Showing papers presented at "Biomedical Engineering International Conference in 2014"

Automated classification between age-related macular degeneration and Diabetic macular edema in OCT image using image segmentation

Abstract: Age-related macular degeneration (AMD) and Diabetic macular edema (DME) are to lead causes to make a visual loss in people. People are suffered from the use of many time to diagnose and to wait for treatment both of diseases. This paper proposes a step of image segmentation to be divided the optical coherence tomography (OCT) to find the retinal pigment epithelium (RPE) layer and to detect a shape of drusen in RPE layer. Then, the RPE layer is used for finding retinal nerve fiber layer (RNFL) and for detecting a bubble of blood area in RNFL complex. Finally, this method uses a binary classification to classify two diseases characteristic between AMD and DME. We use 16 OCT images of a case study to segmentation and classify two diseases. In the experimental results, 10 images of AMD and 6 images of DME can be detected and classified to accuracy of 87.5%.

Sign language-Thai alphabet conversion based on Electromyogram (EMG)

Abstract: Communication and sign-language learning of the people with hearing disabilities in Thailand has been problematic due to limited number of sign-language experts. To facilitate the sign-language learning and communication between the hearing disability and ordinary people, the sign language-to-alphabet spelling conversion was developed based on electromyography (EMG) signal recorded from the forearm muscles. The EMG signal of 10 different Thai sign-language gestures were recorded with the electrode arrangement similar to the Myo device from Thalmic Labs and analyzed. To extract the distinct features of the EMG signals, moving variance and mean absolute value (MAV) were chosen. The extracted output data was processed with the classification algorithm via non-linear model (artificial neural networks (ANN)) to confirm that the EMG signal for each alphabet gesture is accurately matched with the actual spelling alphabet. The system is able to measure the match of the output with total accuracy of more than 95%.

Face shape classification from 3D human data by using SVM

Abstract: Face shape is also important information for glasses design companies. In this paper, we proposed a non-contact method to classify the face shape by using Support Vector Machine (SVM) technique. This algorithm consists of three steps: head segmentation, face plane identification, and face shape classification. First, as whole 3D body data is captured and used as input of system, Eigenvector is used to define frontal side. Chin-Neck junction, Ellipsoid Fitting Technique and Mahalanobis distance are combined as a head segmentation algorithm to segment the 3D head. Second, face shape can be observed when projected on a plane. Major axes of ellipsoid are used to define a plane along the head called the face plane. Face shape on the face plane is classified into four classes in third step. To test the performance of the proposed method, ninety subjects are used. SVM is used to classify the face shape into four groups. The four type of the face shape are ellipse shape, long shape, round shape, and square shape. The accuracy rate is 73.68%. The result shows the feasibility of the proposed method. An advantage of this method is that this method is first fully automatic and non-contact face shape classification for whole 3D human body data.

Design and development of SMART insole system for plantar pressure measurement in imbalance human body and heavy activities

Abstract: Body balance and center of pressure (COP) of the human body are extensively studied to assist the patients who loss of the body balances. Many medical devices are developed to detect the human body imbalance and to measure COP. This research presents a new medical device to measure the plantar pressure distribution. The device is capable to monitor the physical body balance, to identify the pathomechanical dysfunction, to evaluate the treatments, and to improve sport skill performance. It is designed in the feature of the insole system which consists of the force sensors, microcontroller, and wireless module integrated with the real time graphical user interface (GUI) on Visual C# program. The insole system is able to measure the plantar pressure distribution, and is able to collect the force data for evaluating the treatment. It is able to use in heavy activities such as jumping and running. This system uses the wireless system for communicating between the insoles and the graphical user interface in PC, laptop, and smart phone.

American Sign Language recognition by using 3D geometric invariant feature and ANN classification

Abstract: Communication between normal and disabled person has been developed in several researches. The hand gesture is one of important communication for the deaf, especially American Sign Language (ASL) which is used in order to represent each alphabet (A-Z). This paper aims to translate ASL from static postures. Besides, this research also designs the glove with six different colored markers and develops algorithm for alphabet classification. Moreover the system is set by two cameras in order to extract 3D coordinate points from each marker. There are three main important processes for algorithm consisting of marker detection by using Circle Hough Transform, computation of all feasible triangle area patches constructed from 3D coordinate triplet that is novel feature, and feature classification using feedforward backpropagation of Artificial Neural Network. The experimental result shows average of accuracy is 95 percent that is high performance and feasibility for proposed method.

An EMG instrument designed for bruxism detection on masseter muscle

Abstract: Sleep bruxism (SB) is one of the unsolved problems in dentistry characterized by grinding or clenching of teeth during sleep. Without exact treatment procedure, dentists attempt to alleviate SB symptoms and prevent worsen problem of teeth. Biofeedback method is recently interested because it can change abnormal activity to normal activity for improving quality of life in patients by generating some stimuli feedback back to patients after abnormal activity which is detected by a device. And that normal activity is permanent over time after removal of the device. The aims of this study are to investigate maximum voluntary contraction (MVC) of masseter muscle, and to design a portable particular purposed electromyography (EMG) device for detection of SB activity. 20 participants with average age 21.5 years old were asked to clenching and grinding their teeth for mimicking SB activity and recorded EMG signal for greater analysis. EMG signal of MVC showed maximum value around 870 mV and had powerful frequency of 100 to 400 Hz. An EMG device was designed to be the first part of biofeedback system which amplifies the signal around 5,000 times with frequency selection in boundary of 100 to 500 Hz for selecting clenching and grinding signals.

Air quality classification in Thailand based on decision tree

Abstract: The paper presents a model for management classifier air quality by algorithm of decision tree using air quality index in Thailand including a pollutant's concentration e.g. O 3 , NO 2 , CO, SO 2 , PM 10 and levels of healthy concern. The purpose of this research is to establish rules of separated air quality classification by levels of healthy concern. The results of this study are correctly classified into instances of training set of 96.80% and testing set of 91.07%. The ROC curve shows that the training set data and testing set data are similar to such results. The algorithm of decision tree can use to become rules of separated air quality classification by levels of healthy concern.

The relationship between EEG and binaural beat stimulation in meditation

Abstract: The difficulty to understand meditation is the lack of exact methodology, replication of mind condition and depends on individual meditative practice. From these reasons, this research focuses on a relationship between meditation and EEG. The Quantitative EEG will be analyzed and observed in absolute power of each EEG rhythm. Coherence was also analyzed after participants practice meditation during binaural beat stimulation in both eyes-closed and opened four beat frequencies were selected, 5 Hz, 8Hz, 12Hz, and 18Hz respectively. The binaural beat stimulation will be classified into two groups which are pure beat and meta-music that combined binaural beat with other music. The result demonstrates that coherence is the significant index that shown the relationship between EEG and meditation. Theta and lower alpha absolute power also show the significant relationship which increase at frontal-midline. This research demonstrates that, coherence and absolute power are indices which can explain a meditation practice during binaural beat stimulation.

Biometrics authentication based on chaotic heartbeat waveform

Abstract: In this paper, we propose a personal authentication method using heartbeat waveforms to enhance the security in wireless communication. In the heartbeat waveforms of a human being, it is known that there are discriminative characteristic features and the mimicking is very difficult. Therefore, their application to personal authentication has been studied. Existing method performs personal authentication using a chaos indicator of ECG. In this paper, we propose an authentication method that extends the index in order to increase the accuracy of authentication. To validate that our personal authentication method is applicable, we perform some experiments to show that our method provides better authentication than existing one.

Modified dipole antenna for directional microwave ablation using 3D numerical simulation

Abstract: Microwave ablation has several medical applications including liver, kidney, bone and lung. Numerical simulation of microwave ablation is a step in the implementation of system design. This paper presents the temperature distribution of targeted radiation dipole antenna for microwave ablation at 2.45GHz. This experiment through the temperature profile around the antenna achieves in the range 50W, 60W and 70W. In addition, we set the ablation time in the range 300s,600s and 900s. The goal of this work is to develop a device for directional tumor ablation avoiding destruction of neural structures.

The red and blue rooms affect to brain activity, cardiovascular activity, emotion and saliva hormone in women

Abstract: The color and light have effect on physiology, psychology, cognitive performance and hormone production in the human. In this paper, we aim to study red and blue color with their effect on brain activity, cardiovascular activity, emotion and saliva hormone. Each participant was testing in red and blue room. Participant was measure the EEG, ECG, SpO 2 , pulse rate, saliva hormone (melatonin, cortisol, testosterone, progesterone, estradiol and DHEAS), and emotion. The results showed that red room regulates the tension, anger, vigor and confusion moods which stimulate significant increasing of the pulse rate and SpO 2 and cortisol levels but blue room regulates the depression and fatigue. The brain activity of high beta wave (25–30 Hz) was high at the occipital lobe and little high at frontal lobe in red room but the blue room was high at frontal lobes only. The coherence of high beta wave was not difference in both rooms. The Gonadal and melatonin hormone were not clearly changing in red and blue room.

Design and analyses of stress - strain distribution in new coupling for lower limb prosthesis (CLLP) using finite element method

Abstract: The prosthesis is the device which replace the missing part or structure, can be inside or outside the human body. The prosthetic alignment is the method to find the optimal prosthetic function and a very important for efficiency and effectiveness delivery of the prostheses. Good alignment can reflex the better of gait pattern, more natural of gait cycle and less energy consumption during locomotion. Coupling is an additional component which uses for increasing the capacity of alignment adjustability. The objective of project is to develop the new coupling design which is easy to do adjustment, light weight, can be used for endoskeleton and exoskeleton prostheses, extensive adjustment and inexpensive price. The aim of the study has been focusing on the design and analyses of stress - strain distribution in new coupling for lower limb prosthesis (CLLP) using finite element method. The component is designed by using SolidWorks program and analyzed by COSMOSWorks program in order to study the stress - strain distribution. The result of the study has shown that the maximum of stress and strain is 22.64 MPa and 5.55 KPa at the screw connection area respectively. Moreover, displacement and deformation on the component is not present. For the result of the range of alignment adjustability, the maximum of anterior/posterior and medial/lateral translation is about 2 centimeters on each direction, 45 degree in medial rotation and 45 degree in lateral rotation. Further study is going to focus on the mechanical testing and clinical trial with the transtibial and transfemoral amputee.

Smart digital podoscope for foot deformity assessment

Abstract: Foot deformity is a common problem among Thai people. It is resulted from various causes. The deformity may lead to pain and discomfort of feet and legs. The foot condition can be evaluated using plantar pressures and foot deformity measures, depending on the therapists. This paper presents a design of digital podoscope, a screening tool for patients with foot deformity. Built on a commercial optical scanners, our design is smaller than the camera based system. The scanned foot image is color-mapped by a software to calculate the foot index. The system was tested with twenty-five participants who have been diagnosed with foot abnormality. The data show a comparable results with the standard method. Our further study is to develop an algorithm for automatically assessing the deformity and calculating the foot index.

Non-contact respiratory monitoring in neonates

Abstract: Breathing difficulties are common in neonatal patients, and non-contact respiratory monitoring is an area of research which may potentially benefit patients and medical professionals alike by reducing disturbance of the patients by the monitoring system. This paper discusses a range of approaches used in recent years including magnetic, radio, optoelectronic and structured light. We also outline our research into using an optical time-of-flight system based on a game controller (Microsoft Kinect™ v2) to measure respiratory parameters.

The preliminary study of EEG and ECG for epileptic seizure prediction based on Hilbert Huang Transform

Abstract: Epilepsy is a chronic brain disorder. The patient are suffer from the unpredictable seizure. The conventional method for studies the characteristic of epileptic seizure is measuring the Electroencephalogram (EEG). On the other side, there are some studies reported about the relation between heart rate from Electrocardiogram (ECG) and epileptic seizure. This paper is a preliminary study about EEG and ECG based epileptic seizure prediction. The feature extraction method is based on the Hilbert Huang Transform (HHT) and we try to indicate some phenomena of EEG and ECG before the seizure onset. We extract the mean instantaneous frequency from EEG and R-R interval from ECG. The result shows the mean instantaneous frequency in mode one of intrinsic mode function was significantly dropped down simultaneously with R-R interval variation before seizure onset, the prior time is around 130 second. So, we can conclude that there is a possibility to use these two feature as a indicator for early prediction.

Design and construction of infusion device analyzer

Abstract: The purpose of the research aims to design and construction of infusion device analyzer. This research has adopted the principle of the standard calibration curve relationship between the digital output of the load cell to the volume of the solution at any time, and the pressure acting on the pressure sensor to the digital output of it. The designed and constructed infusion device analyzer was composed of four main parts:1) the control part consisting of micro switches for selecting the operating mode, 2) signal detection part composing of load cells, pressure sensor for measuring the volumetric and flow rate of fluid delivered from infusion devices and occlusion pressure in TV line respectively, 3) the processing part comprising of microcontroller ARM Cortex M3 with C language program and 4) the display part includes touch screen graphic - LCD color and computer interfacing via a USB port to analyze the operation of the infusion devices in the form of Trumpet Curve. The results of functional testing were compared with standard infusion devices analyzer Metron Lagu showed that the average percentage error of flow rate and occlusion pressure were 0.134 percent and 0.132 percent successively. The results of standard calibration of the flow rates by the laboratory of Calibration Services and Environmental Analysis Department, Technology Promotion Association (Thailand - Japan) that has been certified by the international ISO - 17025 shown that the average uncertainty of the 95 percent confidence level and average percentage error were ±1.5 ml/hr and 1.9 percent respectively. The production cost of the prototype is 15,000 baht

Enhanced pseudo-dynamic receive beamforming using focusing delay error compensation

Abstract: Dynamic receive beamforming updates focusing delays for every samples of a scanline, leading to increased hardware complexity. To reduce this, pseudo-dynamic receive beamforming is applied to divide scanlines into windows and each window shares the same focusing delays. However, only one sample in a window is in focus, while the rest are out of focus. This paper presents a method to enhance pseudo-dynamic receive beamforming by using linear least squares approximation of the focusing delay errors for every sample in a window in order to compensate for the delay errors of the out-of-focus samples. The method is preliminarily implemented on a single field-programmable gate array (FPGA) with 500K gates.

A Lossless physical-layer encryption scheme in medical Picture Archiving and Communication Systems using highly-robust chaotic signals

Abstract: This paper reviews some major techniques related to the security issues in Picture Archiving and Communications System (PACS) of medical images. Three conventional techniques including watermarking, digital signature and encryptions are studied. The encryption scheme using highly-robust chaotic signals is also proposed as a new lossless physical-layer that improves security in medical images in PACS. The dynamical system utilizing signum function is employed to generate chaotic signals with smooth bifurcation, i.e. no appearance of periodic windows. Nonlinear dynamics of the chaotic maps were initially investigated in terms of Cobweb map, chaotic attractor, Lyapunov exponent spectrum, bifurcation diagram, and 2-dimensional parameter spaces. Encryption qualitative performances are evaluated through pixel density histograms, 2-dimensional power spectral density, key space analysis, key sensitivity, vertical, horizontal, and diagonal correlation plots. Encryption quantitative performances are evaluated through correlation coefficients, NPCR and UACI. Demonstrations of wrong-key decrypted image are also included.

ECG analyzing program for arrhythmia detection

Abstract: The ECG analysis program can provide much information about cardiac disorder. Comparison with visual analysis, require specialist which are not available in many occasion. Therefore, computer-based technique that develops for ECG analysis can used to training inexperience staff and prediagnostic the ECG data. In this work, the ECG analyzing algorithm for arrhythmia detection was applied using MATLAB. Parameters that used in this analysis were peak of P wave, QRS Complex and T wave. The detection of the RR interval, PR interval, QRS complex, QT interval and conversion of the RR interval to heart rate (beat per minute) were developed. ECG analyzing program is easy to use by simply load the ECG data to analyze both the necessary value for arrhythmia detection and type of arrhythmia. In conclusion, the ECG analysis program using as a pre-screen test for ruler area and also use as a training system for medical staff was developed.

Virtual reality game for memory skills enhancement based on QEEG

Abstract: From the past to the present, brain development has been very popular for education. Therefore, many journals and theories about neuroscience, psychology, neuroimaging and physiotherapy have played a key role in brain enhancement Virtual reality is well known as an efficient motivation to enhance motor function. However, much research only proved that there were more immerse and motivate method than conventional way. Hence, which kinds of a procedure have an absolute outcome in brain enhancement? This research will focus on a method that has a high quality in memory development to improve neuroplasticity. Moreover, virtual reality will be developed via Unity which is game engine for developing 2D and 3D game to support a neuronal activity. Quantitative electroencephalogram (QEEG) will be used to prove the result of memory enhancement during training because QEEG reveals topography of frequency band as well as the brain connectivity. Finally, virtual reality game, which is integrated with the neural activity, is compared with the conventional game via QEEG. The aim of this research is to develop the virtual reality that is supported with the neuronal activity for memory skill and to create the simple virtual reality for real brain enhancement.

New visual stimulation paradigm for P300-based brain-computer interfaces

Abstract: We developed a new visual stimulation paradigm for P300-based brain-computer interfaces. The principal idea is to enhance P300 amplitude by modulation of spatial attention to a flickering visual target A small flicker matrix was used for evaluation. Six healthy volunteers participated in experiments, and brain signals were recorded by electroencephalography. We used three basic measures referred to as on-peak, off-peak and peak to compare P300 responses among the participants. We found that compared with existing methods, the proposed stimulation paradigm gave better results in terms of P300 amplitude. The results of this study are expected to contribute to various brain-computer interface applications.

Measurement of the field characteristics from High Intensity Focused Ultrasound transducer

Abstract: The measurement of the field characteristics from a High Intensity Focused Ultrasound (HIFU) transducer is indispensable to optimize tissue ablation and minimize collateral damage. The objective of this research was to develop a system and method to measure the field characteristics from the HIFU source. The implementation of this work utilizes a planar scanning technique. A needle hydrophone was used as a measurement tool to scan the entire ultrasound beam on both X and Y axis at the focal plane of the HIFU transducer at two different frequencies (1.52 MHz and 5 MHz). The voltage signal representing the acoustic pressure-time waveform was then measured as a function of the hydrophone position in the ultrasound field. The pressure distributions of the HIFU source such as contour plots, corresponding color plots and three- dimensional reconstruction plots were obtained. The relationships between the pressure amplitudes generated from the HIFU transducer and the excitation voltages driving the HIFU source are presented to verify the HIFU field extrapolation assumption. The results show that the system and method to measure the field characteristics from HIFU transducer were successfully developed using planar scanning technique. In addition, the results indicate that the acoustic output is not proportional to the excitation voltage driving the HIFU source.

Automated navigation system for eye-based wheelchair controls

Abstract: An electric wheelchair is basically acknowledged for mobility improvement in disability patients. In some cases, their hand could not well function. They may tire easy before reaching to the desired destination. Furthermore, the safety is the most concerned issue for wheelchair control in disability patients. Therefore, this work tries to develop the prototype of the automated navigation system that could safely navigate and facilitate comfortable to the disability patients. In the proposed work, the patients could simply control the wheelchair directions (manual control mode) or select just the destination (automatic navigation mode) by using eye-based wheelchair control. The results revealed that 100% accuracy could be achieved in the trained normal subject with approximately 5 seconds of eye calibration time. The user could enter or exit the system by eye closing protocol. The wheelchair could be accurately navigated on the pre-located mapping. In addition, the obstacles could be detected and safely avoided by the developed automated navigation system.

A difference of human posture between beginner and expert during lifting a heavy load

Abstract: We focused on what is the difference of human posture during lifting a heavy load between a beginner and an expert who has been working in the logistics industry. Although there have been a lot of studies to analyze the human motion through the mathematical modeling, we proposed the method to estimate the bending angle of human upper body through the analysis of the human balance by using the Nintendo wii balance board in order to find out the cause of low back pain in the logistics industry. The proposed method has a good point to measure without the limitation of environment. We analyzed two experts and two beginners without the low back pain in the logistics industry in order to make sure the difference between an expert and a beginner. Through all of analyses, we found that experts had an approaching motion to the load with the less bending angle, and they had the slower unbending motion than that of beginner during lifting the load. That meant that experts bended down to pick up the load with the less bending angle, and they stood up with the slower motion while lifting the load. Thus, experts became the faster steady state than beginners.

3-axis static magnetic field cancellation system

Abstract: We have been unwittingly exposed to magnetic field. Biological effects due to electromagnetic field exposure has been studied over the past several decades. There has been epidemiological studies and laboratory studies. In the case of laboratory studies, the effect was observed through the cell stimulation of an artificial magnetic field. The used frequency and waveform are various in the cell experiment, but the intensity of the magnetic field is usually around 10G. Intensity of Earth's magnetic field is about 300–400mG and surrounding electromagnetic fields are various and hard to predict. Although this intensity is not much stronger than artificial magnetic field as 3–4%, but we can't ignore the effect because every living thing on earth has already adapted for long time ago. In this study, we have designed and implemented the 3-axis static magnetic field generator in order to remove the field in the real-time and kept its intensity less than ±5mG(±0.5uT) using 3 axes Helmholtz coil.

Wireless Electrocardiogram monitoring using mobile network communication

Abstract: Wireless monitoring system is the effective and convenient tools in medical field nowadays. It is widely applied to many physiological parameters such as Electrocardiogram (ECG), Electroencephalogram (EEG), etc. This paper proposes a low cost wireless 1-lead ECG monitoring system that transmits the information to the database server via the mobile network. Our designing system consists of the ECG monitoring circuit, microcontroller circuit and Android mobile phone. The microcontroller interfaces to Android mobile phone via Bluetooth protocol, and the information is transmitted to the database server via FTP protocol. The information was displayed and accessed by the web-service system via the internet protocol. The heart rate accuracy was tested by ECG simulator at different beats per minute. The maximum error and standard deviation are 0.83% and 2.35 respectively.

A development of medical equipment registration and spare part module in WepMEt system for medical equipment management in Thai hospital

Abstract: This research purposes to develop a medical equipment registration and spare part reserve module which is an important basic component in the WepMEt (Web application for medical equipment management in hospital) program set. This is a main assistive device for medical equipment management in a general hospital. This program is developed as a Web-base application tool which applying a decision supporting system, industrial engineering technique and experience in a real situation in a program development process. Those concepts are conformed in order obtain the program set that response to context and medical equipment management process in Thai and also concerning a hospital quality assurance. Synthesis process of main information for medical equipment registration system and spare part reserve system is performed by group criticizing of medical equipment management expertise. The program development is based on a rapid prototype technique. This program set is tested by recording of 3,512 items of medical equipment from 75 departments, 50 equipment types. The evaluation shows that our program set compatibly response to Firefox browser and able to attach electronic file into database and also able to create and print a bar-code for supporting a program operation.

A method for contact-free heart rate measurement on a video sequence using Simulink

Abstract: This paper presents a method for a contact-free heart rate measurement on a video sequence using Simulink. The heart rate is measured by detecting the prominent frequency of the skin-color change in a human face. As color features in a video sequence, we utilize both green and hue signals. The frequencies of the two color signals are analyzed using multiple observing times. The prominences of the Fourier spectrums of the two color signals at multiple observing times are then evaluated statistically. Finally, the heart rate measurement is conducted based on the most distinct spectrum. Experimental results show that the proposed method can perform heart rate measurement accurately in real time.

QEEG evaluation for anxiety level analysis in athletes

Abstract: There were two objectives of this paper. The first objective of this paper was to observe the brain activity of Asian athletes before the match. Second, the paper aimed to study the anxiety symptom showing on the brain via QEEG (Quantitative Electroencephalography) maps. The anxiety level for Asian athletes can be classified using the index of brain topographic map (Absolute power) relative to the normative database used for analysis. Firstly, Asian athletes have to complete revised competitive state anxiety inventory-2 (CSAI-2R) questionnaires. The Asian athletes then were recorded for their QEEG twice in 2 weeks (1 time/week) before competing in a match. In the competition, the anxiety symptom and performance of Asian athletes are observed and their feedbacks from the coach are asked. Lastly, the anxiety level is classified from results of QEEG maps, the CSAI-2R questionnaires and condition in the competition. The result of anxiety level showed that the quantity of alpha frequency band in posterior head region (parietal and occipital lobes) is less than the normal condition in term of brain topographic map. In addition, amateur Asian athletes have lower quantity of alpha frequency band than the experienced Asian athletes when the time of competition becomes nearer. Furthermore, the focal area that showed in brain connectivity (Coherence) was presented in lower interactions between position to position in the frontal lobe.

Amperometric detection of organophosphate and carbamate pesticides Based on AuNPs/graphene-PEDOT:PSS nanocomposites modified electrode

Abstract: The disposable electrochemical biosensor based on enzyme inhibition were constructed for detection of organophosphate and carbamate pesticides. The nanocomposite film of gold nanoparticles and graphene/PEDOT-PSS were prepared on the surface of screen-printed carbon based electrodes (SPCEs). Acetylcholinesterase enzyme was immobilized onto the film via cross-linking method. The composite film provides specific surface area and high conductivity. A significant synergistic effect of nanocomposites on the biosensor performance was observed in sensing of acetylthiocholine chloride and the inhibition of paraoxon and carbofuran. Graphene/PEDOT-PSS/AuNPs enhanced electron transfer reaction at a lower potential and catalyzed the electrooxidation of thiocholine. Based on the inhibition of paraoxon on the AChE activity, a Unear range of 10-400 ppb were obtained. For carbofuran determination, two Unear ranges at 0.5–10 and 200–500 ppb can be found. The developed biosensor exhibited good sensitivity and providing a good promising tool for pesticides analysis.