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  1. Article ; Online: Self-Recognition and Self-Preference Regarding Facial Profile and Its Association with A-Point-Nasion-B-Point (ANB) Angle in Orthodontic Patients.

    Shah, Ahsan Mehmood / Afridi, Mashal

    Journal of the College of Physicians and Surgeons--Pakistan : JCPSP

    2022  Volume 34, Issue 3, Page(s) 318–322

    Abstract: Objective: To detect any association between the A-Point-Nasion-B-Point angle, self-recognition and self-preference, and to find the association of these variables with the skeletal class, age, and gender.: Study design: Cross-sectional study. Place ... ...

    Abstract Objective: To detect any association between the A-Point-Nasion-B-Point angle, self-recognition and self-preference, and to find the association of these variables with the skeletal class, age, and gender.
    Study design: Cross-sectional study. Place and Duration of the Study: Department of Orthodontics and Dentofacial Orthopaedics, Khyber College of Dentistry, from October 2022 to April 2023.
    Methodology: A right-sided profile photograph of each participant was taken, and the lower jaw was moved 5mm backward and forward to produce 2 alterations. The participants were shown their 3 photographs, from which they picked the one they perceived to be their original photograph and the one they preferred for themselves. Chi-square tests for association and binary logistic regression were employed to find the associations between the variables. The alpha value was 0.05.
    Results: Ninety-eight male and 109 female orthodontic patients, mean age of 17.08 + 4.78 years, were recruited. A significant proportion of participants (51.2%) correctly identified themselves. Every degree increase in ∠ANB reduced the odds of correct self-recognition, and of self-preference for the original profile, by 1.1. There was self-preference for that profile which the participants believed was the original (57%). Skeletal class III were less likely to prefer a protrusive profile (p = 0.005). Patients aged between 15 to 22 years were able to correctly identify their profiles (63.9%, p <0.001).
    Conclusion: There is an association between facial profile self-recognition and self-preference. The ∠ANB negatively relates to self recognition. An increase in ∠ANB reduces self-preference for the original profile.
    Key words: Cephalometry, Dental photography, Self-perception, Corrective orthodontics.
    MeSH term(s) Humans ; Male ; Female ; Adolescent ; Young Adult ; Adult ; Cross-Sectional Studies ; Mandible ; Jaw ; Cephalometry ; Self Concept
    Language English
    Publishing date 2022-09-14
    Publishing country Pakistan
    Document type Journal Article
    ZDB-ID 2276646-7
    ISSN 1681-7168 ; 1022-386X
    ISSN (online) 1681-7168
    ISSN 1022-386X
    DOI 10.29271/jcpsp.2024.03.318
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: CHOROIDAL THICKNESS IN PATIENTS WITH DIABETIC MACULAR EDEMA

    Amash Aqil / Muhammad Moin / Khadijah Abid / Ahsan Mehmood

    Pakistan Armed Forces Medical Journal, Vol 71, Iss 2, Pp 433-

    2021  Volume 37

    Abstract: Objective: To evaluate central macular thickness and choroidal thickness in patients with macular edema due to diabetic retinopathy versus controls. Study Design: Cross-sectional comparative study. Place and Duration of Study: Department of Ophthalmology, ...

    Abstract Objective: To evaluate central macular thickness and choroidal thickness in patients with macular edema due to diabetic retinopathy versus controls. Study Design: Cross-sectional comparative study. Place and Duration of Study: Department of Ophthalmology, Lahore General Hospital, Lahore, from Jan to Jul 2018. Methodology: A retrospective data of 100 eyes from 50 patients having with diabetic macular edema associated with diabetic retinopathy was extracted from hospital registry. Additionally, 100 eyes of 50 individuals without any preexisting ocular conditions, comprising a control group was included in the study. Choroidal thickness measurements were made from the posterior edge of the retinal pigment epithelium to the choroid/sclera junction at subfoveal level using optical coherence tomography. Central macular thickness was also measured for all the enrolled patients. Results: One hundred patients fulfilling the inclusion criteria were enrolled in our study. The mean age was 56.27 ± 14.41 years. The mean Central macular thickness of all the patients were reported as 270.49 ± 72.38 μm, while the choroidal thickness was 284.89 ± 96.51 μm. There was statistically significant difference in central macular thickness between both healthy and diabetic retinopathy with diabetic macular edema groups (p=0.001), whereas insignificant difference existed between the two groups forchoroidal thickness (p=0.735). Conclusion: In patients with diabetic macular edema no significant change in choroidal thickness was observed compared with healthy controls, while the thickness of the retina was high in patients with macular edema due to diabetes.
    Keywords choroidal thickness ; diabetic retinopathy ; diabetic macular edema ; optical coherence tomography ; Medicine ; R ; Medicine (General) ; R5-920
    Subject code 610
    Language English
    Publishing date 2021-04-01T00:00:00Z
    Publisher Army Medical College Rawalpindi
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Your smartphone could act as a pulse-oximeter and as a single-lead ECG

    Ahsan Mehmood / Asma Sarouji / M. Mahboob Ur Rahman / Tareq Y. Al-Naffouri

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    2023  Volume 21

    Abstract: Abstract In the post-covid19 era, every new wave of the pandemic causes an increased concern/interest among the masses to learn more about their state of well-being. Therefore, it is the need of the hour to come up with ubiquitous, low-cost, non-invasive ...

    Abstract Abstract In the post-covid19 era, every new wave of the pandemic causes an increased concern/interest among the masses to learn more about their state of well-being. Therefore, it is the need of the hour to come up with ubiquitous, low-cost, non-invasive tools for rapid and continuous monitoring of body vitals that reflect the status of one’s overall health. In this backdrop, this work proposes a deep learning approach to turn a smartphone—the popular hand-held personal gadget—into a diagnostic tool to measure/monitor the three most important body vitals, i.e., pulse rate (PR), blood oxygen saturation level (aka SpO2), and respiratory rate (RR). Furthermore, we propose another method that could extract a single-lead electrocardiograph (ECG) of the subject. The proposed methods include the following core steps: subject records a small video of his/her fingertip by placing his/her finger on the rear camera of the smartphone, and the recorded video is pre-processed to extract the filtered and/or detrended video-photoplethysmography (vPPG) signal, which is then fed to custom-built convolutional neural networks (CNN), which eventually spit-out the vitals (PR, SpO2, and RR) as well as a single-lead ECG of the subject. To be precise, the contribution of this paper is twofold: (1) estimation of the three body vitals (PR, SpO2, RR) from the vPPG data using custom-built CNNs, vision transformer, and most importantly by CLIP model (a popular image-caption-generator model); (2) a novel discrete cosine transform+feedforward neural network-based method that translates the recorded video-PPG signal to a single-lead ECG signal. The significance of this work is twofold: (i) it allows rapid self-testing of body vitals (e.g., self-monitoring for covid19 symptoms), (ii) it enables rapid self-acquisition of a single-lead ECG, and thus allows early detection of atrial fibrillation (abormal heart beat or arrhythmia), which in turn could enable early intervention in response to a range of cardiovascular diseases, and could help save ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 700
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Beliefs about the factors that motivate prosocial sentiments among people in the privileged class of Pakistan during the COVID-19 pandemic.

    Ahmed, Ahsan Mehmood / Rasool, Shahid / Prentice, Catherine / Ahmad, Muhammad Hissan

    The Journal of social issues

    2022  

    Abstract: Drawing upon the theories of empathy-altruism and planned behavior, this study investigated beliefs about the factors that motivate prosocial sentiments among people in the privileged class of Pakistan during the COVID-19 pandemic. In-depth interviews ... ...

    Abstract Drawing upon the theories of empathy-altruism and planned behavior, this study investigated beliefs about the factors that motivate prosocial sentiments among people in the privileged class of Pakistan during the COVID-19 pandemic. In-depth interviews were conducted with 31 participants who were deemed to be members of the privileged class within the class system of Pakistan. The results revealed nine themes including social interaction, peer influence, role models, collectivism, vicarious emotions, religiosity, capability, volition, and education.
    Language English
    Publishing date 2022-05-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2023973-7
    ISSN 1540-4560 ; 0022-4537
    ISSN (online) 1540-4560
    ISSN 0022-4537
    DOI 10.1111/josi.12506
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