<p>Duties:</p><p>1). Signal preprocessing:</p><p>（1）Design and implement pre-processing algorithms for photoplethysmographic pulse waves and other related physiological signals, including but not limited to: noise reduction (such as filtering, wavelet transformation, adaptive filtering), motion artifact detection and correction, baseline drift removal, signal quality assessment.</p><p>（2） Process multi-modal data from different sensors (such as PPG, ECG, accelerometer) for synchronization and fusion.</p><p>2). Data screening and quality management:</p><p>（1）Develop automation tools and processes to screen large-scale physiological signal datasets for quality, identify and mark invalid</p><p>3). Low-quality or severely interfered signal segments.</p><p>（2）Establish signal quality evaluation standards, provide reliable data input for subsequent processing and analysis.</p><p>4). Signal feature extraction and its selection:</p><p>（1）In-depth study of PPG waveform morphology, extraction of time-domain, frequency-domain, and time-frequency-domain features related to blood pressure physiological mechanism.</p><p>（2） Study the calculation method of key parameters such as pulse wave propagation time and waveform characteristic points.</p><p>（3）Apply statistical methods and machine learning techniques (such as correlation analysis, recursive feature elimination, model-based feature importance) to screen and optimize the large number of extracted features.</p><p>5). Algorithm development and optimization:</p><p>（1） Participate in the development, implementation, validation, and optimization of a feature-based, sleeveless blood pressure estimation algorithm.</p><p>（2）Work closely with AI engineers to provide high-quality feature inputs for model training</p><p>6). Documents and collaboration:</p><p>（1） Clearly record algorithm design, implementation details, test results and analysis reports.</p><p>（2）Effective communication and collaboration with cross-functional teams such as hardware, software, clinical validation, etc. </p><p></p><p></p><p>Job Requirements</p><p>1). Bachelor's degree or above, majoring in Biomedical Engineering, Electronic Engineering, Computer Science, Signal Processing, Applied Mathematics or related fields.</p><p>2). Proficient in digital signal processing theory and technology: in-depth understanding of filtering, spectral analysis, time-frequency analysis, etc.</p><p>3). Rich signal processing practical experience: Proficient in using MATLAB and Python (NumPy, SciPy, Pandas, Scikit-learn, etc. libraries) for algorithm development and data analysis.</p><p>4). Feature engineering ability: Proficient in feature extraction, feature selection, and feature evaluation methods.</p><p>5). Problem solving ability: Strong analysis and solving complex signal processing problems. </p><p>6). Communication and collaboration: good written and oral Chinese and English communication skills, with a team spirit.</p><p></p><p>Offline office does not support remote work.</p>