• Proceedings of the IEEK Conference
• /
• 2006.06a
• /
• pp.859-860
• /
• 2006

We developed a cuffless and noninvasive measurement technique of blood pressure using tonometric pressure sensor. With observation that the maximum value of pulse pressure is not obtained at mean arterial pressure(MAP), we have figured out MAP based on the physiological characteristic including the elasticity of wrist tisse. Detecting only one part of the body and using only one device are quite advantageous over other BP measurement techniques. Our technique makes new way for the cuffless BP measurement.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2009.06a
• /
• pp.126-126
• /
• 2009

Noninvasive plasma diagnostic technique is introduced to analyze and characterize HICP (Helmholtz Inductively Coupled Plasma) source during the plasma etching process. The HICP reactor generates plasma mainly through RF source power at 13.56MHz RF power and RF bias power of 12.56MHz is applied to the cathode to independently control ion density and ion energy. For noninvasive sensors, the RF sensor and the OES (Optical emission spectroscopy) were employed since it is possible to obtain both physical and chemical properties of the reactor with plasma etching. The plasma impedance and optical spectra were observed while altering process parameters such as pressure, gas flow, source and bias power during the poly silicon etching process. In this experiment, we have found that data measured from these noninvasive sensors can be correlated to etch results. In this paper, we discuss the relationship between process parameters and the measurement data from RF sensor and OES such as plasma impedance and optical spectra and using these relationships to analyze and characterize H-ICP source.

• Journal of Sensor Science and Technology
• /
• v.15 no.6
• /
• pp.449-456
• /
• 2006

The purpose of urodynamic investigation is to obtain the information on the function of the urinary system. The aim of this study is to acquire the useful information of lower urinary tract symptom (LUTS) diagnosis through void force signal as noninvasive method. The system which could evaluate the function of compensatory hypertrophy with noninvasive and comfortable method was implemented to measure uroflow and void force during urination. The implemented system composes of the sensor parts, signal conditioning parts and PC monitoring program. For the evaluation of the implemented system, the simulation of control part of the system was performed and the model system for the lower urinary system was designed. The superiority of a measuring characteristic of the implemented system was verified using the model system. From the evaluation of the model system, we have found out that the void force was dependent on the occlusion degree and compensatory hypertrophy significantly.

• Journal of Sensor Science and Technology
• /
• v.16 no.3
• /
• pp.202-210
• /
• 2007

The aim of this study is to acquire useful information of lower urinary tract symptom (LUTS) diagnosis through urophonography signal as a noninvasive method. The hardware and software which could evaluate the function of compensatory hypertrophy with noninvasive and comfortable method was implemented to measure uroflow and urophonography signal during urination. The PSD (power spectrum density) and the log-log plot gradient analysis were accomplished in frequency domain. For evaluation of the system and analysis method, a model system for the lower urinary system of men was used. From the evaluation of the model system, the PDS and the log-log plot gradient were dependent on the occlusion degree significantly. In a pilot study on normal and abnormal male subjects, the PSD and the log-log plot gradient were highly correlated with the artificial urethral obstruction.

• Proceedings of the KOSOMBE Conference
• /
• v.1998 no.11
• /
• pp.129-130
• /
• 1998

In this paper, We designed the ECG-NIBP-$SpO_2$ patient monitor. This production can measure Electrocardiograph, Heart Rate, Noninvasive Blood Pressure, and Oxygen Saturation for Noninvasive Mehod and can display each information. These informations were implemented by the electrodes of ECG part, the cuff of NIBP module and the finger probe with light sensor of $SpO_2$ without injection of needle or catheter. In addition, We developed a new analysis algorithm and measurement technique for NIBP and $SpO_2$ to observe patient's conditions correctly.

• Journal of the Institute of Convergence Signal Processing
• /
• v.8 no.1
• /
• pp.6-14
• /
• 2007

The purpose of urodynamic investigation is to determine information on the function of the urinary system. One of the most frequently used measurement procedures in urodynamics is filling and voiding cystometry using invasive method. But in this method transurethral catheter is use and it makes patients uncomfortable. The aim of this study was to implement the system that could evaluate the function of urinary tract with noninvasive and comfortable method. Therefor in this study, a sensor and measuring system were implemented to measure uroflow, urophonography and noninvasive bladder pressure signal during urination for diagnosing the LUTS(lower urinary tract symptoms) using noninvasive method. The implemented system compose of the sensor parts, signal conditioning parts, system control parts using FPGA and PC monitoring program. For the evaluation of the implemented system, the simulation of system's control part was performed and the model system for the lower urinary system was designed. From the evaluation of the model system, the mean error rate of the uroflow measurement part was 1.08% and coefficient of variation was 1,48. And the mean error rate of the noninvasive bladder pressure measurement part was 2.41% and coefficient of variation was 2.81. urophongraphy signal analysis was accomplished in a time domain and frequency domain. Average RMS power was used in a time domain analysis, and MF was used in a frequency domain analysis. From the evaluation of the model system average RMS power and MF was dependent on the occlusion degree significantly and median frequency range of $60{\sim}160Hz$ was correlated with the occlusion.

• Journal of Sensor Science and Technology
• /
• v.31 no.2
• /
• pp.71-78
• /
• 2022

Wearable devices have the potential to revolutionize future medical diagnostics and personal healthcare. The integration of biosensors into scalable form factors allow continuous and noninvasive monitoring of key biomarkers and various physiological indicators. However, conventional wearable devices have critical limitations owing to their rigid and obtrusive interfaces. Recent developments in functional biocompatible materials, micro/nanofabrication methods, multimodal sensor mechanisms, and device integration technologies have provided the foundation for novel skin-interfaced bioelectronics for advanced and user-friendly wearable devices. Nonetheless, it is a great challenge to satisfy a wide range of design parameters in fabricating an authentic skin-interfaced device while maintaining its edge over conventional devices. This review highlights recent advances in skin-compatible materials, biosensor performance, and energy-harvesting methods that shed light on the future of wearable devices for digital health and personalized medicine.

• Journal of Sensor Science and Technology
• /
• v.32 no.6
• /
• pp.378-385
• /
• 2023

Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.

• Clinical Endoscopy
• /
• v.57 no.2
• /
• pp.203-208
• /
• 2024

Background/Aims: Upper gastrointestinal bleeding (UGIB) is the most common GI condition requiring hospitalization. The present study aimed to evaluate the safety and feasibility of using the PillSense system (EnteraSense Ltd.), a novel diagnostic tool designed for the rapid in vivo detection of UGIB, in human volunteers. Methods: In the present study, 10 volunteers swallowed a PillSense capsule, followed by 2 servings of an autologous blood preparation. Participants were monitored for capsule passage, overall tolerability of the procedure, and adverse events. Results: The procedure was completed per the protocol established in the present study in 9/10 cases. In 9 of the subjects, after capsule ingestion, the device indicated the absence of blood with sensor output values of 1. After the ingestion of the first blood mixture, the sensor outputs of all devices increased to a range from 2.8 to 4, indicating that each sensor capsule detected blood. The sensor output remained within that range after the ingestion of the second mixture; however, in one case, the baseline capsule signal was positive, because of a preexisting condition. The passage of the capsule was verified in all patients, and no adverse events were reported. Conclusions: The first trial of the PillSense system in human subjects demonstrated the feasibility, safety, and tolerability of utilizing this product as a novel, noninvasive, and easy-to-use triage tool for the diagnosis of patients suspected of having UGIB.

• Journal of Sensor Science and Technology
• /
• v.26 no.4
• /
• pp.239-244
• /
• 2017

Noninvasive, cuffless, and continuous blood pressure (BP) monitoring is essential to prevent and control hypertension. A well-known existing method for this measurement is pulse transit time (PTT), which has been investigated by many researchers as a promising approach. However, the fundamental principle of the PTT method is based on the time interval taken by a pulse wave to propagate between the proximal and distal arterial sites. Consequently, this method needs an independent system with two devices placed at two different sites, which is a problem. Even though some studies attempted to synchronize the system, it is bulky and inconvenient by contemporary standards. To find a more sensitive method to be used in a BP measurement device, this study used radial electrical bioimpedance (REB) as a potential indicator for BP determination. Only one impedance plethysmography channel at the wrist is performed for demonstrating a ubiquitous BP wearable device. The experiment was evaluated on eight healthy subjects with the ambulatory BP monitor on the upper arm as a reference. The results demonstrated the potential of the proposed method by the correlation of estimated systolic (SBP) and diastolic (DBP) BP against the reference at $0.84{\pm}0.05$ and $0.83{\pm}0.05$, respectively. REB also tracked the DBP well with a root-mean-squared-error of $7.5{\pm}1.35mmHg$.