Oxy HB signals were analyzed using fNIRS to determine the relationship between mandibular imbalance and arm strength
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https://www.eduzhai.net American Journal of Biomedical En gineer in g 2013, 3(5): 107-118 DOI: 10.5923/j.ajbe.20130305.02 Analysis of Oxy-Hb Signals to Determine Relationship between Jaw Imbalance and Arm Strength Using fNIRS Hai Thanh Nguye n*, Hoa Van Nguye n, Khoa Quang Dang Truong, Toi Van Vo International University of Vietnam National Universities, Ho Chi M inh City, Vietnam Abstract This study is concerned with analyzing the relationship between jaw imbalance and arm strength regarding Oxy-Hb concentration changes using functional Near Infra red Spectroscopy (fNIRS). The jaw imba lance and arm act ivity, which possibly has a typical relat ion, was investigated based on Oxygen Hemoglobin (Oxy -Hb ) concentration changes. Fro m this relationship, one can find out the cause of the imbalance jaw for t reatment. Six healthy volunteers, who participated in this study, were introduced to bite on a firm spacer at one side of the jaw (left), while ho lding different a typical pull-down force by the opposite arm (right) during Oxy -Hb measurements. In addition, the subjects performed another experiment to monitor the right arm strength by putting a 40N addit ional fo rce on the same side of the jaw with bite of a spacer while holding a force of 70 N. In our method, a Sav itzky-Go lay filter was applied to remove spikes of the fNIRS Oxy-Hb data before analy zing them. Fro m the s moothed data, a Po lynomial Regression (PR) algorith m and the definite integral were emp loyed to calculate the average volu mes of Oxy -Hb concentration at brain motor zone for analy zing the relationship. Results indicated that there was the typical relationship between the jaw imbalance and arm strength through analyzing Oxy-Hb concentration changes. Keywords Polynomial Regression Model, Defin ite Integral, Oxy-Hb concentration volumes, Jaw Imbalance and Arm Strength 1. Introduction Hu man brain has a complex structure with a lot of different nerve cells which can co mmunicate fro m one to another with or without external excitations to make typical decisions (pattern recognition, cognition, motion and others) [1, 2]. In recent decades, experimental techniques such as Electroencephalogram (EEG) and functional Magnetic Resonance Imaging fM RI have been investigated processing function of human brain for treat ment or rehabilitation[3-7]. These technologies have also attracted researchers with many significant approaches to exp lore many problems related to human brain. An example of rehabilitation is that informat ion obtained fro m hu man brain using EEG technique could be employed to perform shared control of motion wheelchairs[8, 9]. A brain simu lator can lead to improve or to recover the cognitive/ motor functions of tetraplegic patients with degenerative nerve d iseases spinal cord injuries In many non-invasive techniques, fNIRS technique has been applied to measure cerebral hemodynamics as well as to detect localized b lood area and o xygen ation changes * Corresponding author: email@example.com (Hai Thanh Nguyen) Published online at https://www.eduzhai.net Copyright © 2013 Scientific & Academic Publishing. All Rights Reserved corresponding to human act ivities[10-13]. Moreover, there is no position obligation during experiment. The subject feels free for performing his or her brain activit ies. In practice, this technique has been successfully used to study human brain functions such as assessment of motor task fro m everyday liv ing, athletic performance, and recovery fro m neurological illness or assessment of verbal fluency or quantification of brain function during finger tapping. However, over recent years, there have not yet been applications using fNIRS technique employed to estimate the relationship between jaw and arm muscles. In this paper, we will analyse fNIRS data to find out the relationship between jaw and arm activ ities. It has been reported that there is a strong relationship between the temporomandibular joint, and the oral maxillofacial neck and arm muscles[17, 18]. Authors also found that the size of the jaw muscles was significantly related to the size of the limb muscles; however, maximal voluntary bite force mo ments were not significantly related to the mo ments of the arm flexion and leg extension forces. In addition, problems of jaw act ivit ies have been investigated in recent years, in which the quantification of the jaw healthy and pain muscle activities during different jaw movements (opening, chewing, closing, etc.) were performed[19-22]. In another study of finding a relationship between the height of bite plates and the strength of deltoid muscles, Chakfa et al. carried out experiments with 20 108 Hai Thanh Nguyen et al.: Analysis of Oxy-Hb Signals to Determine Relationship between Jaw Imbalance and Arm Strength Using fNIRS female subjects using the bite plates of adjusted heights of 2, 4, 6 and 13 mm and a down ward force on the wrist of the extended arm. The result was found that while increasing the height of the plate, the arm s trength increased. An imbalance in the jaws is a big problem in human body. A few researchers have investigated to find its causes, in which one of causes is that loss of strength in the contra lateral arm can relate to an imbalance jaw. In this art icle authors proposed a lever-based model to attempt to shed some light on this finding. A mechanica l model was built and the mechanis m can be represented by a weightless and rigid beam which rotates about a fulcrum placed at the center of the beam and 2 springs placed at each end of the beam. This model may constitute a basic element to build mo re elaborated models to include other reported data such EM G data and then suggest the ways to treat patients suffered from deformity. The relationship between dental occlusion and arm strength was investigated using EM G technique. In particular, measurement data were emp loyed to determine the loss of the arm strength related to the jaw and neck muscles. Khoa et al. investigated the relationship jaw imbalance and arm strength using EM G technique. In this research, a hypothesis is that an imbalance between the left and the right arm was shown in Figure 1. Authors in this paper collected EM G signals on muscles such as masseter, trapezoid, bicep and deltoid to analyse and the results showed that they found the loss of arm strength in the contralateral side during b ite of a thick spacer. In our research, we will investigate the relationship between jaw imbalance and arm s trength through fNIRS technique to find more understandings about this relationship related to Oxy-Hb concentration changes. L1 L2 F C A B F2 F1 Figure 1. The mechanical system with the jaw balances and imbalances Savitzky-Go lay filters have been used in smoothing signals and images. In the Savitzky-Go lay filters, the coefficients of the local least-square polynomial fit are pre-computed[26-28] to preserve higher movements and the output of the filter is taken at the centre of the window. In this paper, the Savavit zky -Go lay filter was applied to reduce noise as well as art ifacts of Oxy-Hb signals. Moreover, a Polynomial Regression (PR) approach has been applied for estimation of signals and images with noise[29-32]. In our research, in order to estimate Oxy-Hb signals, the PR algorith m was used to produce polynomial curves. From the Oxy-Hb curves an Oxy -Hb volu me was calculated using a definite integral a lgorithm for statistically analyzing the relationship of the jaw imbalance and the arm strong loss. 2. Material and Methods 2.1. Subjects and the Experimental Setup Brain Oxy -Hb signals were acquired fro m a FOIRE 3000 fNIRS mach ine (SHIMAZU Co. LTD, Japan), located at Lab-104 o f Bio medical Engineering Depart ment, International Un iversity, VNU, Vietnam. The FOIRE 3000 system with the eight pairs of the probes, consisting of the illu minator and detector optodes, produces 24 channels. These probes were placed on the scalp to collect fNIRS data, in wh ich the detectors were installed at a 4 cm distance from the illu minators. The optodes were arranged to install at the left he misphere on the head of the subject as shown in Figure 2. Probes A thick spacer A pulldown fNIRS machine Figure 2. FOIRE – 3000 system and probes were placed on the scalp at the left side of the human head while the subject is holding a pulldown force by the right arm The channels were determined at the motor control area fo llowing an international 10-20 system to collect fNIRS signals (see Figure 3). In particular, when the subject performs one typical activity, brain signals will be obtained fro m the fNIRS system and then calcu lated to produce three types of signals (Oxy-Hb (red), Total-Hb (green) and Deo xy-Hb (blue)) corresponding to three wavelengths (780 nm, 805 n m and 830 n m), in which[Total-Hb] =[Oxy -Hb] +[Deo xy-Hb]. Concentration changes of three signals produce time points in an output. In this research, Oxy-Hb changes are calculated in the fo llo wing formula (Shimad zu OM-200): Oxy = -3.6132*Abs[780n m]+1.1397*Abs[805n m] +3.0153*Abs[830n m] (1) in wh ich Abs: Absorbance. American Journal of Biomedical En gineer in g 2013, 3(5): 107-118 109 Figure 3. Measured positions at the left brain based on international 10-20 system (T : transmitter (Red); R: Receiver (Blue); C: Channel (Yellow)) Six male subjects (average age: 21.17±0.753 years old), participated into this study. All participants were healthy and showed no musculoskeletal or neurological restrictions or diseases. In addition, they had a complete dentition, i.e. no premo lar o r mo lar was missing in a quadrant. There were no signs of severe malocclusions and no facial malformat ions. All subjects were free of any med ication and also did not complain of any kinds of muscle pains at the time of the e xperiments . Before participating into the experiments, each subject was asked to fill out a questionnaire consisting of patient’s identification, age and gender, which was kept confidential. The tenets of the Declaration of Helsinki were followed; the local Institutional Rev iew Board approved the study. These subjects informed consent agreement after reading and understanding of the experiment protocol and the fNIRS technique. 20s 10s 20s Rest Task Rest Figure 4. Setting up Rest and T ask time of measurements Subjects were instructed to stand with their legs and arms e xtended in frontal plan and also felt stable and comfortable. The e xperimental protocol for this research started with t wo main parts: (1) the subject was installed 8 pairs of optodes (transmitters and receivers) on a scalp at the left side of the subject’s head and (2) the subject was also set up pull-down forces, a spacer thickness and added force. All subjects were introduced the protocol with Rest (20 seconds) - Task (10 seconds) - Rest (20 seconds) as shown in Figure 4. In particular, each subject with/without bite of a firm s pace was asked to hold four types of different pull-down forces (40, 50, 60 and 70 in Newtons), respectively. After that, the obtained data were calculated to produce Oxy-Hb volumes corresponding to the forces for determining the relationship between jaw imbalance and arm strength. In our algorith m, fNIRS data of each subject were obtained from 24 channels including Oxy-Hb, Deo xy-Hb and Total-Hb as shown in Figure 5. However, the significant channels of 24 channels were just collected to analysis based on an amplitude threshold based on wavelet-threshold algorith m at the motor area. These channels will be pre-processed and then averaged to produce an Oxy-Hb concentration volume which is the Oxy-Hb value at that time corresponding to a typical activity of the subject. In this research, we evaluated the activity of jaw imbalance and arm strength based on that Oxy-Hb concentration volume. 2.2. Savitzky – Golay Filter Oxy-Hb data often have noise (spikes) and artifacts. In particular, they can be generated fro m brain blood flo w or the effect of measure environment. In addition, the fNIRS technology is also less sensitive to motion artifacts which are caused by head and body movement or around environment. In order to smooth the Oxy-Hb data, a filter as the Savitzky – Go lay filter was applied in this research. A Savitzky – Go lay filter[34, 35] was emp loyed to smooth Oxy-Hb signal in the time do main. Th is filter uses a sliding window based on the samples of the Oxy-Hb signal. The simp lest digital filter replaces each data value xi, in which xi is the value of Oxy-Hb data. The method is that the linear combination of a few nearby points was carried out to obtain point values gi at the filter output. nR ∑ gi = sn xi+n (2) n = − nL where i=-nL,…,nR, and sn denotes the coefficient of the filter. In fact, the Savitzky – Golay filter was chosen with the polynomia l order of 3 and the fra me size of 11 (nL=5, nR=5) to produce Oxy-Hb data smoother (red) as shown in Figure 6a and Figure 6b. 110 Hai Thanh Nguyen et al.: Analysis of Oxy-Hb Signals to Determine Relationship between Jaw Imbalance and Arm Strength Using fNIRS Figure 5. A set of 24 fNIRS channels including Oxy-Hb (red), Deoxy-Hb (blue) and Total Oxy-Hb (green) Oxy-Hb Amplitude 0.06 0.05 0.04 0.03 0.02 0.01 0 -0.01 0 Oxy-Hb Concentration Changes (Channel-18) Original Oxygen Hemoglobin Smoothed Oxygen Hemoglobin 10 20 30 40 50 60 Time (a) American Journal of Biomedical En gineer in g 2013, 3(5): 107-118 111 0.1 0.05 Oxy-Hb Concentration Changes (Channel-18) Original Oxygen Hemoglobin Smoothed Oxygen Hemoglobin 0 Oxy-Hb Amplitude -0.05 -0.1 -0.15 -0.2 -0.25 -0.3 0 10 20 30 40 50 60 Time (b) Figure 6. Original Oxy-Hb signals (blue) and filtered Oxy-Hb signals (red) usingthe Savitzky-Golay filter, in which (a) the fNIRS signal in the case of the subject without bite of a spacer and (b) the fNIRS signal of the subject with a firm space 2.3. Pol ynomial Regression Model for Filtered fNIRS Signals 0.045 0.04 0.035 Oxy-Hb Concentration Changes (Channel-18) Smoothed Oxygen Hemoglobin Polynomial Fit 0.03 Oxy-Hb Amplitude 0.025 0.02 0.015 0.01 0.005 0 -0.005 0 10 20 30 40 50 60 Time (a) 112 Hai Thanh Nguyen et al.: Analysis of Oxy-Hb Signals to Determine Relationship between Jaw Imbalance and Arm Strength Using fNIRS 0.1 0.05 Oxy-Hb Concentration Changes (Channel-22) Smoothed Oxygen Hemoglobin Polynomial Fit 0 Oxy-Hb Amplitude -0.05 -0.1 -0.15 -0.2 -0.25 -0.3 0 5 10 15 20 25 30 35 40 45 50 Time (b) Fi gure 7. Represent at ion of t he blue filt ered signal and the red polynomial fit . in which (a) the fNIRS signal in t he case of the subject without bit e of a spacer and (b) the fNIRS signal of the subject wit h a firm space In this paper, the smoothed Oxy-Hb signal has the shape of a curve (see Figure 6b). Therefore, a Po lynomial Regression (PR) algorithm was employed to produce a fNIRS curve which enable us to calculate the area (called the volume) o f Oxy-Hb concentration for each measurement. Assume that we have the filtered two-dimensional data, (x1, g1), (x2, g2), … , (xn, gn), in wh ich each of xn (t ime) and gn (Oxy -Hb concentration) has no information about the other. Our problem will be to fit a polynomial curve generated by fNIRS data and then find out the relationship between xn and gn. The PR equation between an independent variable xn and a dependent variable gn was fitted to produce polynomial cu rv es . The model with n independent observations gˆi were built based on the PR coefficients as: ∑ gˆi = βˆ0ˆ + n βmxim + εi (3) m=1 where βˆ0 , βˆ1, βˆ2 ,..., βˆm are estimat ion values of β0 , β1, β2 ,..., βm and εi is a vector of an unobserved random error. Fro m the PR coefficients obtained fro m Equation (3), one can build a polynomial curve corresponding to Oxy-Hb concentration changes during the activated tasks. In this research, the order-3 polynomial was chosen due to the same to the shape of the Oxy-Hb signal as shown in Figure 7a and Figure 7b. Moreover, we can calculate Oxy -Hb volu mes by definite integral method. 2.4. Defini te Integral Method to Determine Oxy-Hb Volume The relationship between the jaw imbalance and arm strength to Oxy-Hb in the brain can be found if the volu mes of the Oxy-Hb concentration changes of the subject are determined during measurement tasks. In this case, fro m a polynomial curve of the Oxy-Hb determined, the volu me of the Oxy -Hb concentration changes obtained from the channels was calculated. In this research, all channels (L channels) were introduced to determine the Oxy-Hb concentration changes related to pull-down forces of the subject with/without biting on a thick spacer at the left jaw of the same side of the brain motor cortex. The Oxy-Hb average y of the channels was calculated as follo ws: ∑ ∫ y = 1 L L i=1 b gˆ i dx a (4) where[a b] is an interval of the polynomial curve (see Figures 7a and 7b). The average value of the Oxy-Hb concentration changes of each subject determined in experiments allows us to determine the relationship between the jaw imbalance and arm s trength. 3. Results 3.1. Experi ment 1: Subjects with Bite on a S pacer at the Left Jaw While Hol ding a Pull-down Force at the Right Arm In this experiment, six subjects were invited to do experiments. Each subject with/without bite of a firm spacer American Journal of Biomedical En gineer in g 2013, 3(5): 107-118 113 was asked to hold four types of different pull-down forces (40, 50, 60 and 70 in Newtons), respectively. The Oxy-Hb data filtered by the Savitzky -Go lay filter were calculated to produce polynomial curves using the PR algorith m and then the polynomia l curves were integrated to obtain the Oxy-Hb v o lu mes . In the first case, six subjects without bite of the firm spacer, while holding four pull-down forces, respectively. Figure 8 showed the curves which represented the Oxy -Hb volu mes synchronously changing with four types of the forces (40, 50, 60 and 70 in Newtons). volume curve and Figure 11 showed the result of three cases. In these experiments, with the same forces, the Oxy-Hb volume curves gradually reduce corresponding to the increasing of the thick spacers fro m 0 mm to 3 mm. Figure 10. Oxy-Hb volumes of six subjects with biting on a 3 mm spacer Figure 8. Oxy-Hb volumes of six subjects without biting on a spacer corresponding to four different forces Figure 11. The representation of Oxy-Hb mean volumes of six subjects with biting on the spacers of 0 mm, 2 mm and 3 mm, respectively Figure 9. Oxy-Hb volumesof six subjects with biting on a spacer of 2 mm In order to monitor the Oxy -Hb changes of subjects with different spacers, these subjects were asked to bite on two spacers, 2 mm (see Figure 9) and 3 mm (see Figure 10), while asking for pulling four forces down, respectively. For statistical analysis of six subjects, in each case, the obtained results were averaged to produce an Oxy-Hb Table 1 showed the mean values with the standard deviation for three cases of bite and pulling forces. This allo ws us to more clearly understand Oxy-Hb concentration changes corresponding to each pull-down force and their standard deviation. Figure 12 shows that when subjects were not introduced to bite on a spacer and held forces, Oxy-Hb concentration volumes are positive. Inversely, the subjects with bite of the thick spacers have negative Oxy -Hb volu mes in brain blood. This means that when the subject bites on a spacer, Oxy-Hb concentration volume highly reduces. In another comparison, while biting on a thicker spacer at the jaw, Oxy-Hb volu me of the subject is more positive. Table 1. The mean values with standard deviat ion (SD) of the Oxy-Hb concentrat ion volume VS Force of all subjects Force (N) Oxy-Hb volume (mmol/L) (Bite_0 mm) Oxy-Hb volume (mmol/L) (Bite_2 mm) Oxy-Hb volume (mmol/L) (Bite_3 mm) 40 0.102±0.051 -0.48±0.377 -0.633±0.395 50 0.146±0.042 -0.392±0.368 -0.575±0.404 60 0.22±0.065 -0.311±0.326 -0.471±0.398 70 0.196±0.065 -0.368±0.388 -0.546±0.495 114 Hai Thanh Nguyen et al.: Analysis of Oxy-Hb Signals to Determine Relationship between Jaw Imbalance and Arm Strength Using fNIRS particular, Oxy-Hb signals of 24 channels were processed to display brain images with different colors, which represent Oxy-Hb changes as shown in Figure 13. On these brain images, there are color dots corresponding to channels (yello w), the optical transmitters (red) and the optical receiver (blue). Figure 12. The representation of the Oxy-Hb concentration changes in three cases (0 mm, 2 mm and 3 mm) In summary, the results are that there is the change of Oxy-Hb volu mes related to pull-down forces. This possibly leads to a typical relationship between the left jaw imba lance and the right arm strength. It means that the jaw imbalance can lose the pull-down force of the arm. In addit ion, the decrease of Oxy-Hb volu mes (considered fro m the 60 N force to the 70N) for all three cases of the subjects with/without bite of a spacer thickness can be an interesting point. The reason for this is that 70N is the nearly maximu m force, which the subject can hold. Therefore, the effort to hold a large pull-down force generates this phenomenon. - Red: transmitter - Blue: receiver - Yellow: channels - Red →Yellow→Blue (Color is the representation of Oxy-Hb change in blood) 3.2. Experi ment 2: Adding a Force of 40 N to the Opposite Ar m This experiment is to observe the change of the Oxy-Hb concentration allowing us to get more evidences about the change of the Oxy-Hb concentration related to the right arm force. In order to obtain results, six subjects were introduced to bite on spacers (2 mm and 3 mm) at the left jaw, respectively, while hold ing a 70 N force and putting at the left shoulder a 40 N fo rce. The result is that Oxy-Hb volu me lightly increases back compared with the case of no force of 40 N at the left shoulder as shown in Table 2. The increase means that the force of the lift ing arm (right) could lightly increase so that the subject is easier, (an increasing typical force) while holding a 70 N heavy force. The observation based on fNIRS technology allows us to predict that there is the Oxy-Hb concentration in relation to jaw and arm activ ities . Figure 13. Representation of the brain images based on Oxy-Hb channels, in which color changes correspond to Oxy-Hb changes In order to estimate about the relationship between jaw imbalance and arm activity, Subject-1 of six subjects to represent Oxy-Hb changes at motor zone in hu man brain. The result is that four images represent Oxy-Hb changes of the subject without bite wh ile hold ing the forces (40, 50, 60 and 70 in Newtons), respectively, (see Figure 14). In similarity, the result of the same subject with b ite of a 3 mm spacer is showed in Figure 15. Table 2. The mean and SD values of the Oxy-Hb concentration changes of six subjects with spacers (2 mm and 3 mm) Force (N) No addition of 40N addition of force force Oxy-Hb volume (mmol/L) (Bite_2 mm) -0.386±0.388 -0.359±0.364 40N 50N Oxy-Hb volume (mmol/L) (Bite_3 mm) -0.546±0.495 -0.193±0.271 3.3. Experi ment 3: Representing Oxy-Hb Concentration Changes Based on In relat ion to analysis of the relationship between jaw imbalance and arm strength, we did the third experiment. In 60N 70N Figure 14. The brain images of Subject-1 without bite of a thick spacer while asking to hold the pull-down force American Journal of Biomedical En gineer in g 2013, 3(5): 107-118 115 40N 50N 60N 70N Figure 15. The brain images of Subject-1 with bite of a 3 mm thick spacer while asking to hold the pull-down force The representation of these brain images based on the Oxy-Hb channels of Subject-1 created some significant points. The first point is that the Oxy-Hb concentration in the case of bite is much more decreasing than that in the case of no bite on a spacer, particularly the blue color (bite) appears in brain images (see Figure 15). While the yello w color change of brain images as shown in Figure 14 represents the Oxy-Hb increasing. Therefore, one can distinguish cases of the subject with/without bite of a spacer based on these brain images. This can consider as an evidence for analyzing Oxy-Hb changes related to the jaw imbalance and arm strength activities. 4. Discussion In this study, we have shown that the changes of Oxy -Hb concentration in hu man brain blood flo w depend on the pull-down forces and the b ite of different spacers using fNIRS technique. In addit ion, potentials of arm strength loss relate to jaw imbalance, as well as the increasing of the arm strength can be performed by adding a force on the opposite arm. Finally, fNIRS images were shown to strongly see that the Oxy-Hb concentration always changes during biting on a spacer at the left jaw and holding a force by the right arm. Understandi ng of jaw and arm acti vi ties based on fNIRS s ig nals In the normal occlusion, the Oxy -Hb concentration changes significantly increased according to the increasing of an applied-fo rce. Therefore, it is clear that the levels of Oxy-Hb changes in motor cortex depend on the applied-force o f the arm. It is possible that the neuron activities in motor cortex involved in the function of arm muscles. There are some studies also suggested that the neuronal activity in motor cortex is tightly coupled to muscle output. Neurons in motor cortex are active in correlat ion with a range of movement parameters including the movement direction of the hand through space, velocity, force, joint angle, and arm posture[36-40]. For every muscles activ ity, cells need a flo w of o xygen in to support their activ ities. Oxygen related with Hemoglobin so when we do experiments, o xygen rushes into the place where we use the muscle so the arm muscles require more Oxygen supplies when it contracts strongly. Arm strength loss potenti al due to jaw i mbalance In the imbalance occlusion, we considered both jaw and arm activit ies. In three above experiments, subjects without biting on a thick spacer (the normal jaw) and with b iting on the thick spacers of 2 mm and 3 mm (called an imbalance at the jaw) at the left jaw held d ifferent pull-down forces for recording Oxy -Hb concentration changes, respectively. In these three cases, the variation of Oxy-Hb concentration is different. In particu lar, Oxy-Hb concentration lightly reduces following the increasing of the spacer thickness at the jaw. This can allow us to predict that the jaw imbalance can affect to arm strength. In other words, the jaw imbalance poss ibly causes the loss of the arm strength. Arm strength increasing related to added force of the opposite arm It is clear that when the subject holds the large pull-dowm force, Oxy -Hb concentration in b rain b lood partly flows to the arm to create enough force for lifting a large weight. In the case of the subject with bite of a spacer, the Oxy-Hb is decreased. This means that there is the relation to the activity of brain-jaw-arm. In another experiment, when the subject with bit ing on the 2 mm o r 3 mm thick spacers at the left jaw is holding a 70 N force by the right arm side. At the same time, a 40 N force is added to the left shoulder, the Oxy-Hb concentration in hu man brain increases back co mpared with the case of not adding the force of 40 N. Th is means that the right arm strength is lightly increased. Therefore, we possibly found that Oxy-Hb concentration always changes between the jaw and arm in the brain b lood flows under controlling the brain system. Thus, one could predict that the jaw imbalance can affect to the loss of the arm strength or inversely the arm strength loss can be affected by the imbalance of jaw. Understandi ng jaw i mbal ance and arm based on fNIRS images The activit ies of the jaw imbalance and arm muscle related to the Oxy-Hb in brain blood as well as electrodes were also represented through fNIRS images. In particular, Oxy-Hb concentration changes containing the activities of jaw and arm muscles were described by different co lors. Based on the colors, one can know the Oxy-Hb changes in the body motions and then give estimates and predictions. Therefore in this study, we determined the case of the imba lance jaw or normal jaw based on the changes of the Oxy-Hb flowing in brain blood. Similarly, we could recognize the change of the arm strength through the change of the Oxy-Hb concentration. In previous researches, authors investigated jaw muscles 116 Hai Thanh Nguyen et al.: Analysis of Oxy-Hb Signals to Determine Relationship between Jaw Imbalance and Arm Strength Using fNIRS relative to other muscles such as arms, legs, neck etc.[15, 18-21]. In one o f these investigations, Wang et. Al. measured jaw imbalance, neck and arm muscles using the EM G technique on subjects to determine their relat ionship between them. In addit ion, authors showed jaw muscles related to alternative parts of human body. Brinkworth et al. investigated the response of the masseter and digastric muscles by the stimu lation of the upper left central incisor . This study found that there are proble ms of jaw refle xes when stimulat ing the tooth in either the orthogonal or axial directions. In the study about jaw muscles related to human motions such as walking and running, M iles et al. d id experiments by measuring mandibular movements and mas seter muscles in humans to determine the problem of jaw position during loco motion and then considered reflex responses in the masseter EM G. The result was found that the mandible had faster and larger displacements in the jaw-closing muscles during running. In this study with fNIRS technique used to measure Oxy-Hb changes in brain blood, when the subject without bite of a spacer is holding a pull-down force, immediately a typical Oxy -Hb vo lu me increases. We did experiments with different forces many times. The result is that the obtained Oxy -Hb concentration strongly changed corresponding to the change of the pull-down force. In the previous research, Khoa et al. also analyzed the relationship between the jaw imbalance and arm strength using EM G signals, in which a hypothesis related to a balance between the left and the right arm was shown in Figure 1. When there could be an imbalance of the jaw, the arm strength is possibly lost through investigating EM G signals. In order to understand more about this relationship, fNIRS technique, which is non-invasive, was used in this study. Our hypothesis is that whenever the jaw imbalance occurs, the Oxy -Hb signal of the control cortex area will be reduced. The fNIRS technique was applied to measure Oxy-Hb concentration changes in human brain when the subject is introduced to bit on a thick space while holding a typical pull-down force. Obtained results in this research allo w us to understand more about losing the arms strength due to the biomechanical effects of the jaw imba lance. 5. Conclusions showed that whether jaw imbalance is the main cause of the arm strength loss or not for diagnosis and treatment of jaw imbalance patients. ACKNOWLEDGEMENTS We would like to thank Vietnam Nat ional Foundation for Science and Technology Development-NAFOSTED for supporting research grant No. 106.99-2010.11. Furthermo re research was partly supported by a research fund fro m the Vietnam National University in Ho Chi M inh City. Finally, an honorable mention goes to our volunteers, families and friends for their supports on us in comp leting this project. REFERENCES  J. Wolpaw, N. Birbaumer, D. M cFarland, G. Pfurtschellere, and T. Vaughan, "Brain-computer Interfaces for Communication and Control," Clinical Neurophysiology, pp. 767-791, 2002.  C. Guger, W. Harkam, C. Hertnaes, and G. Pfurtscheller, "Prosthetic Control by an EEG-based Brain-Computer Interface (BCI)," IEEE Transactions on Robotics, vol. 21, 2005.  B. Blankertz, G. Dornhege, M . Krauledat, K.-R. M üller, V. Kunzmann, F. Losch, and G. Curio, "The Berlin Brain-Computer Interface:EEG-Based Communication Without Subject Training," IEEE Transactions on Neural Systems And Rehabilitation Engineering, vol. 14, pp. 147-152, 2006.  N. Ince, F. Goksu, A. Tewfik, and S. Arica, "Adapting Subject Specific M otor Imagery EEG Patterns in Space-time -frequency for a Brain Computer Interface," Biomedical Signal Processing and Control, pp. 236-246, 2009.  N. Weiskopf, F. Scharnowski, R. Veit, R. Goebel, N. Birbaumer, and K. M athiak, "Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fM RI)," Journal of Physiology, pp. 357-373, 2004.  C.-C. Chuang, Y.-T. Lee, C.-M . Chen, Y.-S. Hsieh, T.-C. Liu, and C.-W. Sun, "Patient-oriented simulation based on M onte Carlo algorithm by using M RI data," Chuang et al. BioMedical Engineering OnLine 2012, 11:21, vol. 11, pp. 1-15, 2012. In this paper, a protocol, which plays an important role in data acquisition, was built for a pool of six subjects. For analyzing Oxy -Hb signals, the Sav itzky Go lay was applied to smooth Oxy-Hb signals obtained from fNIRS channels. The smoothed signals were calculated to produce Oxy-Hb volumes using polynomial regression and integral algorith ms. After analy zing Oxy -Hb volu mes, we found that there is the sharing of Oxy-Hb concentration fro m brain into some place, particularly the Oxy -Hb in the brain blood flows into the jaws and arms. This also indicates that fNIRS tools allo w us understand more about the relationships between jaw imbalance and arm strength. Moreover, the results  C.-C. Kuo, J. L. Knight, C. A. Dressel, and A. W. L. Chiu, "Non-Invasive BCI for the Decoding of Intended Arm Reaching M ovement in Prosthetic Limb Control," American Journal of Biomedical Engineering, vol. 2, pp. 155-162, 2012.  K. Tanaka, K. M atsunaga, and H. O. Wang, "Electroencephalogram-Based Control of an Electric Wheelchair," IEEE Transactions on Robotics, vol. 21, 2005.  K. S. Ahmed, "Wheelchair M ovement Control VIA Human Eye Blinks," American Journal of Biomedical Engineering, vol. 1, pp. 55-58, 2011.  S. Lloyd-Fox, A. Blasi, and ElwellCE, "Illuminating the
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