Evidence map›Paper›PMID 40363186›Full record

ArticleSensors (Basel, Switzerland)2025

Hardware-Accelerated Non-Contact System for Sleep Disorder Monitoring and Analysis.

Mangali Sravanthi, Sravan Kumar Gunturi, Mangali Chinna Chinnaiah, G Divya Vani, Mudasar Basha, Narambhatla Janardhan, Dodde Hari Krishna, Sanjay Dubey

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mangali SravanthiDepartment of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Aziz Nagar, Hyderabad 500075, Telangana, India.
Sravan Kumar GunturiDepartment of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Aziz Nagar, Hyderabad 500075, Telangana, India.
Mangali Chinna ChinnaiahDepartment of Electronics and Communications Engineering, B V Raju Institute of Technology, Medak (Dist), Narsapur 502313, Telangana, India.ORCID 0000-0002-1489-7686
G Divya VaniDepartment of Electronics and Communications Engineering, B V Raju Institute of Technology, Medak (Dist), Narsapur 502313, Telangana, India.
Mudasar BashaDepartment of Electronics and Communications Engineering, B V Raju Institute of Technology, Medak (Dist), Narsapur 502313, Telangana, India.ORCID 0000-0002-3801-2889
Narambhatla JanardhanDepartment of Mechanical Engineering, Chaitanya Bharati Institute of Technology, Gandipet, Hyderabad 500075, Telangana, India.ORCID 0000-0001-8591-7923
Dodde Hari KrishnaDepartment of Electronics and Communications Engineering, B V Raju Institute of Technology, Medak (Dist), Narsapur 502313, Telangana, India.ORCID 0000-0002-4273-2045
Sanjay DubeyDepartment of Electronics and Communications Engineering, B V Raju Institute of Technology, Medak (Dist), Narsapur 502313, Telangana, India.ORCID 0000-0003-3845-7738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzes human sleep disorders using non-contact approaches. The proposed approach analyzes periodic limb movement disorder (PLMD) under sleep conditions. This was conceptualized as data capture using a non-contact approach with ultrasonic sensors. The model was designed to estimate PLMD and classify it using real-time sleep data and a machine learning-based random forest classifier. Hardware schemes play a vital role in capturing sleep data in real time using ultrasonic sensors. A field-programmable gate array (FPGA)-based accelerator for a random forest classifier was designed to analyze PLMD. This is a novel approach that aids subjects in taking further medications. Verilog HDL was used for PLMD estimation using a Xilinx Vivado 2021.1 simulation and synthesis. The proposed method was validated using a Xilinx Zynq-7000 Zed board XC7Z020-CLG484.

Indexed as

Sleep Wake DisordersAlgorithmsHumansMachine LearningMonitoring, PhysiologicSleepFPGA-based acceleratorsperiodic limb movement disorder (PLMD)random forest classifiersleep monitoring

Identifiers

PMID40363186
PMCPMC12074336

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.