A novel study on monitoring and analysis of the debilitating condition patients suffering from neurological disorder is presented. Parkinson's disease characterized by limited motor ability a patient. Freezing gait major nonmotor among aging its evaluation can reduce chances any secondary disorders. In this paper, amplitude phase information radio signals observed for fixed period time are used to differentiate symptoms. The classified using support vector machine, while linear...

Tactile Internet can be seen as the next wave of innovation, which has characteristics low latency, high reliability, availability, and security. promises its application in various fields ranging from industry automation transport systems to healthcare, education, gaming. Therefore, this paper, we present tactile healthcare by considering diabetic ketoacidosis (DKA) a use case, is potentially life-threatening complication diabetes mellitus. Severe DKA causes Kussmaul breathing, condition...

Increasing prevalence of dementia has posed several challenges for care-givers. Patients suffering from often display wandering behavior due to boredom or memory loss. It is considered be one the challenging conditions manage and understand. Traits patients can compromise their safety causing serious injuries. This paper presents investigation into design evaluation scenarios with using an S-band sensing technique. frequency band wireless channel commonly used monitor characterize different...

A non-intrusive sleep apnea detection system using a C-Band channel sensing technique is proposed to monitor syndrome in real time. The utilizes perturbations of RF signals differentiate between patient's breathing under normal and conditions. peak distance calculation used obtain the respiratory rates. comparison datasets generated by method wearable sensor made concordance correlation coefficient establish its accuracy. results show that exhibits high accuracy robustness, with more than...

Medical healthcare is one of the fascinating applications using Internet Things (IoTs). The pervasive smart environment in IoTs has potential to monitor various human activities by deploying devices. In our pilot study, we look at narcolepsy, a disorder which individuals lose ability regulate their sleep-wake cycle. An imbalance brain chemical called orexin makes sleep pattern irregular. This patients suffering from narcolepsy results them experience irrepressible episodes while performing...

Breathing pattern is a representation of human breathing in the rate, depth, and rhythm, which can reflect physical mental health conditions. Capturing identifying abnormal patterns help localize associated disorders have important implications for patient or potential patient. In this paper, recognition system proposed to monitor identify contactless, unobtrusive comfortable way. The utilize designed prototype based on WiFi signal deep learning architecture achieve reliable measurement...

Cerebellar dysfunction (CD) is a neurological disorder that involves number of abnormalities affect the movement various parts body such as gait abnormality or tremors in limbs hands feet while reaching out for something. A user-friendly tool can objectively evaluate aforementioned movements CD patients aid clinicians an objective assessment clinical settings. The this paper to develop method quantifies and hand using S-band sensing technique. essentially leverages small wireless devices...

Recently, activity recognition and classification (ARC) of human opens new research area in the field health care, security, privacy society. Specifically, promise device-free platform attracts researchers to develop ensure correct detection recognition. The technologies, such as Wi-Fi, GSM, radars, do not require installing cameras or wearable sensors for monitoring Therefore, this technology has gain popularity care safety measurement systems. Traditional ARC systems depend on magic rings...

Abstract Utilizing fifth‐generation (5G) sensing in the health care sector with increased capacity and massive spectrum range increases quality of monitoring systems. In this paper, 5G C‐band operating at 4.8 GHz is used to monitor a particular body motion multiple sclerosis patients, especially tremors breathing patterns. The pattern obtained using technology compared invasive sensor subtle chest movements caused due respiration. has huge from 1 100 GHz, which enhances performance wireless...

Respiratory rhythm is the marker of respiratory diseases. A compromised system can be life threatening and potentially cause damage to other organs tissues. However, most people do not realize importance detection because expensive limited medical conditions. In this paper, we present a noncontact economically viable rhythm-detection using S-band sensing technique. The leverages microwave platform capture minute variations caused by breathing. Subsequently, implement data preprocessing rate...

WiFi sensing, an emerging sensing technology, has been widely used in vital sign monitoring. However, most respiration monitoring studies have focused on single-person tasks. In this paper, we propose a multi-person breathing system based signals. Specifically, use radio frequency (RF) switch to extend the antennas form switching antenna array. A reference channel is introduced receiver, which connected transmitter by cable and attenuator. The phase offset asynchronous transceiver devices...

Essential tremor (ET) is a neurological disorder characterized by rhythmic, involuntary shaking of part or parts the body. The most common seen in hands/arms and fingers. This paper presents an evaluation ETs monitoring based on finger-to-nose test measurement as captured small wireless devices working shortwave S-band frequency range. acquired signals terms amplitude phase information are used to detect hands. Linearly transforming raw data were carried out for calibrating improve accuracy....

To investigate the ocular manifestations of patients with severe acute respiratory syndrome (SARS) and to monitor possible complications arising from treatment regimen high-dose systemic corticosteroid drugs.DesignProspective, observational cohort case series.MethodsNinety eyes 45 diagnosis SARS during an epidemic outbreak in Hong Kong were analyzed. Relevant medical ophthalmic histories taken. Ophthalmic examinations, including best-corrected visual acuity, intraocular pressure, slit-lamp,...

Objective: Non-invasive respiration detection methods are of great value to healthcare applications and disease diagnosis with their advantages minimizing the patient's physical burden lessen requirement active cooperation subject. This method avoids extra preparations, reduces environmental constraints, strengthens possibility real-time respiratory detection. Furthermore, identifying abnormal breathing patterns in is necessary for monitoring possible disorders. Method: A non-invasive...

Parkinsonian gait is a defining feature of shaking palsy (SP) and it has one the worse impacts on human healthy life than other SP symptoms. The objective this work to propose detection system based an S-band perception technique classify abnormal normal walking. Due differences in Gaits Parkinson's patients compared with persons, wireless signals reflect generates different variations at receiver that could be used for diagnosis classification. To detect gait, we first implement data...

A novel method was presented in this paper to obtain the absorption coefficient of pear and apple slices based on scattering parameters, which were measured by employing Vector Network Analyzer (VNA) extended into Terahertz (THz) frequency range 0.75 THz 1.1 with Swissto 12 waveguide systems. The results show significant difference transmission response between when Moisture Content (MC) value is less than 50% passing days. comparison display that decreasing ratio MC slice nearly three times...

Human respiratory activity parameters are important indicators of vital signs. Most detection methods naïve abd simple and use invasive technology. Non-invasive breathing the solution to these limitations. In this research, we propose a non-invasive method based on C-band sensing. Traditional require special hardware facilities that cannot be used in ordinary environments. Based this, multi-input, multi-output orthogonal frequency division multiplexing (MIMO-OFDM) system 802.11n protocol is...

Abstract Use of wireless signal technology in sensing human gait activity is a satisfactory example device‐free and effective medical science to detect motion–related diseases. Some prior research showed some potential detecting process walking from channel information (WCI) using signals. In this paper, we present comparison three popular features reduction methods such as principal component analysis (PCA), kernel (KPCA), linear discriminant (LDA) classifications methods, support vector...

Exercise training is a key component of respiratory rehabilitation. monitoring and assessment have shown to be beneficial significant improvement in the outcome exercise training. In this article, we propose noninvasive system (EMAS) for home-based rehabilitation exercises. EMAS exploits multiband microwave sensing techniques monitor real-time patient's synchronously provide online visual feedback helping patient better Then extracts information (duration, intensity, breathing changes) from...

Humans' daily behavior can reflect the main physiological characteristics of neurological diseases. Human gait is a complex produced by coordination multiple systems, such as nervous system and muscular system. It state human health, its abnormality an important basis for diagnosing some However, many early anomalies have not been effectively discovered because medical costs people's living customs. This paper proposes effective, economical, accurate non-contact cognitive diagnosis to help...