Jie Jia

AIMST University | AIMST · School of Engineering

Energy efficiency (EE) has become a key performance indicator in designing future wireless networks. In this regard, we propose a novel two reconfigurable intelligent surfaces (RISs) assisted coordinated multipoint (CoMP) network, where two RISs cooperate to reduce energy consumption by constructing an intelligent radio environment. Aiming to maxim...

Unmanned aerial vehicles (UAVs) have been envisioned as essential technology to enhance the service quality of wireless systems, whereas the security issue is unavoidable. In this paper, a reconfigurable intelligent surfaces (RIS)-aided air-to-ground secure communication paradigm is conceived, where the RIS is used to boost the security of confiden...

Objective: This study aimed to summarize the clinical applications of BFR training for neurological disorders, assess its effectiveness and safety in improving muscle condition and functional outcomes. Methods: The systematic review and meta-analysis followed PRISMA guidelines. PubMed, Embase, PEDro, Cochrane, CINAHL, CNKI were searched for interv...

Background and Objectives With the global population aging at an unprecedented pace, the imminent surge in falls and fall-induced injuries necessitates urgent attention. Innovative assistive technologies are crucial in addressing this daunting challenge. This study aimed to evaluate the mechanical properties, efficacy, safety, and user experience o...

Background In-home rehabilitation systems are a promising, potential alternative to conventional therapy for stroke survivors. Unfortunately, physiological differences between participants and sensor displacement in wearable sensors pose a significant challenge to classifier performance, particularly for people with stroke who may encounter difficu...

Unmanned aerial vehicle (UAV) assisted communications have been regarded as an effective solution to provide instant services. This paper proposes a novel reconfigurable intelligent surface (RIS) assisted multi-UAV system, where ground users are formed as multicast groups and served by multiple UAVs with coordinated multi-point technique. The goal...

The face of a humanoid robot can affect the user experience, and the detection of face preference is particularly important. Preference detection belongs to a branch of emotion recognition that has received much attention from researchers. Most of the previous preference detection studies have been conducted based on a single modality. In this pape...

As wireless networks continue to advance, virtual reality (VR) transmission over wireless connections is progressively transitioning from concept to practical application. Although this technology can significantly enhance the VR user experience, its development bottleneck lies in the computing capacity of devices and transmission latency. Consider...

Mirror therapy (MT) has been proposed to promote motor recovery post-stroke through activation of mirror neuron system, recruitment of ipsilateral motor pathways, or/and increasing attention toward the affected limb. However, neuroimaging evidence for these mechanisms is still lacking. To uncover the underlying mechanisms, we designed a randomized...

A reconfigurable intelligent surface (RIS) assisted semi-grant-free (SGF) non-orthogonal multiple access (NOMA) system is investigated. Unlike existing works that only focus on short-term resource allocation, we study a long-term power-saving optimization problem under queue stability constraints and utilize Lyapunov stability theory to deal with d...

This paper presents a novel simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) assisted mobile edge computing (MEC) system. We employ the semi-grant-free (SGF) non-orthogonal multiple access (NOMA) to improve the system's spectrum and energy efficiency, and the STAR-RIS to enhance the uplink communication from...

Integrated sensing and communication (ISAC) has been regarded as an emerging technique to satisfy the sensing requirements for future 6G networks. However, the confidential communication information embedded in the probing waveform could be eavesdropped by the radar targets, which leads to insecurity issues for ISAC systems. To this end, we propose...

Mirror therapy is proposed to enhance post-stroke awareness of the affected limb and mental ability, but convincing evidence on the perceptuo-motor processes is insufficient. In this study, we aimed to investigate the longitudinal effect of mirror therapy on limb perception and early motor processes in stroke patients using the hand mental rotation...

Heterogeneous cellular networks (HetNets) are widely recognized as representing the future development trend of networks and provide architectural support for the emergence of many new applications. For applications that are sensitive to reliability, carrier aggregation (CA) plays a crucial role in optimizing system performance by intelligently com...

Objective To analyze the changes of neural activity intensity and brain functional network in brain functional areas after the decrease of CRF in stroke patients by using resting-state fMRI, so as to find the possible brain areas of CRF in stroke patients. Methods Twenty-two stroke patients were recruited according to the inclusion criteria of the...

Background Dual transcranial direct current stimulation (tDCS) over the bilateral primary somatosensory cortex (PSC) has potential benefits in stroke. In addition, compared with traditional rehabilitation training, sensorimotor training can significantly improve the sensorimotor function of patients. However, the efficacy of dual‐tDCS combined with...

The explosion of wireless network services has led to a need for new technologies and resource allocation schemes. Device-to-device (D2D) can reduce the access pressure of base station (BS) equipment, and non-orthogonal multiple access (NOMA) can multiplex network spectrum resources. The integration of them can further improve the performance of mu...

Coordinated multi-point (CoMP) transmission allows multiple base stations (BSs) to transmit the same signal to users simultaneously at the same resource block for higher throughput. It can be applied to the evolved Multimedia Broadcast/Multicast Service (eMBMS) framework to provide additional gains for users in the same multicast group. However, op...

Hand function assessment is an essential component of the process of stroke rehabilitation because of the high incidence of hand motor dysfunction. In terms of the manual evaluation of hand function, the Fugl‐Meyer scale is a recommended scale with high reliability and validity. However, the need for accurate assessments and increasing developments...

Localization based on fingerprint has been viewed as a popular indoor localization technique, which uses the signal strength of different positions as the location fingerprint. The localization model can thus be constructed by analyzing the relationship between the location fingerprint and the target location. However, this method requires the manu...

Device-to-device (D2D) communication has been regarded as a promising solution to alleviate the mobile traffic explosion problem for its capabilities of improving system data rate and resource utilization. A reconfigurable intelligent surface (RIS) aided mobile D2D communications framework is investigated, where the RIS is deployed to improve commu...

With the development of brain-computer interfaces (BCI) technologies, EEG-based BCI applications have been deployed for medical purposes. Motor imagery (MI), applied to promote neural rehabilitation for stroke patients, is among the most common BCI paradigms that. The Electroencephalogram (EEG) signals, encompassing an extensive range of channels,...

Background The activation patterns and functional network characteristics between stroke survivors and healthy individuals based on resting-or task-state neuroimaging and neurophysiological techniques have been extensively explored. However, the discrepancy between stroke patients at different recovery stages remains unclear. Objective To investig...

Background Globally, more than 10 million new stroke cases occur annually, of which aphasia accounts for about one-third. Aphasia has become an independent predictor of functional dependence and death for the stroke population. The closed-loop rehabilitation of combining behavioral therapy with central nerve stimulation seems to be the research tre...

A brain-computer interface (BCI) system and virtual reality (VR) are integrated as a more interactive hybrid system (BCI-VR) that allows the user to manipulate the car. A virtual scene in the VR system that is the same as the physical environment is built, and the object's movement can be observed in the VR scene. The four-class three-dimensional (...

Background Brain–computer interfaces (BCIs) have been proven to be effective for hand motor recovery after stroke. Facing kinds of dysfunction of the paretic hand, the motor task of BCIs for hand rehabilitation is relatively single, and the operation of many BCI devices is complex for clinical use. Therefore, we proposed a functional-oriented, port...

Background and aims Brain-computer interfaces (BCIs) are emerging as a promising tool for upper limb recovery after stroke, and motor tasks are an essential part of BCIs for patient training and control of rehabilitative/assistive BCIs. However, the correlation between brain activation with different levels of motor impairment and motor tasks in BC...

Facial palsy would lead to a series of physical and mental problems, as facial function plays an important role in various aspects of daily life. However, the current strategies for evaluating facial function relied heavily on raters and the results varied from the experience of raters. Thus, an objective and accurate facial evaluation system is al...

The therapeutic efficacy of mirror visual feedback (MVF) is attributed to the perception of embodiment. This study intends to investigate the instantaneous effect of embodiment on brain connectivity. Twelve healthy subjects were required to clench and open their non-dominant hands and keep the dominant hands still during two experimental sessions....

Background The left primary motor area (M1) stimulation has recently been revealed to promote post-stroke aphasia (PSA) recovery, of which a plausible mechanism might be the semantic and/or the mirror neuron system reorganization, but the direct evidence is still scarce. The aim of this study was to explore the functional connectivity (FC) alterati...

Wireless virtual reality networks(WVRNs) provide seamless connectivity between virtual reality devices with colossal application and commercial value. However, the main problem restricting its development is the high energy and computational consumption in 3D video rendering on VR devices. To address this issue, we propose a novel coordinated multi...

Background: The society is aging in China, and the cognitive level of elderly post-stroke patients gradually declines. Face-to-face cognitive functional training is no longer sufficient. Immersive virtual reality (IVR) is a promising rehabilitation training device. In this study, we developed an IVR-based puzzle game to explore its effectiveness,...

Brain–computer interfaces (BCIs) are becoming more popular in the neurological rehabilitation field, and sensorimotor rhythm (SMR) is a type of brain oscillation rhythm that can be captured and analyzed in BCIs. Previous reviews have testified to the efficacy of the BCIs, but seldom have they discussed the motor task adopted in BCIs experiments in...

Background: Over the past decade, many studies in the field of transcranial direct current stimulation (tDCS) in stroke have been published in scholarly journals. However, a scientometric analysis focusing on tDCS after stroke is still missing. The purpose of this study is to deliver a bibliometric analysis to investigate the global hotspots and fr...

In order to achieve thousand-fold throughput improvements for future applications, heterogeneous cellular networks (HCNs) with ultra-densely deployed small cells have gained a great deal of attention in recent years. However, energy consumption is an increasing concern as base station deployment (BSs) becomes denser. In order to address this issue,...

Early rehabilitation with the right intensity contributes to the physical recovery of stroke survivors. In clinical practice, physicians determine whether the training intensity is suitable for rehabilitation based on patients’ narratives, training scores, and evaluation scales, which puts tremendous pressure on medical resources. In this study, a...

Objective To evaluate the effects of transcutaneous electrical acupoint stimulation (TEAS) on upper limb motor recovery during post-stroke rehabilitation. Design Single-blind, randomized controlled trial. Setting Four inpatient rehabilitation facilities. Subjects A total of 204 stroke patients with unilateral upper limb motor impairment were ran...

Globally, stroke is a leading cause of death and disability. The classification of motor intentions using brain activity is an important task in the rehabilitation of stroke patients using brain–computer interfaces (BCIs). This paper presents a new method for model training in EEG-based BCI rehabilitation by using overlapping time windows. For this...

Narrow Band-Internet of Things (NB-IoT) is a novel technology to provide a high coverage area for massive low-cost devices with latency tolerance and long battery life. However, existing random access technique with fixed repetition value will cause severe interference and low resource utilization. In order to provide a more reliable transmission f...

Unmanned Aerial Vehicle (UAV) mounted Base Stations (UAV-BSs) have been widely used to enhance communication coverage for ground user devices (UDs) due to their intrinsic nature of flying. In this paper, we study the deployment of UAV-BSs for on-demand full communication coverage problem. Firstly, we give the scenario model together with communicat...

Background The cognitive level of post-stroke aphasia (PSA) patients is generally lower than non-aphasia patients, and cognitive impairment (CI) affects the outcome of stroke. However, for different types of PSA, what kind of cognitive assessment methods to choose is not completely clear. We investigated the Montreal Cognitive Assessment (MoCA), th...

Motor function assessment is essential for post-stroke rehabilitation, while the requirement for professional therapists’ participation in current clinical assessment limits its availability to most patients. By means of sensors that collect the motion data and algorithms that conduct assessment based on such data, an automated system can be built...

Background: Facial paralysis (FP) is a common symptom after stroke, which influences the quality of life and prognosis of patients. Recently, peripheral magnetic stimulation (PMS) shows potential effects on peripheral and central nervous system damage. However, the effect of PMS on FP after stroke is still unclear. Methods: In this study, we app...

Central and peripheral interventions for brain injury rehabilitation have been widely employed. However, as patients’ requirements and expectations for stroke rehabilitation have gradually increased, the limitations of simple central intervention or peripheral intervention in the rehabilitation application of stroke patients’ function have graduall...

Motor-modality -based brain computer interface (BCI) could promote the neural rehabilitation for stroke patients. Temporal-spatial analysis was commonly used for pattern recognition in this task. This paper introduced a novel connectivity network analysis for EEG-based feature selection. The network features of connectivity pattern not only capture...

Objective: Robot-assisted neuro-rehabilitation therapy plays a central role in upper extremity recovery of stroke. Even though, the efficacy of robotic training on upper extremity is not yet well defined and scant attention has been devoted to its potential effect on lower extremity. In this paper, the aim was to compare efficacy on upper and lowe...

Event-related potentials (ERP) are brain-evoked potentials that reflect the neural activity of the brain. However, it is difficult to isolate the ERP components of our interest because single-trial EEG is disturbed by other signals, and the average ERP analysis in turn loses single-trial information. In this paper, we used electrophysiological sour...

Background: A variety of functional disorders can be caused after stroke, among which impairment of respiratory function is a frequent and serious complication of stroke patients. The aim of this study was to examine diaphragmatic function after stroke by diaphragm ultrasonography and then to apply to explore its correlation with extremity motor f...

A novel intelligent reconfigurable surface (IRS) assisted coordinated multi-point (CoMP) system is proposed. Our objective is to maximize the energy efficiency (EE) of this system by jointly optimizing base station (BS) clustering, user association, sub-carrier assignment, power allocation, and optimal design of the IRS, while satisfying the users’...

FemtoCaching technology, aiming at maximizing the access probability of streaming media transmission in heterogeneous cellular networks, is investigated in this paper. Firstly, five kinds of streaming media deployment schemes are proposed based on the network topology and the relationship between users and streaming media. Secondly, a matching algo...