Publications by authors named "Fan Dou"
The efficiency of silicon solar cells is still lower than theoretical values, partly due to their inability to utilize the ultraviolet and infrared portions of the solar spectrum. Herein, a novel method using a KCaMg(VO) phosphor with a down-shift effect to improve the photovoltaic performance of silicon solar cells and enhance the utilization of UV light in standard p-type silicon solar cells is proposed. The synthesized phosphors were mixed with an ethylene vinyl acetate (EVA) copolymer and pressed into a film, which was subsequently encapsulated in monocrystalline silicon solar cells.
View Article and Find Full Text PDFMulti-Person Breathing Detection With Switching Antenna Array Based on WiFi Signal.
IEEE J Transl Eng Health Med
December 2022
Article Synopsis
- WiFi sensing is being developed for monitoring vital signs, especially focusing on a multi-person breathing sensing system using WiFi signals instead of just single-person tasks.
- The technology involves using a radio frequency switch and a reference channel to counteract phase offsets in the signals, making it possible to detect multiple people's breaths simultaneously.
- By employing beamforming and combining frequency and angle of arrival analysis, the system effectively identifies respiratory rates and positions, proving useful for real-time and long-term health monitoring in non-contact scenarios.
Background: Chronic renal disease (CKD) is a common and irreversible loss of renal function. Renal fibrosis reflected the degree of renal dysfunction. However, the current biomarkers only characterize the renal function instead of indicating the fibrosis degree.
View Article and Find Full Text PDFObjective: Non-invasive respiration detection methods are of great value to healthcare applications and disease diagnosis with their advantages of minimizing the patient's physical burden and lessen the requirement of active cooperation of the subject. This method avoids extra preparations, reduces environmental constraints, and strengthens the possibility of real-time respiratory detection. Furthermore, identifying abnormal breathing patterns in real-time is necessary for the diagnosis and monitoring of possible respiratory disorders.
View Article and Find Full Text PDFParkinsonian gait is a defining feature of shaking palsy (SP) and it has one of the worse impacts on human healthy life than other SP symptoms. The objective of this work is to propose a Parkinsonian gait detection system based on an S-band perception technique to classify abnormal gait and normal walking. Due to the differences in the Gaits of Parkinson's patients compared with healthy persons, the wireless signals reflect and generates different variations at the receiver that could be used for SP diagnosis and classification.
View Article and Find Full Text PDFHuman respiratory activity parameters are important indicators of vital signs. Most respiratory activity detection methods are naïve abd simple and use invasive detection technology. Non-invasive breathing detection methods are the solution to these limitations.
View Article and Find Full Text PDFArticle Synopsis
- A non-intrusive sleep apnea detection system uses C-Band channel sensing to monitor sleep apnea in real-time by analyzing RF signal perturbations.
- The system calculates peak distances to determine respiratory rates and compares its data with a wearable sensor to assess accuracy.
- Results show over 80% concordance between the two methods, indicating that this detection technique could be an effective and reliable solution for real-time sleep apnea monitoring.
Article Synopsis
- The paper addresses the challenges caregivers face due to dementia patients' wandering behaviors, which can occur from boredom or memory issues.
- It explores using S-band sensing techniques to monitor different wandering patterns, like random movement, lapping, and pacing, within indoor environments.
- Results indicate that the technique achieves an impressive classification accuracy of up to 90%, suggesting it could be beneficial for improving healthcare for dementia patients.*
Detection of Essential Tremor at the [Formula: see text]-Band.
IEEE J Transl Eng Health Med
January 2018
Article Synopsis
- Essential tremor (ET) is a neurological disorder causing involuntary shaking, primarily in the hands and fingers.
- The paper discusses a method to monitor ET using small wireless devices that capture finger-to-nose test measurements, analyzing amplitude and phase signals to detect tremors.
- A support vector machine algorithm is employed to classify tremor and non-tremor data with over 90% accuracy by transforming and calibrating the signal data effectively.
Rationale: Endometrial stromal sarcoma (ESS) is rare, representing only approximately 0.2% of all uterine malignancies. Mixed type endometrial carcinomas (MT-ECs) are rare tumors with both type I and II features, and are difficult to diagnose.
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