Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Matti Kaisti"'
Publikováno v:
Advanced Science, Vol 11, Iss 24, Pp n/a-n/a (2024)
Abstract Minimally invasive and non‐invasive hemodynamic monitoring technologies have recently gained more attention, driven by technological advances and the inherent risk of complications in invasive techniques. In this article, an experimental n
Externí odkaz:
https://doaj.org/article/5405227976b240a8b9b45f0606e4185a
Autor:
Matti Kaisti, Tuukka Panula, Jukka‐Pekka Sirkiä, Mikko Pänkäälä, Tero Koivisto, Teemu Niiranen, Ilkka Kantola
Publikováno v:
Advanced Science, Vol 11, Iss 24, Pp n/a-n/a (2024)
Abstract Results from two independent clinical validation studies for measuring hemodynamics at the patient's bedside using a compact finger probe are reported. Technology comprises a barometric pressure sensor, and in one implementation, additionall
Externí odkaz:
https://doaj.org/article/0b4ea83d37c5458c9a1de2eb530813df
Autor:
Alexander Silva Pinto Collins, Hasan Kurt, Cian Duggan, Yasin Cotur, Philip Coatsworth, Atharv Naik, Matti Kaisti, Tolga Bozkurt, Firat Güder
Publikováno v:
Advanced Science, Vol 11, Iss 23, Pp n/a-n/a (2024)
Abstract Accurate quantification of hypersensitive response (HR) programmed cell death is imperative for understanding plant defense mechanisms and developing disease‐resistant crop varieties. Here, a phenotyping platform for rapid, continuous‐ti
Externí odkaz:
https://doaj.org/article/0ee0aabfdbac4e9bb41af4e38f3550cc
Publikováno v:
Biomedical Engineering Advances, Vol 7, Iss , Pp 100123- (2024)
Photoplethysmography (PPG) sensors are widely used to measure a variety of physiological parameters, from heart rate to clinically important peripheral oxygen saturation (SpO2). The ease of obtaining a PPG signal simply by placing the sensor on a bod
Externí odkaz:
https://doaj.org/article/406724dd63eb4d449769d0369b7f4004
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1337 (2024)
Emotion recognition, a rapidly evolving domain in digital health, has witnessed significant transformations with the advent of personalized approaches and advanced machine learning (ML) techniques. These advancements have shifted the focus from tradi
Externí odkaz:
https://doaj.org/article/58ce47ea48a7498e8368a40998232633
Autor:
Estefania Nunez-Bajo, Alexander Silva Pinto Collins, Michael Kasimatis, Yasin Cotur, Tarek Asfour, Ugur Tanriverdi, Max Grell, Matti Kaisti, Guglielmo Senesi, Karen Stevenson, Firat Güder
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Designing efficient, rapid and low-cost diagnostic technologies targeting nucleic acids remains a challenge. Here the authors present a disposable silicon-based integrated Point-of-Need transducer produced in a standard wet lab and able to chemically
Externí odkaz:
https://doaj.org/article/a98aceb5b7574affba0711cdddc4bbe4
Autor:
Olli Lahdenoja, Tero Hurnanen, Matti Kaisti, Juho Koskinen, Jarno Tuominen, Matti Vähä-Heikkilä, Laura Parikka, Maria Wiberg, Tero Koivisto, Mikko Pänkäälä
Publikováno v:
BioMedical Engineering OnLine, Vol 18, Iss 1, Pp 1-14 (2019)
Abstract Background In the context of monitoring dogs, usually, accelerometers have been used to measure the dog’s movement activity. Here, we study another application of the accelerometers (and gyroscopes)—seismocardiography (SCG) and gyrocardi
Externí odkaz:
https://doaj.org/article/994558530e9a449bb9c08fa9b3914ad8
Autor:
Estefania Nunez-Bajo, Alexander Silva Pinto Collins, Michael Kasimatis, Yasin Cotur, Tarek Asfour, Ugur Tanriverdi, Max Grell, Matti Kaisti, Guglielmo Senesi, Karen Stevenson, Firat Güder
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020)
A Correction to this paper has been published: https://doi.org/10.1038/s41467-020-20396-6
Externí odkaz:
https://doaj.org/article/5b00c4982fc64745bf693795920b88a9
Publikováno v:
Remote Sensing, Vol 8, Iss 2, p 85 (2016)
Total power radiometer has a simple configuration and the best theoretical resolution. Gain fluctuations and calibration errors, however, can induce severe errors in the solved scene brightness temperature. To estimate the overall radiometer performa
Externí odkaz:
https://doaj.org/article/fa09081cd7224f3da9c8d2366a19981a
Autor:
'Ismail M. Elnaggar, Tero Hurnanen, Jonas Sandelin, Olli Lahdenoja, Antti Airola, Matti Kaisti, Tero Koivisto\\'
Publikováno v:
Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1611b5da916bbd1c04ebadeeec99ae08
https://doi.org/10.22489/cinc.2022.364
https://doi.org/10.22489/cinc.2022.364