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research#biomedical engineering🔬 ResearchAnalyzed: Jan 4, 2026 06:50

Confidence analysis-based hybrid heartbeat detection for ballistocardiogram using template matching and deep learning

Published:Dec 28, 2025 13:42
1 min read
ArXiv

Analysis

This article describes a research paper on a hybrid method for heartbeat detection using ballistocardiogram data. The approach combines template matching and deep learning techniques, with a focus on confidence analysis. The source is ArXiv, indicating a pre-print or research paper.
Reference

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Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 10:41

Broadband tunable microwave photonic radar for simultaneous detection of human respiration, heartbeat, and speech with deep learning-based speech recognition

Published:Dec 25, 2025 08:21
1 min read
ArXiv

Analysis

This article describes a research paper on a novel radar system. The system utilizes microwave photonics and deep learning for simultaneous detection of vital signs and speech. The focus is on the technical aspects of the radar and its application in speech recognition.
Reference

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PermalinkArXiv
Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 08:46

Measuring the time-scale-dependent information flow between maternal and fetal heartbeats during the third trimester

Published:Dec 24, 2025 22:31
1 min read
ArXiv

Analysis

This article describes research on analyzing the relationship between maternal and fetal heartbeats using information flow analysis. The focus is on the third trimester of pregnancy. The use of 'time-scale-dependent' suggests a sophisticated approach to understanding the interaction between the two systems.
Reference

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Health & Fitness#AI in Fitness📝 BlogAnalyzed: Dec 29, 2025 08:31

Physiology-Based Models for Fitness and Training w/ Firstbeat with Ilkka Korhonen - TWiML Talk #106

Published:Feb 2, 2018 18:52
1 min read
Practical AI

Analysis

This article summarizes a podcast episode discussing Firstbeat, a company specializing in algorithms for fitness trackers. The conversation with Ilkka Korhonen, VP of Technology at Firstbeat, covers how they transform sensor data (heartbeat) into actionable insights regarding stress, fitness, recovery, and sleep. The discussion highlights their use of digital physiological models, sensor data analysis for predicting bodily changes, and future applications of machine learning. The article also promotes an upcoming AI conference in New York, providing details and a discount code. The focus is on practical applications of AI in the health and fitness domain.
Reference

“The article doesn't contain a direct quote.”

PermalinkPractical AI
Research#Healthcare AI👥 CommunityAnalyzed: Jan 10, 2026 17:32

Deep Learning Project Detects Heartbeat from Audio and Video

Published:Feb 10, 2016 20:44
1 min read
Hacker News

Analysis

This article discusses a deep learning project focused on an interesting application of AI: detecting a heartbeat from audio and video inputs. The potential applications in healthcare and security are significant, but ethical considerations regarding privacy and data security need careful examination.
Reference

“The article's key focus is using deep learning models on audio and video to extract the heart rate of a subject.”

PermalinkHacker News