A5077846119- Advanced Sensor and Energy Harvesting Materials
- Non-Invasive Vital Sign Monitoring
- Muscle activation and electromyography studies
- ECG Monitoring and Analysis
- Obstructive Sleep Apnea Research
- Gas Sensing Nanomaterials and Sensors
- Heart Rate Variability and Autonomic Control
- Context-Aware Activity Recognition Systems
- EEG and Brain-Computer Interfaces
- Innovative Energy Harvesting Technologies
- Energy Harvesting in Wireless Networks
- Graph Theory and Algorithms
- Conducting polymers and applications
- Advanced Image and Video Retrieval Techniques
- IoT-based Smart Home Systems
- Tactile and Sensory Interactions
- Stroke Rehabilitation and Recovery
- Teaching and Learning Programming
Fudan University
2016-2020
University of Turku
2020
Constructing flexible, high-sensitivity strain sensors with large working ranges is an urgent task in view of their widespread applications, including human health monitoring. Herein, we propose a self-compensated two-order structure strategy to significantly enhance the sensitivity and workable range sensors. Three-dimensional printing was employed construct highly stretchable, conductive polymer composite open meshes, which percolation network graphene sheets constitutes deformable path....
For infants admitted at neonatal intensive care unit, the continuous monitoring of health parameters is critical for their optimal treatment and outcomes. So it's crucial to provide proper treatment, accurate comfortable conditions newborn infants. In this paper, we propose wearable sensor systems integrated with flexible material based non-invasive sensors monitoring. The system aims providing reliable vital signs as well clinical environments care. consists a smart vest cloud platform....
Heart rate variability (HRV) reflects the regulating effect of autonomic nerve on cardiovascular functions and is strongly influenced by respiratory rhythm. For more convenient monitoring physiological or pathological information about heart nerves during sleep than conventional systems, a smart mattress that could measure electrocardiogram (ECG) signals through clothes was designed. The system mainly consists three electrodes are made flexible silver fiber conductive fabric, signal...
A non-contact electrocardiograph (ECG) measurement system based on capacitive coupled electrodes is proposed. Unlike conventional wet electrode, the electrode designed to measure ECG signal both in contact with skin and through clothes. The hardware part of includes two electrodes, a reference processing module transmission module, software data extraction, processing, storage, waveform display. real-time denoising algorithm developed wavelet transform moving window. To verify performance...
A novel wearable multimode system for lower limb activity evaluation and rehabilitation comprised of a multifunctional band, plantar pressure distribution sensor local mobile terminal connected to cloud platform is presented. This proposed can acquire the necessary data based on clinical practice. By using system, therapists distribute specific training plans results through patients rehabilitate more efficiently. Inertial Measurement Units (IMU) physiological signal front ends with...
A wearable respiration monitoring system based on Respiratory induction plethysmography (RIP) using a new Polydimethylsiloxane-graphene (PDMS-graphene) compound tensile sensor is proposed. The manufacture procedure of this novel resistance-based presented together with wireless acquisition system. proposed shows high sensitivity during stretching and promising cyclic stability for continuous 3,600 cycles. Statistical analysis confirms correlation respiratory rate between the medical-level...
Kinematic chain Isomorphism identification (KCII), as an important application of graph isomorphism, plays a crucial role in mechanism creative design. However, traditional methods used KCII lack efficiency and usually occupy high memory space. In this paper, highly efficient algorithm is proposed, optimized circuit simulation method the adjacency list are applied. The experimental results for demonstrate great improvement computation compared with original VF2 (in symmetrical graphs situation).
Respiration monitoring is critical for the clinical treatment and nursing of neonates. Existing respiration protocols rely either on indirect measurements thoracic impedance or other invasive techniques that pose a risk discomfort infection to infants. In addition, multiple wire loops around infants hinder delivery parental care. Based this demand, graphene material‐based neonatal device was proposed. The system has advantages precision, flexibility, less pressure body, suitable embedding in...
Bio-signals including electrocardiogram (ECG), respiration rate, motion-related signals, plantar pressure distribution are important for monitoring and assessing a person's health status. Via some of the bio-signals, diseases or abnormalities such as cardiovascular human fall can be detected. However, traditional systems have limitations they expensive, not-easy-to-use, stationary, inconvenient uncomfortable to use. It is required an advanced solution dealing with while maintaining high...