Short term oxygen therapy effects in hypoxemic patients measured by drawing analysis

Fiz, J.A.; Faundez-Zanuy, Marcos; Monte, Enric; Roure-Alcobe, Josep; Andreo, Felipe; Gómez, Rosa Cámara; Manzano, Juan Ruíz

doi:10.1016/j.cmpb.2015.01.005

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…This database described in (Fiz et al 2015) includes eight patients with hypoxemia who performed two tasks: house and clock drawing, before and after breathing 30 minutes with O 2 with the aim of evaluating changes in psychomotor functions.…”

Section: Oxigen-therapymentioning

confidence: 99%

A Comparative Study of In-Air Trajectories at Short and Long Distances in Online Handwriting

2017

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Existing literature about online handwriting analysis to support pathology diagnosis has taken advantage of in-air trajectories. A similar situation occurred in biometric security applications where the goal is to identify or verify an individual using his signature or handwriting. These studies do not consider the distance of the pen tip to the writing surface. This is due to the fact that current acquisition devices do not provide height formation. However, it is quite straightforward to differentiate movements at two different heights (a) short distance: height lower or equal to 1 cm above a surface of digitizer, the digitizer provides x and y coordinates; (b) long distance: height exceeding 1 cm, the only information available is a time stamp that indicates the time that a specific stroke has spent at long distance. Although short distance has been used in several papers, long distances have been ignored and will be investigated in this paper. In this paper, we will analyze a large set of databases (BIOSECUR-ID, EMOTHAW, PaHaW, OXYGEN-THERAPY, and SALT), which contain a total amount of 663 users and 17,951 files. We have specifically studied (a) the percentage of time spent on-surface, in-air at short distance, and in-air at long distance for different user profiles (pathological and healthy users) and different tasks; (b) the potential use of these signals to improve classification rates. Our experimental results reveal that long distance movements represent a very small portion of the total execution time (0.5% in the case of signatures and 10.4% for uppercase words of BIOSECUR-ID, which is the largest database). In addition, significant differences have been found in the comparison of pathological versus control group for letter “l” in PaHaW database (p = 0.0157) and crossed pentagons in SALT database (p = 0.0122).

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Section: Oxigen-therapymentioning

confidence: 99%

A Comparative Study of In-Air Trajectories at Short and Long Distances in Online Handwriting

2017

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“…The latter drawback can in some circumstances be considered a positive property since information regarding a person's state can be deduced from the comparison of different samples of their handwriting. This handwriting-based assessment has been applied to the early diagnose of neurodegenerative conditions [1] [2] [3], to the measurement of the effect of oxygen therapy in patients suffering from chronic obstructive pulmonary disease [4] and to assess the effects of alcohol [5] [6], marijuana [7] or caffeine [8].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Fatigue on the Performance of Online Writer Recognition

Sesa-Nogueras¹,

Faundez-Zanuy²,

Garnacho-Castaño³

2021

Cogn Comput

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Background: The performance of biometric modalities based on things done by the subject, like signature and text-based recognition, may be affected by the subject's state. Fatigue is one of the conditions that can significantly affect the outcome of handwriting tasks. Recent research has already shown that physical fatigue produces measurable differences in some features extracted from common writing and drawing tasks. It is important to establish to which extent physical fatigue contributes to the intra-person variability observed in these biometric modalities and also to know whether the performance of recognition methods is affected by fatigue. Goal: In this paper we assess the impact of fatigue on intra-user variability and on the performance of signature-based and text-based writer recognition approaches encompassing both identification and verification. Methods: Several signature and text recognition methods are considered and applied to samples gathered after different levels of induced fatigue, measured by metabolic and mechanical assessment and, also by subjective perception. The recognition methods are Dynamic Time Warping and Multi Section Vector Quantization, for signatures, and Allographic Text-Dependent Recognition for text in capital letters. For each fatigue level, the identification and verification performance of these methods is measured. Results: Signature shows no statistically significant intra-user impact, but text does. On the other hand, performance of signature-based recognition approaches is negatively impacted by fatigue whereas the impact is not noticeable in text-based recognition, provided long enough sequences are considered.

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“…In this context, it is a simple and non-invasive test for diseases where a biological marker does not exist. It can also be applied as an improvement measurement test after a specific treatment, such as oxygen therapy in patients affected by chronic obstructive pulmonary disease (COPD) [7]. A recent review on online handwriting applications in e-health and e-security is given in [5,8,9].…”

Section: Introductionmentioning

confidence: 99%

On the Handwriting Tasks’ Analysis to Detect Fatigue

Garnacho-Castaño¹,

Faundez-Zanuy²,

Lopez-Xarbau³

2020

Applied Sciences

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Practical determination of physical recovery after intense exercise is a challenging topic that must include mechanical aspects as well as cognitive ones because most of physical sport activities, as well as professional activities (including brain–computer interface-operated systems), require good shape in both of them. This paper presents a new online handwritten database of 20 healthy subjects. The main goal was to study the influence of several physical exercise stimuli in different handwritten tasks and to evaluate the recovery after strenuous exercise. To this aim, they performed different handwritten tasks before and after physical exercise as well as other measurements such as metabolic and mechanical fatigue assessment. Experimental results showed that although a fast mechanical recovery happens and can be measured by lactate concentrations and mechanical fatigue, this is not the case when cognitive effort is required. Handwriting analysis revealed that statistical differences exist on handwriting performance even after lactate concentration and mechanical assessment recovery. This points out a necessity of more recovering time in sport and professional activities than those measured in classic ways.

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Short term oxygen therapy effects in hypoxemic patients measured by drawing analysis

Abstract: Background: Chronic hypoxemia has deleterious effects on psychomotor function that can

Cited by 5 publications

References 31 publications

A Comparative Study of In-Air Trajectories at Short and Long Distances in Online Handwriting

A Comparative Study of In-Air Trajectories at Short and Long Distances in Online Handwriting

The Effect of Fatigue on the Performance of Online Writer Recognition

On the Handwriting Tasks’ Analysis to Detect Fatigue

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