HeartLens-AppleWatch
importedsoftware/heartlens-applewatch
Apple Watch ECG AI 深度分析 | 5 类心脏异常检测 + 心电波形染色可视化 + Qwen3.5 端侧解读 | 完全离线
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- apple-watch · cnn-lstm · deep-learning · ecg · ecg-classification · grad-cam · gradcam · heart
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- dynamic_ecgapple-watch · ecg
A python package to process Apple Watch ECG data
- heartkitecg · heart
Perform AI-based heart monitoring tasks
DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,
- EEGSpeechcnn-lstm
A brain-computer interface (BCI) for decoding speech phonemes from EEG signals using a hybrid CNN-LSTM model, with interactive Streamlit visualizations and Docker support.
- MediScangradcam
MediScan: AI-powered bone fracture detection system achieving 99.8% accuracy through deep learning. Features real-time X-ray analysis, transparent Grad-CAM visualizations, and clinical integration…
- SYNAPTICONcnn-lstm
SYNAPTICON is a research prototype at the intersection of neuro-hacking, non-invasive BCIs, and foundational models, probing new territories of human expression, aesthetics, and AI alignment. At its…
- api.github.com/repos/patr1ckzhu/HeartLens-AppleWatchretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-03-31, 8 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/45.json→ .entries["heartlens-applewatch"]
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