous promises to make substantial impact in our lives. To open this special issue, which brings to you many exciting research results in mobile health technology, we discuss two important aspects of this technology. One is how they can be integrated in our daily lives as important care devices, especially during periods such as the more and more frequent pandemics around the world. Having discussed their advantages, we calculate their estimated footprint in the energy consumption and dioxide carbon they produce globally. With that we raise awareness and invite researchers to work on reducing their energy consumption to ensure that they maintain a low footprint even if their numbers explodes in the near future. We finish this article with a brief teaser of the papers published in this special issue and wish you a good read. KeywordsMobile health technology • Wearables • Footprint • Energy consumption • Pandemics • Early warning score IntroductionRecent advances in the mobile technology, and particularly wearable healthcare devices, have led to unprecedented access to physiological data. Mobile health technologies are used in many applications, such as well-being and sport activities [1-3], physical health [4-8], and mental health [8][9][10][11]. These advanced devices provide access to a vast amount of data, which can revolutionize our understanding of human health and the healthcare system.

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Section: Daily Care and Pandemicsmentioning

confidence: 99%

Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact

2022

Self Cite

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“…Recent advances in the electronics domain, and particularly wearable devices, have led to unprecedented access to physiological data. Wearable devices are used in many applications, such as well-being and sport activities [5][6][7], physical health [8][9][10][11][12][13][14], and mental health [5,7,15,16]. These advanced devices provide access to a vast amount of data, which can be processed to improve the efficiency of therapy.…”

Section: Introductionmentioning

confidence: 99%

On the Treatment and Diagnosis of Attention Deficit Hyperactivity Disorder with EEG Assistance

Freismuth

TaheriNejad

2022

Electronics

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Attention deficit hyperactivity disorder (ADHD) is a mental disorder most notable in children. The disease may affect the ability to focus and cause a physical and mental restlessness and risky behavior. Recommended treatment consists of stimulant administration and behavioral therapy. However, medicating children is problematic since there are indications that brain development is affected by ADHD medication agents. Therefore, behavioral therapy is the preferred approach in ADHD treatment for children. In order to monitor and optimize the success of such behavioral therapies, neuro-feedback methods can be used. The most notable technology used in such methods is Electroencephalography (EEG). In this article, an overview of the pathology of ADHD, EEG and its usage as a diagnostic and therapeutic tool in the context of ADHD is given. Based on that knowledge, novel EEG measurement modes, new development principles, and system on chip implementations are presented and discussed.

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Blood Pressure Estimation Using a Single PPG Signal

Cited by 2 publications

References 15 publications

Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact

Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact

On the Treatment and Diagnosis of Attention Deficit Hyperactivity Disorder with EEG Assistance

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