Towards a user-friendly sleep staging system for polysomnography part I: Automatic classification based on medical knowledge

Abstract Context.—The ocular adnexal lymphomas (OAL) arise in the conjunctiva, orbit, lacrimal gland, and eyelids. To date, they have been clinically staged using the Ann Arbor staging system, first designed for Hodgkin and later for nodal, non–Hodgkin lymphoma. The Ann Arbor system has several shortcomings, particularly when staging extranodal non– Hodgkin lymphomas, such as OAL, which show different dissemination patterns from nodal lymphomas. Objective.—To describe the first TNM-based clinical staging system for OAL. Design.—Retrospective literature review. Results.—We have developed, to our knowledge, the first American Joint Committee on Cancer–International Union Against Cancer TNM-based staging system for OAL to overcome the limitations of the Ann Arbor system. Our staging system defines disease extent more precisely within the various anatomic compartments of the ocular adnexa and allows for analysis of site-specific factors not addressed previously. It aims to facilitate future studies by identifying clinical and histomorphologic features of prognostic significance. This system is for primary OAL only and is not intended for intraocular lymphomas. Conclusions.—Our TNM-based staging system for OAL is a user-friendly, anatomic documentation of disease extent, which creates a common language for multicenter and international collaboration. Data points will be collected with the aim of identifying biomarkers to be incorporated into the staging system.

Download Full-text

Use of Fuzzy Matrices for the Diagnosis of Diabetes, Anaemia and Hypertension

Asian Journal of Fuzzy and Applied Mathematics ◽

10.24203/ajfam.v8i2.6185 ◽

2020 ◽

Vol 8 (2) ◽

Author(s):

Rajeev Sapre ◽

Muktai Desai ◽

Mugdha Pokharanakar

Keyword(s):

Mathematical Model ◽

Real Life ◽

Medical Knowledge ◽

Medical Documentation ◽

Diagnostic Process ◽

Uncertain Information ◽

Fuzzy Relations ◽

Degree Of Confidence ◽

User Friendly ◽

The Mathematical Model

The mathematical model presented here aims to enhance the precision in diagnostic process of diabetes, anaemia and hypertension by means of fuzzy interface. In real life, the imprecise nature of medical documentation and uncertain information provided by patients often do not give the desired degree of confidence to the diagnosis. To that end using the capability of fuzzy logic in representing, interpreting and utilizing data and information that are vague and lack certainty, a new algorithm based on different fuzzy matrices and fuzzy relations is developed. In the process a medical knowledge base is developed with the help of 51 doctors. The model achieved 94.44% accuracy in the diagnosis, which shows its usefulness. To implement this model-based diagnosis procedure a user-friendly Excel program is designed.

Download Full-text

Automated Sleep Staging System Based on Ensemble Learning Model Using Single-Channel EEG Signal

10.1007/978-3-030-82469-3_17 ◽

2021 ◽

pp. 186-202

Author(s):

Santosh Kumar Satapathy ◽

Hari Kishan Kondaveeti ◽

Ravisankar Malladi

Keyword(s):

Ensemble Learning ◽

Single Channel ◽

Staging System ◽

Learning Model ◽

Eeg Signal ◽

Sleep Staging

Download Full-text

Fuzzy Soft System and Arrhythmia Classification

Chinese Journal of Mathematics ◽

10.1155/2014/164781 ◽

2014 ◽

Vol 2014 ◽

pp. 1-12

Author(s):

Pankaj Srivastava ◽

Neeraja Sharma ◽

C. S. Aparna

Keyword(s):

Classification Scheme ◽

Medical Knowledge ◽

Southeast Asian ◽

Referral System ◽

Human Beings ◽

Asian Countries ◽

Life Threatening ◽

User Friendly ◽

Southeast Asian Countries

An arrhythmia is an irregularity with the speed or rhythm of the heartbeat. During an arrhythmia, the heart can beat too fast, too slow, or with an irregular rhythm. Most arrhythmias are harmless, but some can be serious or even life threatening. The present paper deals with the classification scheme of arrhythmia commonly occurring in human beings of Southeast Asian countries. Medical knowledge used in practice has been closely studied for modelling user friendly referral system to sharpen arrhythmia diagnosis by experts and this system is tested with satisfactory factor which is measured with degree of match criterion under the domain of considered inputs and computed output.

Download Full-text

LightSleepNet: Design of a Personalized Portable Sleep Staging System Based on Single-Channel EEG

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2021.3086981 ◽

2021 ◽

pp. 1-1

Author(s):

Yiqiao Liao ◽

Chao Zhang ◽

Milin Zhang ◽

Zhihua Wang ◽

Xiang Xie

Keyword(s):

Single Channel ◽

Staging System ◽

Sleep Staging

Download Full-text

273 Automatic sleep staging with photoplethysmography and accelerometer in a community-based population

SLEEP ◽

10.1093/sleep/zsab072.272 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A109-A109

Author(s):

Pei-Lin Lee ◽

Nettie Ting ◽

Yu-Cheng Lin ◽

Hung-Chih Chiu ◽

Yu-Ting Liu ◽

...

Keyword(s):

Sleep Onset ◽

Staging System ◽

Sleep Time ◽

Sleep Staging ◽

Ministry Of Education ◽

Community Based ◽

Linear Discriminant ◽

The Mean ◽

Leave One Out ◽

Intra Class Correlation Coefficient

Abstract Introduction The study aims to validate the automatic sleep staging system (ASSS) with photoplethysmography (PPG) and accelerometers embedded in smart watches in community-based population Methods 75 healthy subjects were randomly recruited form 304 staffs in an industrial firm who volunteered for this study. A four-stage classifier was designed based on Linear Discriminant Analysis using PPG and accelerometers. To better validate the system performance, the leave-one-out approach was applied in this study. The performance of ASSS was assessed with the epoch-by-epoch and whole-night agreement for sleep staging against manual scoring of overnight polysomnography. Results The mean agreement of four stages across all subjects was 61.1% (95% CI, 58.9-63.2) with kappa 0.55 (0.52-0.58). The mean agreement for wake, light sleep (LS), deep sleep (DS), and REM was 53.4%, 84.1%, 40.3%, 75.6%, respectively. The whole-night agreement was good-excellent (Intra-class correlation coefficient, 0.74 to 0.84) for total sleep time, sleep efficiency, wake after sleep onset, and duration of wake and REM. The agreement was fair for sleep onset and LS duration, but poor for DS duration. Conclusion Our result showed that PPG and accelerometers based smart watches have proper validity for automatic sleep staging in the community-based population. Support (if any) “Center for electronics technology integration (NTU-107L900502, 108L900502, 109-2314-B-002-252)” from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan; MediaTek Inc (201802034 RIPD).

Download Full-text

Personalized sleep staging system using evolutionary algorithm and symbolic fusion

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2016.7591181 ◽

2016 ◽

Cited By ~ 1

Author(s):

Chen Chen ◽

Adrien Ugon ◽

Xun Zhang ◽

Amara Amara ◽

Patrick Garda ◽

...

Keyword(s):

Evolutionary Algorithm ◽

Staging System ◽

Sleep Staging

Download Full-text

Inter-observer and intra-observer reliability of the myopic traction maculopathy staging system

European Journal of Ophthalmology ◽

10.1177/11206721211023319 ◽

2021 ◽

pp. 112067212110233

Author(s):

Rino Frisina ◽

Gianluca Besozzi ◽

Alessandro Finzi ◽

Sajish Joseph Pinackatt ◽

Michele Palmieri ◽

...

Keyword(s):

Optical Coherence Tomography ◽

Natural History ◽

Staging System ◽

Observer Agreement ◽

Lamellar Macular Hole ◽

Significant Percentage ◽

Validation Test ◽

Observer Reliability ◽

Myopic Traction Maculopathy ◽

User Friendly

Aim: The aim of this study is to evaluate the inter-observer and intra-observer agreement of the myopic traction maculopathy (MTM) staging system (MSS). Methods: The agreement test for MSS was based on the evaluation of 104 optical coherence tomography (OCT) scans from 104 myopic eyes. According to the MSS, six observers were asked to identify, in each image, one among four retinal patterns and one among three foveal patterns of MTM, the presence of an outer lamellar macular hole (OLMH) and an epiretinal membrane (ERM). Each observer repeated the agreement test after a 60 days interval. Results: Inter-observer reliability: the agreement of the test for the retina pattern was substantial (0.724), for the fovea pattern was 0.821, for the OLMH was 0.656, and for the ERM was 0.463. When all the criteria are included in the validation test the agreement was 0.657. Regarding the weighted statistics (Gwet’s AC2, 95% CI), the validation test was statistically significant both when the variables were considered one by one, with an excellent agreement, respectively for the retina pattern (0.955) and the fovea pattern (0.963) and when all the variables were included in the tests (0.930). Intra-observer repeatability: all observers rerun the test after 2 months with a statistically significant percentage of confirmation of the previous test. Conclusion: The MSS offers in one Table information on diagnosis, natural history, function, prognosis, and management of MTM. The MSS is user-friendly and highly reproducible.

Download Full-text