• Title/Summary/Keyword: bio-muscle signal

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Prediction of the Upper Limb Motion Based on a Geometrical Muscle Changes for Physical Human Machine Interaction (물리적 인간 기계 상호작용을 위한 근육의 기하학적 형상 변화를 이용한 상지부 움직임 예측)

  • Han, Hyon-Young;Kim, Jung
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.10
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    • pp.927-932
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    • 2010
  • Estimation methods of motion intention from bio-signal present challenges in man machine interaction(MMI) to offer user's command to machine without control of any devices. Measurements of meaningful bio-signals that contain the motion intention and motion estimation methods from bio-signal are important issues for accurate and safe interaction. This paper proposes a novel motion estimation sensor based on a geometrical muscle changes, and a motion estimation method using the sensor. For estimation of the motion, we measure the circumference change of the muscle which is proportional to muscle activation level using a flexible piezoelectric cable (pMAS, piezo muscle activation sensor), designed in band type. The pMAS measures variations of the cable band that originate from circumference changes of muscle bundles. Moreover, we estimate the elbow motion by applying the sensor to upper limb with least square method. The proposed sensor and prediction method are simple to use so that they can be used to motion prediction device and methods in rehabilitation and sports fields.

Wireless Bio-Signal Sensing System Using a Circular Polarized Antenna

  • Kwon Young-Bae;Park Jung-Min;Choe Jung-Hwan;Park Seong-Ook;Ishida Osami
    • Journal of electromagnetic engineering and science
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    • v.5 no.3
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    • pp.132-139
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    • 2005
  • Wireless bio-signal sensing system, which is based on the principle of Doppler radar, can measure a respiration and heart rates with a periodic movement of skin and muscle near the heart. Though the sensing monostatic system using a circulator has been studied, this bistatic system can be improved by using a circular polarized antenna which has a high isolation between transmitter and receiver. In this paper, we measured the bio-signal without the direct contact with the person. The design of each system and experimental results are discussed.

Prosthetic arm control using muscle signal (생체 근육 신호를 이용한 보철용 팔의 제어)

  • Yoo J.M.;Kim Y.T.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1944-1947
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    • 2005
  • In this paper, the control of a prosthetic arm using the flex sensor signal is described. The flex sensors are attached to the biceps and triceps brchii muscle. The signals are passed a differential amplifier and noise filter. And then the signals are converted to digital data by PCI 6036E ADC. From the data, position and velocity of arm joint are obtained. Also motion of the forearm - flexion and extension, the pronation and supination are abstracted from the data by proposed algorithm. A two D.O.F arm with RC servo-motor is designed for experiment. The arm length is 200 mm, weight is 4.5 N. The rotation angle of elbow joint is $120^{\circ}$. Also the rotation angle of the wrist is $180^{\circ}$. Through the experiment, we verified the possibility of the prosthetic arm control using the flex sensor signal. We will try to improve the control accuracy of the prosthetic arm continuously.

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The Effects of Using a Pressure Bio-feedback Unit and a Pelvic Belt on Selective Muscle Activity in the Hip Abductor during Hip Abduction Exercise (엉덩 관절 벌림 운동 시 압력 생체 되먹임 장치와 골반 벨트의 사용이 엉덩 벌림근의 선택적 근 활성도에 미치는 영향)

  • Lee, Dong-Kyu;Moon, Se-Na;Noh, Kyung-Hee;Park, Kyung-Hee;Kim, Tae-Ho;Oh, Jae-Seop
    • Journal of the Korean Society of Physical Medicine
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    • v.6 no.3
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    • pp.323-330
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    • 2011
  • Purpose : The purpose of this study was to examine the effects of using a pressure bio-feedback unit (PBFU) and a pelvic belt (PB) on the electromyographic (EMG) signal amplitude of the gluteus medius (Gmed) and the quadratus lumborum (QL) during hip abduction exercise when lying on the side. Methods : Twenty able-bodied volunteers (10 male, 10 female) were recruited for this study. The EMG signal amplitude was randomly measured during hip abduction with preferred hip abduction (PHA), with PBFU, and with PB. The surface EMG signal was recorded from the Gmed and the QL. Data were analyzed using a one-way repeated ANOVA. Results : Muscle activity of Gmed was significantly higher in PBFU and in PB than in PHA (p<.05). There were no significant difference between PBFU and PB(p>.05). Muscle activity of the QL was significantly lower in PB than in PHA(p<.05). The Gmed/QL muscle activity ratio was also significantly higher in PBFU and in PB than in PHA(p<.05), with no significant difference between PBFU and PB (p>.05). Conclusion : Based on these findings, using a PBFU and a PB is an effective method to disassociate QL use from Gmed use during hip abduction exercises when lying on the side.

Actuation of Artificial Muscle Based on IPMC by Electromyography (EMG) Signal

  • Lee, Myoung-Joon;Jung, Sung-Hee;Moon, In-Hyuk;Lee, Suk-Min;Mun, Mu-Sung
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1173-1178
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    • 2005
  • This paper proposes an IPMC actuating system with a bio-mimetic function. EMG signals generated by an intended contraction of muscles in forearm are used for the actuation of the IPMC. To obtain higher actuation force of the IPMC, the single layered as thick as 800 [${\mu}$m] or multi-layered IPMC (Nafion) of which each layer can be as thick as 178 [${\mu}$m] are prepared. The experimental results using an implemented IPMC control system show a possibility and a usability of the bio-mimetic artificial muscle.

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A Study of Diagnostic Algorithm for Quantitative Evaluation of the Stress Urinary Incontinence (복압성요실금의 정량적 평가를 위한 진단 알고리즘에 관한 연구)

  • Min, Hae-Ki;Noh, Si-Cheol;Choi, Heung-Ho
    • Journal of IKEEE
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    • v.12 no.2
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    • pp.87-94
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    • 2008
  • Pelvic floor muscle is the main subsystem that maintains urinary continence. It is possible to diagnose the degree of the stress urinary incontinence(SUI) by evaluating the contraction pressure of the pelvic floor muscle. Bio-signal measurement system was developed to measure the contraction pressure. Diagnostic parameters were drawn out by analyzing the measured data. Statistical evaluations were done to classify the all subjects with five groups each has similar characteristics. SUI diagnostic algorithm was implemented to each group separately. The accuracy of the algorithm was about 78.9% and utility was confirmed by clinical trial.

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Development of Intelligent Powered Gait Orthosis for Paraplegic

  • Kang, Sung-Jae;Ryu, Jei-Cheong;Moon, In-Hyuk;Kim, Kyung-Hoon;Mun, Mu-Seung
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1272-1277
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    • 2005
  • In this study, we wolud be developed the fuzzy controlled PGO that controlled the flexion and the extension of each PGO's joint using the bio-signal and FSR sensor. The PGO driving system is to couple the right and left sides of the orthosis by specially designed hip joints and pelvic section. This driving system consists of the orthosis, sensor, control system. An air supply system of muscle is composed of an air compressor, 2-way solenoid valve(MAC, USA), accumulator, pressure sensor. Role of this system provide air muscle with the compressed air at hip joint constantly. According to output signal of EMG sensor and foot sensor, air muscles and assists the flexion of hip joint during PGO gait.

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Analysis of the Coordination Relationship and Muscle Fatigue of Agonist and Synergist During Dumbbell Side Lateral Raise Using Biosignals (생체신호를 이용한 덤벨 사이드 레터럴 레이즈 시 주동근과 협력근의 협응 관계 및 근피로 분석)

  • Jong min Kim;Chang hyun Song;Jun won Choi ;Han Sung Kim
    • Journal of Biomedical Engineering Research
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    • v.44 no.3
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    • pp.218-224
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    • 2023
  • This study aimed to analyze the coordination of muscle and muscle fatigue between biceps, lateral deltoid, and anterior deltoid during dumbbell side lateral raise using bio-signal. One male subject performed dumbbell side lateral raise with 3% of 1RM dumbbell at the rate of 30bpm until failure (8 minutes). While performing, ECG were recorded to observe the participant's performance. EMG were recorded from biceps, lateral deltoid, and anterior deltoid for observing coordination and fatigue. ECG were analyzed in time and frequency domain to observe Heart rate, normLF, normHF. Changes in heart rate, normLF, and normHF indicate that the sympathetic nervous system is activated, while changes in median frequency (MDF) indicate the occurrence of muscle fatigue. Moreover, the coordination relationship of muscle changed. The correlation of MDF between each muscles indicated that lateral deltoid is associated with biceps and anterior deltoid. These results showed that our study can contribute to improving understanding of muscle fatigue and muscle coordination relationships.

Design of Computer Access Devices for Severly Motor-disability Using Bio-potentials (생체전위를 이용한 중증 운동장애자들을 위한 컴퓨터 접근제어장치 설계)

  • Jung, Sung-Jae;Kim, Myung-Dong;Park, Chan-Won;Kim, Il-Hwan
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.11
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    • pp.502-510
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    • 2006
  • In this paper, we describe implementation of a computer access device for the severly motor-disability. Many people with severe motor disabilities need an augmentative communication technology. Those who are totally paralyzed, or 'locked-in' cannot use conventional augmentative technologies, all of which require some measure of muscle control. The forehead is often the last site to suffer degradation in cases of severe disability and degenerative disease. For example, In ALS(Amyotrophic Lateral Sclerosis) and MD(Muscular dystrophy) the ocular motorneurons and ocular muscles are usually spared permitting at least gross eye movements, but not precise eye pointing. We use brain and body forehead bio-potentials in a novel way to generate multiple signals for computer control inputs. A bio-amplifier within this device separates the forehead signal into three frequency channels. The lowest channel is responsive to bio-potentials resulting from an eye motion, and second channel is the band pass derived between 0.5 and 45Hz, falling within the accepted Electroencephalographic(EEG) range. A digital processing station subdivides this region into eleven components frequency bands using FFT algorithm. The third channel is defined as an Electromyographic(EMG) signal. It responds to contractions of facial muscles and is well suited to discrete on/off switch closures, keyboard commands. These signals are transmitted to a PC that analyzes in a time series and a frequency region and discriminates user's intentions. That software graphically displays user's bio-potential signals in the real time, therefore user can see their own bio-potentials and control their physiological signals little by little after some training sessions. As a result, we confirmed the performance and availability of the developed system with experimental user's bio-potentials.

Development of Fuzzy Control Method Powered Gait Orthosis for Paraplegic Patients (하반신 마비환자를 위한 동력보행보조기의 퍼지제어 기법 개발)

  • Kang, Sung-Jae;Ryu, Jei-Cheong;Kim, Gyu-Suk;Kim, Young-Ho;Mun, Mu-Seong
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.2
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    • pp.163-168
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    • 2009
  • In this study, we would be developed the fuzzy controlled PGO that controlled the flexion and the extension of each PGO's hip joint using the bio-signal and FSR sensor. The PGO driving system is to couple the right and left sides of the orthosis by specially designed hip joints and pelvic section. This driving system consists of the orthosis, sensor, control system. An air supply system of muscle is composed of an air compressor, 2-way solenoid valve (MAC, USA), accumulator, pressure sensor. Role of this system provide air muscle with the compressed air at hip joint constantly. According to output signal of EMG sensor and foot sensor, air muscles and assists the flexion of hip joint during PGO gait. As a results, the maximum hip flexion angles of RGO's gait and PGO's gait were about $16^{\circ}\;and\;57^{\circ}$ respectively. The maximum angle of flexion/extention in hip joint of the patients during RGO's gait are smaller than normal gait, because of the step length of them shoes a little bit. But maximum angle of flexion/extention in hip joint of the patients during PGO's gait are larger than normal gait.