Voluntary Motion Research Articles

English

Tongue drive system (TDS) is a tongue operated unobtrusive assistive technology,which can potentially provide people with severe disabilities with effective access and environment control.It translate user’s intentions into control commands by detecting and classifying their voluntary tongue motion utilizing a small permanent magnet,secured on the tongue and an array of magnetic sensors mounted on the mouth the magnetic sensor are nothing but hall effect sensors. a hall effect sensor is a transducerthat varies its output voltage in response to changes in magnetic field.in its simplest form the sensor operates as an analogue transducer, directly returning a voltage. With a known magnetic field, its distance from the hall plate can be determined. Wheel chair is made up of high torque geared DC motors, the motors direction can be changed through the set of instructions given from the hall effect sensor and the action of these instructions is already loaded into the microcontroller using embedded C programming. Complete system proposed in this paper has been designed around PIC microcontroller and a RF module. The design has been tested and result achieved confirms the design approach illustrated.

Design and validation of a novel mechatronic transmission system for a wearable tremor suppression device

Traditional treatments, medication and surgery, for tremor management in Parkinson’s disease have shown varying effectiveness carry a risk of significant side effects. Recent research and development of wearable tremor suppression technology have shown a promising third solution for tremor management. This paper presents the design of a novel multi-channel mechatronic splitter (MMS) for use in wearable tremor suppression devices. This mechatronic system allows a single drive motor to support multiple independent outputs. The operation (speed and direction) of the MMS is controlled by a 2 W DC motor. This low power characteristic may provide a promising approach to achieving a prolonged operating life for wearable devices. Furthermore, the size of the MMS can be scaled proportionally according to different applications for optimal performance. This paper describes the design, modeling, implementation and characterization of the MMS. The weight of the MMS prototype is 129 g, the maximum output speed is 120 rpm, and the maximum continuous torque is 0.15 Nm. In addition, recorded tremor motion along with voluntary movement from 7 individuals with Parkinson’s disease was used to validate the performance of the MMS. The MMS was controlled to suppress tremor motion while following the voluntary movement of the subject. An average of 12.4% RMS error in voluntary motion tracking was achieved on a dynamic tremor suppression test.

Analyze the Human Movements to Help CNS to Shape the Synergy using CNMF and Pattern Recognition

The Biomedical Signals have been studied for developing human control systems to improving the quality of life. The EMG signal is one of the main types of biomedical signals. It is a convoluted signal. This signal (EMG signal) controlled by the Central nervous system (CNS). It has been a long time expected that the human central nervous system (CNS) uses flexible combinations of some muscles synergy (MS) to solve and control redundant movements. Synergy muscles activities are different in a single muscle. In the concept of Synergy muscle, the CNS does not directly control the activation of a large number of muscles. There are two main movements can help CNS to shape the synergy. The automatic body response and the voluntary actions. These activities remain not too bright. Some studies support the hypothesis that the automatic body responses could be used as a reference to familiarize the voluntary efforts. It has been validating by analyzing the human voluntary movement and the automatic mechanical motions from the muscle synergy. Based on the validation, there was a proposition that the automatic synergy motion may express some features which could support the CNS to shape the voluntary synergy motion using the nonnegative matrix factorization (NMF). Thus the target of the presenting work is to analyses the human movements from the muscle synergy to help CNS shapes the synergy movement by suggestion using the concatenated non-negative matrix factorization (CNMF) method and the pattern recognition method. Then compare the two results and see if that help CNS to shape the synergy movements and which method has more accuracy.

To study the anatomy of tympanomastoid segment of facial nerve and its variations in human cadaveric temporal bone

Introduction: The facial nerve is one of the most significant and vulnerable structures in the temporal bone. Its dysfunction affects both voluntary and voluntary motion leading to noticeable disfigurement and emotional distress to those suffering from it. Iatrogenic facial paralysis is known to be a feared complication of ear surgery, and its incidence is reported to be 0.6–3.6% in all otologic surgical procedures, which increases to 4–10% in revision cases. Objective: The aim of this study is to study the anatomical aspects of tympanomastoid segment of the facial nerve. Materials and Methods: Thirty wet human cadaveric temporal bones were dissected in the temporal bone dissection laboratory in the Department of ENT, Government Medical College, Jammu. The length of the tympanomastoid segment of the facial nerve, its relationship with important bony landmarks, and the presence of any anomaly or variation in its course were studied. Observations and Results: The mean length of the tympanic segment of the facial nerve was 10.44±1.428 mm while that of the mastoid segment was 13.33±2.202 mm. The angle formed between the tympanic and mastoid segments of the facial nerve varied between 95°and 120°with the mean angle being 104.66°±7.760°.

A síndrome da cauda equina em cães: revisão de literatura

The theme of this article is the equine tail syndrome in dogs with emphasis on treatment of the disease. The equine tail is a set of nerve roots that descends through the spinal meatus to the end of the spinal cord. This syndrome strikes mainly in large dogs. There are many degrees of involvement of hindlimbs, bladder, anal sphincter and tail, with clinical signs that vary from flabbiness until loss of the power of voluntary motion of the hindlimbs. The most authors recommend surgery by using Laminectomy, however, the conservative treatment is not ruled out. Veterinary medicine uses alternative treatment as (physioterapy), acupuncture and Chiropraxy associated to conventional treatments.

Accuracy of model-based tracking of knee kinematics and cartilage contact measured by dynamic volumetric MRI

The purpose of this study was to determine the accuracy of knee kinematics and cartilage contact measured by volumetric dynamic MRI. A motor-actuated phantom drove femoral and tibial bone segments through cyclic 3D motion patterns. Volumetric images were continuously acquired using a 3D radially undersampled cine spoiled gradient echo sequence (SPGR-VIPR). Image data was binned based on position measured via a MRI-compatible rotary encoder. High-resolution static images were segmented to create bone models. Model-based tracking was performed by optimally registering the bone models to the volumetric images at each frame of the SPGR-VIPR series. 3D tibiofemoral translations and orientations were reconstructed, and compared to kinematics obtained by tracking fiducial markers. Imaging was repeated on a healthy subject who performed cyclic knee flexion-extension. Cartilage contact for the subject was assessed by measuring the overlap between articular cartilage surfaces. Model-based tracking was able to track tibiofemoral angles and translations with precisions less than 0.8° and 0.5mm. These precisions resulted in an uncertainty of less than 0.5mm in cartilage contact location. Dynamic SPGR-VIPR imaging can accurately assess in vivo knee kinematics and cartilage contact during voluntary knee motion performed in a MRI scanner. This technology could facilitate the quantitative investigation of links between joint mechanics and the development of osteoarthritis.

Facilitating motor imagery-based brain\u2013computer interface for stroke patients using passive movement

Motor imagery-based brain–computer interface (MI-BCI) has been proposed as a rehabilitation tool to facilitate motor recovery in stroke. However, the calibration of a BCI system is a time-consuming and fatiguing process for stroke patients, which leaves reduced time for actual therapeutic interaction. Studies have shown that passive movement (PM) (i.e., the execution of a movement by an external agency without any voluntary motions) and motor imagery (MI) (i.e., the mental rehearsal of a movement without any activation of the muscles) induce similar EEG patterns over the motor cortex. Since performing PM is less fatiguing for the patients, this paper investigates the effectiveness of calibrating MI-BCIs from PM for stroke subjects in terms of classification accuracy. For this purpose, a new adaptive algorithm called filter bank data space adaptation (FB-DSA) is proposed. The FB-DSA algorithm linearly transforms the band-pass-filtered MI data such that the distribution difference between the MI and PM data is minimized. The effectiveness of the proposed algorithm is evaluated by an offline study on data collected from 16 healthy subjects and 6 stroke patients. The results show that the proposed FB-DSA algorithm significantly improved the classification accuracies of the PM and MI calibrated models (p < 0.05). According to the obtained classification accuracies, the PM calibrated models that were adapted using the proposed FB-DSA algorithm outperformed the MI calibrated models by an average of 2.3 and 4.5 % for the healthy and stroke subjects respectively. In addition, our results suggest that the disparity between MI and PM could be stronger in the stroke patients compared to the healthy subjects, and there would be thus an increased need to use the proposed FB-DSA algorithm in BCI-based stroke rehabilitation calibrated from PM.

Quantitative outcome of registration methods for correcting cardiac drift in cardiac PET/CT imaging.

Myocardial perfusion studies suffer from artifacts caused by misalignment of the transmission and emission data due to the influences of voluntary and involuntary patient motion. Regardless of G68e or respiratory‐averaged CT based attenuation correction and good patient cooperation, approximately 21% of perfusion studies exhibit artifacts arising from misalignment that cannot be corrected by manipulating the attenuation acquisition protocol. This misalignment, termed cardiac drift, is caused by slow‐moving abdominal cavity contents that reposition the heart in the thorax and appear as myocardial uptake overlying the left CT lung in fused PET/CT images. This study evaluates three postimaging registration techniques to correct PET/CT misalignment by altering the transmission map to match myocardial uptake. Simulated misalignment studies were performed with a cardiac torso phantom filled with [F18]FDG at 10:1 myocardium/background. An air‐filled saline bag affixed to the medial left lung surface served as a distensible lung. An initial CT acquisition was followed by successive PET acquisitions consisting of small displacements of the cardiac insert into the left lung. Phantom transmission scans were aligned to the myocardial uptake in the emission scans by applying 1) full rigid‐body translations and rotations, 2) rigid‐body restricted to medial / lateral and superior / inferior translation, or 3) an emission‐driven method that adds myocardial tissue to the transmission scan. These methods were also applied to 10 low‐likelihood coronary artery disease (CAD) patients showing signs of cardiac drift. Full rigid‐body registration showed significant over‐correction (p<0.004) of activity concentrations in the artifact areas of the phantom data due the relocation of highly attenuating structures (i.e., spine). Inaccurate regional activity distributions were also observed as streaks extending from the spine and these results were replicated in the patient population. There was no significant difference between the true phantom activity concentration after correction with the emission‐driven method. Misalignment corrected with the rigid‐body registration results in an increase in activity concentration but fails to accurately recover the true concentration. These data suggest that a nonlinear image registration approach such as an emission‐driven method results in a more uniform activity distribution throughout the myocardium, and is more appropriate for addressing the cardiac drift misalignment problem.PACS number(s): 87.57.uk, 87.57.Q, 87.57.nj, 87.57.C, 87.19.Hh

Springs, Nitre, and Conatus. The Role of the Heart in Hobbes's Physiology and Animal Locomotion

This paper focuses on an understudied aspect of Hobbes's natural philosophy: his approach to the domain of life. I concentrate on the role assigned by Hobbes to the heart, which occupies a central role in both his account of human physiology (which he names ‘vital motion’) and of the origin of animal locomotion (‘animal or voluntary motion’). With this, I have three goals in mind. First, I aim to offer a cross-section of Hobbes's effort to provide a mechanistic picture of human life. Second, I aim to contextualize Hobbes's views in the seventeenth-century debates on human physiology and animal locomotion. In particular, I will compare Hobbes's views with the theories put forth by Harvey, Descartes, the Galenic, and Peripatetic traditions. Also, I will show that Hobbes was receptive to advances within contemporary English physiology and chemistry. Third, by means of a comparison with Descartes, I advance some hypothesis to explain why Hobbes indentified the heart, and not the brain (as was increasingly common in his day), as the organ originating animal locomotion. In this regard, I trace out some possible implications of Hobbes's views on human physiology and locomotion for his psychology and political philosophy.

A hybrid Force Position Control for a Upper Limb Rehabilitation Robot of Series Mechanism

Interactive rehabilitation robot which has better interaction is one main method to improve the patients’ motion performance. The rehabilitation robot developed by Tsinghua University UECM for patients having weakness with shoulder and elbow should be improved by increasing interactive parts to adapt to patients’ state. This paper described one control strategy to increase the interaction between robot and patients. The hybrid force position control for the upper limb rehabilitation robot UECM was developed to improve the patients’ voluntary motion in exercises by controlling the robot to provide external forces according to the patients’ forces and motion velocity. The hybrid force position controlled robot will be used for stroke patients under different states since its interactive control method

上肢外骨格型パワーアシストロボットを用いた振戦抑制制御

Many persons suffer from tremor in daily activities. Tremor suppression devises are expected to improve the quality of life for such persons. On the other hand, power-assist exoskeletons have been developed for many purposes up to the present. Some of them can be used to suppress the tremor motion. In this paper, an on-line tremor suppression method is proposed for the suppression of the essential tremor. In the proposed method, the tremor motion (involuntary motion) and the intended motion (voluntary motion) are separated by filters. Then, an artificial neural network which consists of sinusoidal activity functions is applied. The effectiveness of the proposed method was evaluated by performing the experiments.

Wavelet analysis-based evaluation of electromyogram signal using human machine cooperation

The human body is a combination of interacting systems that can be analysed using engineering principles. It is well known that surface electromyogram signals easily acquired from surface of skin of the body using non-invasive electrodes are composed with variety of noises. Hence methods to remove noise become most significant for surface electromyogram (sEMG) signal before performing processing and analysis. In this study, wavelet analysis has been used to analyse quality of effectiveness of surface electromyogram signal. The surface electromyogram signals were estimated with the following steps: first, the obtained signal was decomposed using wavelet transform; then, decomposed coefficients were analysed by threshold methods. Daubechies wavelets (db2-db14) family for efficiently removing noise from the recorded surface electromyogram signals has been used. However, the most essential wavelet for surface electromyogram denoising is chosen by calculating the root mean square value and signal power values from different voluntary contraction motions. The combined results of root mean square value and signal power shows that wavelet db4 performs denoising best among the wavelets. Furthermore, the statistical technique of analysis of variance (ANOVA) for experimental and best wavelet coefficient was analysed to investigate the effect of muscle-force relationship for ensuring class separability.

Intracranial Facial Nerve Grafting in the Setting of Skull Base Tumors: Global and Regional Facial Function Analysis and Possible Implications for Facial Reanimation Surgery.

Reconstructive surgeons may encounter patients presenting after intracranial facial nerve resection and grafting in the setting of skull base tumors, who inquire regarding progression, final facial function, and need for future operations. Study goals were to analyze global and regional facial function using established grading systems and videography, while examine variables possibly affecting outcomes. Between 1997 and 2012, 28 patients underwent intracranial nerve grafting. Fifteen were prospectively evaluated by three facial nerve physical therapists with the Facial Nerve Grading System 2.0 and the Sunnybrook Facial Grading Score for function and the Facial Disability Index for quality of life. Still photographs and videography were used to assess quality of motion and tone, while demographic and medical variables were analyzed regarding their effect on end results. Average patient age was 41.9 years (range, 22 to 66 years), and there were 10 women and five men. Average time interval between nerve grafting and evaluations was 42.9 months (range, 12 to 146 months). Both grading scores demonstrated best outcomes in the periorbita and worst outcomes in the brow. Buccinator muscle tone also improved. The average total Facial Disability Index was 67.5 percent. Although not statistically significant, the data suggest that nerve gap length affected total resting symmetry and voluntary movement, whereas preoperative palsy and age may affect total resting symmetry. Perioperative radiation therapy, tumor type, donor nerve, and coaptation technique were not found to affect outcomes. Intracranial facial nerve grafting largely provides better resting tone and facial symmetry, potentially improving end results of future intervention; however, overall voluntary facial motion is poor. Therapeutic, IV.

Interrelationships between Time and Space in English and French discourse

This paper explores the expression of temporal boundaries in narrative discourse drawing on cartoon-elicited productions which narrate caused and/or voluntary motion events involving four types of paths. We hypothesise that the way speakers express temporal boundaries depends on the “framing” of their first language (Talmy 2000). We therefore examine productions by speakers of L1 French (V-framed language), L1 English (S-framed) and English learners of L2 French at three levels of proficiency. Productions may include aSetting sectionand aMain event. Findings show that each speaker group has its own mode of expressing temporal and spatial boundaries. The choice in L1 French depends on Path type, but not in L1 English. English learners of L2 French pattern more like L1 French speakers for verbal morphology, but their expression of space is nearly similar to their L1 English. The discussion highlights implications of this linguistic framing type for L2 acquisition.

Prehospital Spinal Immobilization: Effect of Effort on Kinematics of Voluntary Head-neck Motion Assessed using Accelerometry.

Standards for immobilizing potentially spine-injured patients in the prehospital environment are evolving. Current guidelines call for more research into treatment practices. Available research into spinal immobilization (SI) reveals a number of limitations. There are currently few techniques for measuring head and neck motion that address identified limitations and can be adapted to clinically relevant scenarios. This study investigates one possible method. Study participants were fitted with miniaturized accelerometers to record head motion. Participants were exposed to three levels of restraint: none, cervical-collar only, and full immobilization. In each condition, participants were instructed to move in single planes, with multiple iterations at each of four levels of effort. Participants were also instructed to move continuously in multiple planes, with iterations at each of three levels of simulated patient movement. Peak and average displacement and acceleration were calculated for each immobilization condition and level of effort. Comparisons were made with video-based measurement. Participant characteristics also were tracked. Acceleration and displacement of the head increased with effort and decreased with more restraint. In some conditions, participants generated measurable acceleration with minimal displacement. Continuous, multi-dimensional motions produced greater displacement and acceleration than single-plane motions under similar conditions. Study results suggest a number of findings: acceleration complements displacement as a measure of motion in potentially spine-injured patients; participant effort has an effect on outcome measures; and continuous, multi-dimensional motion can produce results that differ from single-plane motions. Miniaturized accelerometers are a promising technology for future research to investigate these findings in realistic, clinically relevant scenarios.

Biomechanical analysis of spasticity treatment in patients with multiple sclerosis.

New metrics for clinical spasticity are needed to assess motor performance, since scales such as the Ashworth and Tardieu are unreliable. Here, we assessed outcomes of baclofen treatment in patients with multiple sclerosis (MS) using biomechanical analysis of voluntary movements. Patients with MS and symptomatic limb spasticity were recruited for a pre-post baclofen titration study, along with age-matched healthy controls. Oral baclofen was titrated to optimize spasticity symptoms in all MS cases over 4 weeks. Clinical assessments included the Modified Ashworth Scale (MAS), Tardieu Scale (TS); elbow kinematics were measured via the Transient Acceleration Measurement Interface (TAMI); performance was measured as the score at 4 weeks minus the baseline score in all measures. Movement proficiency within TAMI was quantified through a scale-free smoothness measure, according to the regional excursion deviation (RED) from a constant-velocity approximant. Twelve patients with MS [age: 47.8 ± 9.8 years; women: 4; disease duration: 20 ± 10 years; disease-modifying therapy use: 7; Expanded Disability Status Scale (EDSS): 6.8 ± 1.4] and eight age-matched healthy controls were evaluated concurrently (mean age: 49.5 ± 13.1 years; women = 3). In MS cases, no significant improvement in arm spasticity was observed with main effects: MAS: -41.6 ± 72.6 (p = 0.09); EDSS: -1.6 ± 10.4% (p = 0.49); and TS: -8.3 ± 2.1% (p = 0.32), -24.9 ± 63.6% (p = 0.42), and -30.7 ± 79.9% (p = 0.06), at slow, moderate, and fast speeds, respectively. However, voluntary motion smoothness, as measured by TAMI: RED, decreased significantly: 0.62 ± 0.08 versus 0.54 ± 0.09, p < 0.001, indicating significant increase in movement smoothness post treatment. A simple biomechanical analysis of voluntary movements revealed a significant reduction of spasticity after 30 days of baclofen therapy in patients with MS that was not detected by clinical assessments.

Observações clinicocirúrgicas em fraturas e luxações vertebrais toracolombares em cães

Objetivou-se avaliar as implicações e os resultados obtidos frente aos tratamentos conservativo e cirúrgico em 37 cães sem distinção de sexo, raça ou idade, que apresentaram fraturas e luxações vertebrais (FLV) toracolombares. Cada paciente passou por anamnese, seguida por exames clínico, neurológico e radiográficos para se obter o diagnóstico neuroanatômico e a severidade da lesão. Os cães foram submetidos ao tratamento conservativo ou cirúrgico de acordo com as características de cada caso. Dos 37 animais deste estudo, 37,7% tinham percepção de dor profunda (PDP) intacta. Vinte animais foram submetidos ao tratamento conservativo, 14 ao tratamento cirúrgico e três animais faleceram antes do tratamento. Dos animais que mantiveram a PDP intacta, a taxa de recuperação foi de 100%, com tempo de recuperação total variando de sete a 75 dias, ao passo que, dos animais que perderam a PDP, nenhum recuperou a deambulação voluntária. Dos 14 animais operados, 42,8% apresentaram alterações vertebrais não visibilizadas ao exame radiográfico convencional, sendo necessária mudança na técnica cirúrgica planejada em 14,2% desses casos. Nos animais que mantiveram a PDP, não houve diferença significante nas taxas nem no tempo de recuperação da deambulação voluntária, independentemente do tipo de tratamento. Entretanto, houve diferença altamente significante entre os graus que mantiveram a PDP intacta com os animais que perderam a percepção de dor profunda em relação à taxa de recuperação. A taxa de eutanásia foi menor que em outros trabalhos descritos na literatura. Dos animais sem PDP submetidos ao tratamento conservativo ou cirúrgico, 31,25% readquiriram a capacidade de caminhar sem recuperar a PDP, sendo essa deambulação involuntária atribuída ao caminhar espinal.

A rapid approach for quantitative magnetization transfer imaging in thigh muscles using the pulsed saturation method

Quantitative magnetization transfer (qMT) imaging in skeletal muscle may be confounded by intramuscular adipose components, low signal-to-noise ratios (SNRs), and voluntary and involuntary motion artifacts. Collectively, these issues could create bias and error in parameter fitting. In this study, technical considerations related to these factors were systematically investigated, and solutions were proposed. First, numerical simulations indicate that the presence of an additional fat component significantly underestimates the pool size ratio (F). Therefore, fat-signal suppression (or water-selective excitation) is recommended for qMT imaging of skeletal muscle. Second, to minimize the effect of motion and muscle contraction artifacts in datasets collected with a conventional 14-point sampling scheme, a rapid two-parameter model was adapted from previous studies in the brain and spinal cord. The consecutive pair of sampling points with highest accuracy and precision for estimating F was determined with numerical simulations. Its performance with respect to SNR and incorrect parameter assumptions was systematically evaluated. QMT data fitting was performed in healthy control subjects and polymyositis patients, using both the two- and five-parameter models. The experimental results were consistent with the predictions from the numerical simulations. These data support the use of the two-parameter modeling approach for qMT imaging of skeletal muscle as a means to reduce total imaging time and/or permit additional signal averaging.

Stability of equilibrium in upright stance and voluntary motion control in athletes-shooters in the process of ready position and target shooting

Purpose: consists in studying the relationships between the system of equilibrium regulation in upright stance and voluntary motion control in athletes-shooters during ready position and target shooting. Material: 19 highly skilled athletes specialized in pistol shooting were studied. Physiological and biomechanical characteristics of posture and voluntary motions were assessed by methods of stabilography, electromyography and tremorometry; besides, accuracy of target shooting was registered. Results: high degree of shooting accuracy dependence on posture somatic parameters has been revealed, of which the greatest impact upon the result is exerted by low-frequency vibrations of the body general centre of mass, subjected to voluntary control. Prognostic models of shooting accuracy dependence upon the character of posture regulation during ready position and the shot have been developed. Conclusions: obtained results reveal the mechanisms of functioning and interacting of two systems of management - posture and voluntary motion. Elaborated regression models permit to model and predict posture stability and shooting accuracy during ready position and the shot.

Toward an Ultralow-Power Onboard Processor for Tongue Drive System.

The Tongue Drive System (TDS) is a new unobtrusive, wireless, and wearable assistive device that allows for real-time tracking of the voluntary tongue motion in the oral space for communication, control, and navigation applications. The latest TDS prototype appears as a wireless headphone and has been tested in human subject trials. However, the robustness of the external TDS (eTDS) in real-life outdoor conditions may not meet safety regulations because of the limited mechanical stability of the headset. The intraoral TDS (iTDS), which is in the shape of a dental retainer, firmly clasps to the upper teeth and resists sensor misplacement. However, the iTDS has more restrictions on its dimensions, limiting the battery size and consequently requiring a considerable reduction in its power consumption to operate over an extended period of two days on a single charge. In this brief, we propose an ultralow-power local processor for the TDS that performs all signal processing on the transmitter side, following the sensors. Assuming the TDS user on average issuing one command/s, implementing the computational engine reduces the data volume that needs to be wirelessly transmitted to a PC or smartphone by a factor of 1500×, from 12 kb/s to ~8 b/s. The proposed design is implemented on an ultralow-power IGLOO nano field-programmable gate array (FPGA) and is tested on AGLN250 prototype board. According to our post-place-and-route results, implementing the engine on the FPGA significantly drops the required data transmission, while an application-specific integrated circuit (ASIC) implementation in a 65-nm CMOS results in a 15× power saving compared to the FPGA solution and occupies a 0.02-mm2 footprint. As a result, the power consumption and size of the iTDS will be significantly reduced through the use of a much smaller rechargeable battery. Moreover, the system can operate longer following every recharge, improving the iTDS usability.