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Johanna Sahlman
Publication Activity (10 Years)
Years Active: 2015-2022
Publications (10 Years): 2
Top Topics
Physiological Parameters
Deep Learning
Feasible Solution
Sleep Apnea
Top Venues
IEEE Access
Medical Biol. Eng. Comput.
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Publications
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Akseli Leino
,
Henri Korkalainen
,
Laura Kalevo
,
Sami Nikkonen
,
Samu Kainulainen
,
Alexander Ryan
,
Brett Duce
,
Kirsi Sipila
,
Jari Ahlberg
,
Johanna Sahlman
,
Tomi Miettinen
,
Susanna Westeren-Punnonen
,
Esa Mervaala
,
Juha Töyräs
,
Sami Myllymaa
,
Timo Leppänen
,
Katja Myllymaa
Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG.
IEEE Access
10 (2022)
Laura Kalevo
,
Tomi Miettinen
,
Akseli Leino
,
Susanna Westeren-Punnonen
,
Johanna Sahlman
,
Esa Mervaala
,
Juha Töyräs
,
Timo Leppänen
,
Sami Myllymaa
,
Katja Myllymaa
Self-Applied Electrode Set Provides a Clinically Feasible Solution Enabling EEG Recording in Home Sleep Apnea Testing.
IEEE Access
10 (2022)
Antti Kulkas
,
Timo Leppänen
,
Johanna Sahlman
,
Pekka Tiihonen
,
Esa Mervaala
,
J. Kokkarinen
,
J. Randell
,
J. Seppä
,
Juha Töyräs
,
H. Tuomilehto
Amount of weight loss or gain influences the severity of respiratory events in sleep apnea.
Medical Biol. Eng. Comput.
53 (10) (2015)