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Characterization and anti-bacterial potential of iron oxide nanoparticle processed eco-friendly by plant extract

Yan LP, Gopinath SCB, Anbu P, Kasim FH, Zulhaimi HI, Yaakub ARW

Prep Biochem Biotechnol, 2020;50(10):1053-1062.
PMID: 32597353 DOI: 10.1080/10826068.2020.1783678

This research comprehends iron-oxide nanoparticle (IONP) production, the apparent metallic nanostructure with unique superparamagnetic properties. Durian-rind-extract was utilized to synthesize IONP and the color of reaction mixture becomes dark brown, indicated the formation of IONPs and the peak was observed at ∼330 nm under UV-visible spectroscopy. The morphological observation under high-resolution microscopies has revealed the spherical shape and the average size (∼10 nm) of IONP. The further support was rendered by EDX-analysis showing apparent iron and oxygen peaks. XRD results displayed the crystalline planes with (110) and (300) planes at 2θ of 35.73° and 63.53°, respectively. XPS-data has clearly demonstrated the presence of Fe2P and O1s peaks. The IONPs were successfully capped by the polyphenol compounds from durian-rind-extract as evidenced by the representative peaks between 1633 and 595 cm-1 from FTIR analysis. The antimicrobial potentials of IONPs were evidenced by the disk-diffusion assay. The obtained results have abundant attention and being actively explored owing to their beneficial applications.

Matched MeSH terms: Green Chemistry Technology*
Bioseparation of phycocyanin from Phormidium tergestinum using an aqueous two-phase system

Tan JS, Abbasiliasi S, Lalung J, Tam YJ, Murugan P, Lee CK

Prep Biochem Biotechnol, 2021;51(3):260-266.
PMID: 32876520 DOI: 10.1080/10826068.2020.1808793

This study aimed at purification of phycocyanin (PC) from Phormidium tergestinum using an aqueous two-phase system (ATPS) comprised of polyethylene glycol (PEG) and salts. The partitioning efficiency of PC in ATPS and the effect of phase composition, pH, crude loading, and neutral salts on purification factor and yield were investigated. Results showed that PC was selectively partitioned toward bottom phase of the system containing potassium phosphate. Under optimum conditions of 20% (w/w) PEG 4000, 10% (w/w) potassium phosphate, 20% (v/v) crude load at pH 7, with addition of 0.5% (w/w) NaCl, PC from P. tergestinum was partially purified up to 5.34-fold with a yield of 87.8%. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis showed that the molecular weight of PC was ∼19 kDa. Results from this study demonstrated ATPS could be used as a potential approach for the purification of PC from P. tergestinum.

Matched MeSH terms: Food Technology/methods
Phytosynthesized metal oxide nanoparticles for pharmaceutical applications

Andra S, Balu SK, Jeevanandham J, Muthalagu M, Vidyavathy M, Chan YS, et al.

Naunyn Schmiedebergs Arch Pharmacol, 2019 07;392(7):755-771.
PMID: 31098696 DOI: 10.1007/s00210-019-01666-7

Developments in nanotechnology field, specifically, metal oxide nanoparticles have attracted the attention of researchers due to their unique sensing, electronic, drug delivery, catalysis, optoelectronics, cosmetics, and space applications. Physicochemical methods are used to fabricate nanosized metal oxides; however, drawbacks such as high cost and toxic chemical involvement prevail. Recent researches focus on synthesizing metal oxide nanoparticles through green chemistry which helps in avoiding the involvement of toxic chemicals in the synthesis process. Bacteria, fungi, and plants are the biological sources that are utilized for the green nanoparticle synthesis. Due to drawbacks such as tedious maintenance and the time needed for the nanoparticle formation, plant extracts are widely used in nanoparticle production. In addition, plants are available all over the world and phytosynthesized nanoparticles show comparatively less toxicity towards mammalian cells. Secondary metabolites including flavonoids, terpenoids, and saponins are present in plant extracts, and these are highly responsible for nanoparticle formation and reduction of toxicity. Hence, this article gives an overview of recent developments in the phytosynthesis of metal oxide nanoparticles and their toxic analysis in various cells and animal models. Also, their possible mechanism in normal and cancer cells, pharmaceutical applications, and their efficiency in disease treatment are also discussed.

Matched MeSH terms: Green Chemistry Technology/methods*
Fulltext Plant-Based Biosynthesis of Copper/Copper Oxide Nanoparticles: An Update on Their Applications in Biomedicine, Mechanisms, and Toxicity

Letchumanan D, Sok SPM, Ibrahim S, Nagoor NH, Arshad NM

Biomolecules, 2021 04 12;11(4).
PMID: 33921379 DOI: 10.3390/biom11040564

Plants are rich in phytoconstituent biomolecules that served as a good source of medicine. More recently, they have been employed in synthesizing metal/metal oxide nanoparticles (NPs) due to their capping and reducing properties. This green synthesis approach is environmentally friendly and allows the production of the desired NPs in different sizes and shapes by manipulating parameters during the synthesis process. The most commonly used metals and oxides are gold (Au), silver (Ag), and copper (Cu). Among these, Cu is a relatively low-cost metal that is more cost-effective than Au and Ag. In this review, we present an overview and current update of plant-mediated Cu/copper oxide (CuO) NPs, including their synthesis, medicinal applications, and mechanisms. Furthermore, the toxic effects of these NPs and their efficacy compared to commercial NPs are reviewed. This review provides an insight into the potential of developing plant-based Cu/CuO NPs as a therapeutic agent for various diseases in the future.

Matched MeSH terms: Green Chemistry Technology/methods
Fulltext A non-printed integrated-circuit textile for wireless theranostics

Yang Y, Wei X, Zhang N, Zheng J, Chen X, Wen Q, et al.

Nat Commun, 2021 08 12;12(1):4876.
PMID: 34385436 DOI: 10.1038/s41467-021-25075-8

While the printed circuit board (PCB) has been widely considered as the building block of integrated electronics, the world is switching to pursue new ways of merging integrated electronic circuits with textiles to create flexible and wearable devices. Herein, as an alternative for PCB, we described a non-printed integrated-circuit textile (NIT) for biomedical and theranostic application via a weaving method. All the devices are built as fibers or interlaced nodes and woven into a deformable textile integrated circuit. Built on an electrochemical gating principle, the fiber-woven-type transistors exhibit superior bending or stretching robustness, and were woven as a textile logical computing module to distinguish different emergencies. A fiber-type sweat sensor was woven with strain and light sensors fibers for simultaneously monitoring body health and the environment. With a photo-rechargeable energy textile based on a detailed power consumption analysis, the woven circuit textile is completely self-powered and capable of both wireless biomedical monitoring and early warning. The NIT could be used as a 24/7 private AI "nurse" for routine healthcare, diabetes monitoring, or emergencies such as hypoglycemia, metabolic alkalosis, and even COVID-19 patient care, a potential future on-body AI hardware and possibly a forerunner to fabric-like computers.

Matched MeSH terms: Wireless Technology/instrumentation*
Fulltext Land Use Land Cover Changes in Detection of Water Quality: A Study Based on Remote Sensing and Multivariate Statistics

Hua AK

J Environ Public Health, 2017;2017:7515130.
PMID: 28377790 DOI: 10.1155/2017/7515130

Malacca River water quality is affected due to rapid urbanization development. The present study applied LULC changes towards water quality detection in Malacca River. The method uses LULC, PCA, CCA, HCA, NHCA, and ANOVA. PCA confirmed DS, EC, salinity, turbidity, TSS, DO, BOD, COD, As, Hg, Zn, Fe, E. coli, and total coliform. CCA confirmed 14 variables into two variates; first variate involves residential and industrial activities; and second variate involves agriculture, sewage treatment plant, and animal husbandry. HCA and NHCA emphasize that cluster 1 occurs in urban area with Hg, Fe, total coliform, and DO pollution; cluster 3 occurs in suburban area with salinity, EC, and DS; and cluster 2 occurs in rural area with salinity and EC. ANOVA between LULC and water quality data indicates that built-up area significantly polluted the water quality through E. coli, total coliform, EC, BOD, COD, TSS, Hg, Zn, and Fe, while agriculture activities cause EC, TSS, salinity, E. coli, total coliform, arsenic, and iron pollution; and open space causes contamination of turbidity, salinity, EC, and TSS. Research finding provided useful information in identifying pollution sources and understanding LULC with river water quality as references to policy maker for proper management of Land Use area.

Matched MeSH terms: Remote Sensing Technology*
Fulltext A review of drug delivery systems based on nanotechnology and green chemistry: green nanomedicine

Jahangirian H, Lemraski EG, Webster TJ, Rafiee-Moghaddam R, Abdollahi Y

Int J Nanomedicine, 2017;12:2957-2978.
PMID: 28442906 DOI: 10.2147/IJN.S127683

This review discusses the impact of green and environmentally safe chemistry on the field of nanotechnology-driven drug delivery in a new field termed "green nanomedicine". Studies have shown that among many examples of green nanotechnology-driven drug delivery systems, those receiving the greatest amount of attention include nanometal particles, polymers, and biological materials. Furthermore, green nanodrug delivery systems based on environmentally safe chemical reactions or using natural biomaterials (such as plant extracts and microorganisms) are now producing innovative materials revolutionizing the field. In this review, the use of green chemistry design, synthesis, and application principles and eco-friendly synthesis techniques with low side effects are discussed. The review ends with a description of key future efforts that must ensue for this field to continue to grow.

Matched MeSH terms: Green Chemistry Technology/methods*
Technology-enhanced learning in transnational higher education

Arunasalam N

Br J Nurs, 2016 Nov 24;25(21):1201-1205.
PMID: 27882796

Some university schools of nursing in Australia and the UK have developed collaborative links with Malaysia to deliver part-time Transnational Higher Education (TNHE) post-registration top-up nursing degree courses. It enables nurses trained to diploma level to upgrade to a degree qualification. The views of 18 Malaysian nurses who had studied with one Australian and two UK TNHE universities were explored using a hermeneutic phenomenological approach. Participants recruited via convenience and snowball sampling methods were interviewed in English and Bahasa Malaysia (Malaysian language). Thematic analysis were used to analyse data. Findings indicated nurses' frustration with technology-enhanced teaching and learning and a lack of support throughout the programme. Although nurses developed confidence in using computer technology, they remained disappointed with the level of academic support. The data and some useful strategies outlined provide important insights for TNHE providers, the Malaysian Nursing Board and private hospital employers to consider for enhancing nurses learning and experiences.

Matched MeSH terms: Technology*
Choline-Chloride-Based Eutectic Solvent for the Efficient Production of Docosahexaenoyl and Eicosapentaenoyl Ethanolamides via an Enzymatic Process

Liang H, Qin X, Tan CP, Li D, Wang Y

J Agric Food Chem, 2018 Nov 21;66(46):12361-12367.
PMID: 30394748 DOI: 10.1021/acs.jafc.8b04804

Docosahexaenoyl and eicosapentaenoyl ethanolamides (DHEA and EPEA) have physiological functions, including immunomodulation, brain development, and anti-inflammation, but their efficient production is still unresolved. In this study, choline-chloride-based natural deep eutectic solvents are used as media to improve the production of DHEA and EPEA. The water content showed a key effect on the reactant conversion. Adding water to choline chloride-glucose (CG, molar ratio of 5:2) led to a significant increase (13.03% for EPEA and 27.95% for DHEA) in the yields after 1 h. The high yields of EPEA (96.84%) and DHEA (90.06%) were obtained under the optimized conditions [fish oil ethyl esters/ethanolamine molar ratio of 1:2, temperature of 60 °C, 1 h, enzyme loading of 2195 units, and CG containing 8.50% water of 43.30% (w/w, relative to total reactants)]. The products could be easily separated using centrifugation. In summary, the research has the potential to produce fatty acyl ethanolamides.

Matched MeSH terms: Green Chemistry Technology/methods*
Based Medical Systems for Patient's Authentication: Towards a New Verification Secure Framework Using CIA Standard

Mohsin AH, Zaidan AA, Zaidan BB, Albahri OS, Albahri AS, Alsalem MA, et al.

J Med Syst, 2019 May 22;43(7):192.
PMID: 31115768 DOI: 10.1007/s10916-019-1264-y

In medical systems for patient's authentication, keeping biometric data secure is a general problem. Many studies have presented various ways of protecting biometric data especially finger vein biometric data. Thus, It is needs to find better ways of securing this data by applying the three principles of information security aforementioned, and creating a robust verification system with high levels of reliability, privacy and security. Moreover, it is very difficult to replace biometric information and any leakage of biometrics information leads to earnest risks for example replay attacks using the robbed biometric data. In this paper presented criticism and analysis to all attempts as revealed in the literature review and discussion the proposes a novel verification secure framework based confidentiality, integrity and availability (CIA) standard in triplex blockchain-particle swarm optimization (PSO)-advanced encryption standard (AES) techniques for medical systems patient's authentication. Three stages are performed on discussion. Firstly, proposes a new hybrid model pattern in order to increase the randomization based on radio frequency identification (RFID) and finger vein biometrics. To achieve this, proposed a new merge algorithm to combine the RFID features and finger vein features in one hybrid and random pattern. Secondly, how the propose verification secure framework are followed the CIA standard for telemedicine authentication by combination of AES encryption technique, blockchain and PSO in steganography technique based on proposed pattern model. Finally, discussed the validation and evaluation of the proposed verification secure framework.

Matched MeSH terms: Remote Sensing Technology/instrumentation
Fulltext DAD-match; Security technique to prevent denial of service attack on duplicate address detection process in IPv6 link-local network

Al-Ani AK, Anbar M, Manickam S, Al-Ani A

PLoS One, 2019;14(4):e0214518.
PMID: 30939154 DOI: 10.1371/journal.pone.0214518

An efficiently unlimited address space is provided by Internet Protocol version 6 (IPv6). It aims to accommodate thousands of hundreds of unique devices on a similar link. This can be achieved through the Duplicate Address Detection (DAD) process. It is considered one of the core IPv6 network's functions. It is implemented to make sure that IP addresses do not conflict with each other on the same link. However, IPv6 design's functions are exposed to security threats like the DAD process, which is vulnerable to Denial of Service (DoS) attack. Such a threat prevents the host from configuring its IP address by responding to each Neighbor Solicitation (NS) through fake Neighbor Advertisement (NA). Various mechanisms have been proposed to secure the IPv6 DAD procedure. The proposed mechanisms, however, suffer from complexity, high processing time, and the consumption of more resources. The experiments-based findings revealed that all the existing mechanisms had failed to secure the IPv6 DAD process. Therefore, DAD-match security technique is proposed in this study to efficiently secure the DAD process consuming less processing time. DAD-match is built based on SHA-3 to hide the exchange tentative IP among hosts throughout the process of DAD in an IPv6 link-local network. The obtained experimental results demonstrated that the DAD-match security technique achieved less processing time compared with the existing mechanisms as it can resist a range of different threats like collision and brute-force attacks. The findings concluded that the DAD-match technique effectively prevents the DoS attack during the DAD process. The DAD-match technique is implemented on a small area IPv6 network; hence, the author future work is to implement and test the DAD-match technique on a large area IPv6 network.

Matched MeSH terms: Wireless Technology*
A review of bacterial cellulose-based drug delivery systems: their biochemistry, current approaches and future prospects

Abeer MM, Mohd Amin MC, Martin C

J Pharm Pharmacol, 2014 Aug;66(8):1047-61.
PMID: 24628270 DOI: 10.1111/jphp.12234

The field of pharmaceutical technology is expanding rapidly because of the increasing number of drug delivery options. Successful drug delivery is influenced by multiple factors, one of which is the appropriate identification of materials for research and engineering of new drug delivery systems. Bacterial cellulose (BC) is one such biopolymer that fulfils the criteria for consideration as a drug delivery material.

Matched MeSH terms: Technology, Pharmaceutical/methods
Design of a 24-hour controlled porosity osmotic pump system containing PVP: formulation variables

Yakubu R, Peh KK, Tan YT

Drug Dev Ind Pharm, 2009 Dec;35(12):1430-8.
PMID: 19929202 DOI: 10.3109/03639040902988566

The purpose of this study was to design a 24-hour controlled porosity osmotic pump system that utilizes polyvinyl pyrrolidone (PVP) as an osmotic-suspending/release retarding agent of drugs.

Matched MeSH terms: Technology, Pharmaceutical*
Depth of composite polymerization within simulated root canals using light-transmitting posts

Lui JL

Oper Dent, 1994 Sep-Oct;19(5):165-8.
PMID: 8700755

In this study, the depth of cure of composite resins cured within simulated root canals by means of light-transmitting plastic posts was compared to that achieved by the conventional light-curing method. Six sizes of posts with diameters of 1.05 mm, 1.20 mm, 1.35 mm, 1.50 mm, 1.65 mm, and 1.80 mm were investigated. In general, the larger the post diameter, the greater was the depth of cure. There were significant differences in the depth of cure between the control and all sizes of posts investigated. There were also significant differences between the various post diameters except for the 1.35 mm and 1.50 mm diameter posts. It was possible to achieve a depth of cure exceeding 11 mm using these light-transmitting posts.

Matched MeSH terms: Technology, Dental/methods*
Fulltext Green synthesis of metallic nanoparticles using pectin as a reducing agent: a systematic review of the biological activities

Devasvaran K, Lim V

Pharm Biol, 2021 Dec;59(1):494-503.
PMID: 33905665 DOI: 10.1080/13880209.2021.1910716

CONTEXT: Pectin is a plant heteropolysaccharide that is biocompatible and biodegradable, enabling it to be an excellent reducing agent (green synthesis) for metallic nanoparticles (MNPs). Nevertheless, in the biological industry, pectin has been left behind in synthesising MNPs, for no known reason.
OBJECTIVE: To systematically review the biological activities of pectin synthesised MNPs (Pe-MNPs).
METHODS: The databases Springer Link, Scopus, ScienceDirect, Google Scholar, PubMed, Mendeley, and ResearchGate were systematically searched from the date of their inception until 10th February 2020. Pectin, green synthesis, metallic nanoparticles, reducing agent and biological activities were among the key terms searched. The data extraction was focussed on the biological activities of Pe-MNPs and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations for systematic reviews.
RESULTS: A total of 15 studies outlined 7 biological activities of Pe-MNPs in the only three metals that have been explored, namely silver (Ag), gold (Au) and cerium oxide (CeO2). The activities reported from the in vitro and in vivo studies were antimicrobial (9 studies), anticancer (2 studies), drug carrier (3 studies), non-toxic (4 studies), antioxidant (2 studies), wound healing (1 study) and anti-inflammation (1 study).
CONCLUSIONS: This systematic review demonstrates the current state of the art of Pe-MNPs biological activities, suggesting that Ag and Au have potent antibacterial and anticancer/chemotherapeutic drug carrier activity, respectively. Further in vitro, in vivo, and clinical research is crucial for a better understanding of the pharmacological potential of pectin synthesised MNPs.

Matched MeSH terms: Green Chemistry Technology/methods*
Pharmaceutical Aspects of Green Synthesized Silver Nanoparticles: A Boon to Cancer Treatment

Mishra V, Nayak P, Singh M, Tambuwala MM, Aljabali AA, Chellappan DK, et al.

Anticancer Agents Med Chem, 2021;21(12):1490-1509.
PMID: 32951580 DOI: 10.2174/1871520620666200918111024

BACKGROUND: Silver nanoparticles (AgNPs) are among the most investigated nanostructures in recent years, which exhibit more challenging and promising qualities in different biomedical applications. The AgNPs synthesized by the green approach provide potential healthcare benefits over chemical approaches, including improvement of tissue restoration, drug delivery, diagnosis, being environmentally friendly, and a boon to cancer treatment.
OBJECTIVE: In the current scenario, the development of safe and effective drug delivery systems is the utmost concern of formulation development scientists as well as clinicians.
METHODS: Google, Web of Science, and PubMed portals have been searched for potentially relevant literature to get the latest developments and updated information related to different aspects of green synthesized AgNPs along with their biomedical applications, especially in the treatment of different types of cancers.
RESULTS: The present review highlights the latest published research regarding the different green approaches for the synthesis of AgNPs, their characterization techniques as well as various biomedical applications, particularly in cancer treatment. In this context, environment-friendly AgNPs are proving themselves as better candidates in terms of size, drug loading and release efficiency, targeting efficiency, minimal drug-associated side effects, pharmacokinetic profiling, and biocompatibility issues.
CONCLUSION: With continuous efforts by multidisciplinary team approaches, nanotechnology-based AgNPs will shed new light on diagnostics and therapeutics in various disease treatments. However, the toxicity issues of AgNPs need greater attention as unanticipated toxic effects must be ruled out for their diversified applications.

Matched MeSH terms: Green Chemistry Technology*
Fulltext Using transgenic plants and modified plant viruses for the development of treatments for human diseases

Loh HS, Green BJ, Yusibov V

Curr Opin Virol, 2017 10;26:81-89.
PMID: 28800551 DOI: 10.1016/j.coviro.2017.07.019

Production of proteins in plants for human health applications has become an attractive strategy attributed by their potentials for low-cost production, increased safety due to the lack of human or animal pathogens, scalability and ability to produce complex proteins. A major milestone for plant-based protein production for use in human health was achieved when Protalix BioTherapeutics produced taliglucerase alfa (Elelyso®) in suspension cultures of a transgenic carrot cell line for the treatment of patients with Gaucher's disease, was approved by the USA Food and Drug Administration in 2012. In this review, we are highlighting various approaches for plant-based production of proteins and recent progress in the development of plant-made therapeutics and biologics for the prevention and treatment of human diseases.

Matched MeSH terms: Technology, Pharmaceutical/methods
The m-Health revolution: Exploring perceived benefits of WhatsApp use in clinical practice

Ganasegeran K, Renganathan P, Rashid A, Al-Dubai SA

Int J Med Inform, 2017 01;97:145-151.
PMID: 27919374 DOI: 10.1016/j.ijmedinf.2016.10.013

BACKGROUND: The dawn of m-Health facilitates new horizons of professional communication through WhatsApp, allowing health professionals to interact fast and efficiently for effective patient management. This preliminary study aimed to investigate perceived benefits, if any, of WhatsApp use across general medical and emergency teams during clinical practice in Malaysia.
METHODS: A cross-sectional study was conducted in a universal sample of 307 health professionals comprising of nurses, medical assistants, medical residents, medical officers and physicians across medical and casualty departments in a Malaysian public hospital. The self-administered questionnaire consisted of items on socio-demographics, WhatsApp usage characteristics and the type of communication events during clinical practice.
RESULTS: The majority of respondents (68.4%) perceived WhatsApp as beneficial during clinical practice. In multivariate analysis, perceived benefits was significantly higher amongst the clinical management group (aOR=2.6, 95% CI 1.5-4.6, p=0.001), those using WhatsApp for >12months (aOR=1.7, 95% CI 1.0-3.0, p=0.047), those receiving response ≤15min to a new communication (aOR=1.9, 95% CI 1.1-3.2, p=0.017), and frequent information giving events (aOR=2.4, 95% CI 1.2-4.8, p=0.016).
CONCLUSION: Perceived benefits of WhatsApp use in clinical practice was significantly associated with usage characteristics and type of communication events. This study lays the foundation for quality improvement innovations in patient management delivered through m-Health technology.

Matched MeSH terms: Wireless Technology*
Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology

Kalid N, Zaidan AA, Zaidan BB, Salman OH, Hashim M, Muzammil H

J Med Syst, 2017 Dec 29;42(2):30.
PMID: 29288419 DOI: 10.1007/s10916-017-0883-4

The growing worldwide population has increased the need for technologies, computerised software algorithms and smart devices that can monitor and assist patients anytime and anywhere and thus enable them to lead independent lives. The real-time remote monitoring of patients is an important issue in telemedicine. In the provision of healthcare services, patient prioritisation poses a significant challenge because of the complex decision-making process it involves when patients are considered 'big data'. To our knowledge, no study has highlighted the link between 'big data' characteristics and real-time remote healthcare monitoring in the patient prioritisation process, as well as the inherent challenges involved. Thus, we present comprehensive insights into the elements of big data characteristics according to the six 'Vs': volume, velocity, variety, veracity, value and variability. Each of these elements is presented and connected to a related part in the study of the connection between patient prioritisation and real-time remote healthcare monitoring systems. Then, we determine the weak points and recommend solutions as potential future work. This study makes the following contributions. (1) The link between big data characteristics and real-time remote healthcare monitoring in the patient prioritisation process is described. (2) The open issues and challenges for big data used in the patient prioritisation process are emphasised. (3) As a recommended solution, decision making using multiple criteria, such as vital signs and chief complaints, is utilised to prioritise the big data of patients with chronic diseases on the basis of the most urgent cases.

Matched MeSH terms: Remote Sensing Technology/statistics & numerical data*
Empirical Wavelet Transform Based Features for Classification of Parkinson's Disease Severity

Oung QW, Muthusamy H, Basah SN, Lee H, Vijean V

J Med Syst, 2017 Dec 29;42(2):29.
PMID: 29288342 DOI: 10.1007/s10916-017-0877-2

Parkinson's disease (PD) is a type of progressive neurodegenerative disorder that has affected a large part of the population till now. Several symptoms of PD include tremor, rigidity, slowness of movements and vocal impairments. In order to develop an effective diagnostic system, a number of algorithms were proposed mainly to distinguish healthy individuals from the ones with PD. However, most of the previous works were conducted based on a binary classification, with the early PD stage and the advanced ones being treated equally. Therefore, in this work, we propose a multiclass classification with three classes of PD severity level (mild, moderate, severe) and healthy control. The focus is to detect and classify PD using signals from wearable motion and audio sensors based on both empirical wavelet transform (EWT) and empirical wavelet packet transform (EWPT) respectively. The EWT/EWPT was applied to decompose both speech and motion data signals up to five levels. Next, several features are extracted after obtaining the instantaneous amplitudes and frequencies from the coefficients of the decomposed signals by applying the Hilbert transform. The performance of the algorithm was analysed using three classifiers - K-nearest neighbour (KNN), probabilistic neural network (PNN) and extreme learning machine (ELM). Experimental results demonstrated that our proposed approach had the ability to differentiate PD from non-PD subjects, including their severity level - with classification accuracies of more than 90% using EWT/EWPT-ELM based on signals from motion and audio sensors respectively. Additionally, classification accuracy of more than 95% was achieved when EWT/EWPT-ELM is applied to signals from integration of both signal's information.

Matched MeSH terms: Remote Sensing Technology*

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