physiological data collection (PLUX Biosignals SA)
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Physiological Data Collection, supplied by PLUX Biosignals SA, used in various techniques. Bioz Stars score: 97/100, based on 209 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/physiological+data/biosignalsplux+Kit/pm39880852-73-0-13
Average 97 stars, based on 209 article reviews
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Software:Article Title: Breathing training guided by an embodied agent in immersive virtual reality: a study of psychological and physiological effects Article Snippet: The data from the first two sensors (respiratory activity and EDA) were recorded by a Thought Technology ProComp Infiniti encoder with a sampling rate of 10 Hz. .. The data from the other sensors (BVP and fNIRS) were recorded using a Sampling:Article Title: Breathing training guided by an embodied agent in immersive virtual reality: a study of psychological and physiological effects Article Snippet: The data from the first two sensors (respiratory activity and EDA) were recorded by a Thought Technology ProComp Infiniti encoder with a sampling rate of 10 Hz. .. The data from the other sensors (BVP and fNIRS) were recorded using a Analysis:Article Title: Breathing training guided by an embodied agent in immersive virtual reality: a study of psychological and physiological effects Article Snippet: The data from the first two sensors (respiratory activity and EDA) were recorded by a Thought Technology ProComp Infiniti encoder with a sampling rate of 10 Hz. .. The data from the other sensors (BVP and fNIRS) were recorded using a Electrophysiology:Article Title: Breathing training guided by an embodied agent in immersive virtual reality: a study of psychological and physiological effects Article Snippet: The data from the first two sensors (respiratory activity and EDA) were recorded by a Thought Technology ProComp Infiniti encoder with a sampling rate of 10 Hz. .. The data from the other sensors (BVP and fNIRS) were recorded using a Electromyography:Article Title: Fatigue State Assessment Based on Soft Voting Using Surface Electromyography Signals Article Snippet: .. The |
