Women's experiences of two different self-assessment methods for monitoring fetal movements in full-term pregnancy : a crossover trial

Background: Low maternal awareness of fetal movements is associated with negative birth outcomes. Knowledge regarding pregnant women's compliance with programs of systematic self-assessment of fetal movements is needed. The aim of this study was to investigate women's experiences using two different self-assessment methods for monitoring fetal movements and to determine if the women had a preference for one or the other method. Methods: Data were collected by a crossover trial; 40 healthy women with an uncomplicated full-term pregnancy counted the fetal movements according to a Count-to-ten method and assessed the character of the movements according to the Mindfetalness method. Each self-assessment was observed by a midwife and followed by a questionnaire. A total of 80 self-assessments was performed; 40 with each method. Results: Of the 40 women, only one did not find at least one method suitable. Twenty of the total of 39 reported a preference, 15 for the Mindfetalness method and five for the Count-to-ten method. All 39 said they felt calm, relaxed, mentally present and focused during the observations. Furthermore, the women described the observation of the movements as safe and reassuring and a moment for communication with their unborn baby. Conclusions: In the 80 assessments all but one of the women found one or both methods suitable for self-assessment of fetal movements and they felt comfortable during the assessments. More women preferred the Mindfetalness method compared to the count-to-ten method, than vice versa.

A review of Parkinson’s disease cardinal and dyskinetic motor symptoms assessment methods using sensor systems

This paper is reviewing objective assessments of Parkinson’s disease(PD) motor symptoms, cardinal, and dyskinesia, using sensor systems. It surveys the manifestation of PD symptoms, sensors that were used for their detection, types of signals (measures) as well as their signal processing (data analysis) methods. A summary of this review’s finding is represented in a table including devices (sensors), measures and methods that were used in each reviewed motor symptom assessment study. In the gathered studies among sensors, accelerometers and touch screen devices are the most widely used to detect PD symptoms and among symptoms, bradykinesia and tremor were found to be mostly evaluated. In general, machine learning methods are potentially promising for this. PD is a complex disease that requires continuous monitoring and multidimensional symptom analysis. Combining existing technologies to develop new sensor platforms may assist in assessing the overall symptom profile more accurately to develop useful tools towards supporting better treatment process.

Speech Assessment for the Classification of Hypokinetic Dysthria in Parkinson Disease

The aim of this thesis is to investigate computerized voice assessment methods to classify between the normal and Dysarthric speech signals. In this proposed system, computerized assessment methods equipped with signal processing and artificial intelligence techniques have been introduced. The sentences used for the measurement of inter-stress intervals (ISI) were read by each subject. These sentences were computed for comparisons between normal and impaired voice. Band pass filter has been used for the preprocessing of speech samples. Speech segmentation is performed using signal energy and spectral centroid to separate voiced and unvoiced areas in speech signal. Acoustic features are extracted from the LPC model and speech segments from each audio signal to find the anomalies. The speech features which have been assessed for classification are Energy Entropy, Zero crossing rate (ZCR), Spectral-Centroid, Mean Fundamental-Frequency (Meanf0), Jitter (RAP), Jitter (PPQ), and Shimmer (APQ). Naïve Bayes (NB) has been used for speech classification. For speech test-1 and test-2, 72% and 80% accuracies of classification between healthy and impaired speech samples have been achieved respectively using the NB. For speech test-3, 64% correct classification is achieved using the NB. The results direct the possibility of speech impairment classification in PD patients based on the clinical rating scale.

Fetal Movements in late Pregnancy : Categorization, Self-assessment, and Prenatal Attachment in relation to women’s experiences

Aim: To explore how pregnant women experience fetal movements in late pregnancy. Specific aims were:  to study women’s experiences during the time prior to receiving news that their unborn baby had died in utero (I), to investigate women’s descriptions of fetal movements (II), investigate the association between the magnitude of fetal movements and level of prenatal attachment (III), and to study women’s experiences using two different self-assessment methods (IV). Methods: Interviews, questionnaires, and observations were used. Results: Premonition that something had happened to their unborn baby, based on a lack of fetal movements, was experienced by the participants. The overall theme “something is wrong” describes the women’s insight that the baby’s life was threatened (I). Fetal movements that were sorted into the domain “powerful movements” were perceived in late pregnancy by 96 % of the participants (II). Perceiving frequent fetal movements on at least three occasions per 24 hours was associated with higher scores of prenatal attachment in all the three subscales on PAI-R. The majority (55%) of the 456 participants reported average occasions of frequent fetal movements, 26% several occasions and 18% reported few occasions of frequent fetal movements, during the current gestational week.  (III). Only one of the 40 participants did not find at least one method for monitoring fetal movements suitable. Fifteen of the 39 participants reported a preference for the mindfetalness method and five for the count-to-ten method. The women described the observation of the movements as a safe and reassuring moment for communication with their unborn baby (IV). Conclusion:  In full-term and uncomplicated pregnancies, women usually perceive fetal movements as powerful. Furthermore, women in late pregnancy who reported frequent fetal movements on several occasions during a 24-hour period seem to have a high level of prenatal attachment. Women who used self-assessment methods for monitoring fetal movements felt calm and relaxed when observing the movements of their babies. They had a high compliance for both self-assessment methods. Women that had experienced a stillbirth in late pregnancy described that they had a premonition before they were told that their baby had died in utero. 

Motion Cues Analysis for Parkinson Gait Recognition

Background: Previous assessment methods for PG recognition used sensor mechanisms for PG that may cause discomfort. In order to avoid stress of applying wearable sensors, computer vision (CV) based diagnostic systems for PG recognition have been proposed. Main constraints in these methods are the laboratory setup procedures: Novel colored dresses for the patients were specifically designed to segment the test body from a specific colored background. Objective: To develop an image processing tool for home-assessment of Parkinson Gait(PG) by analyzing motion cues extracted during the gait cycles. Methods: The system is based on the idea that a normal body attains equilibrium during the gait by aligning the body posture with the axis of gravity. Due to the rigidity in muscular tone, persons with PD fail to align their bodies with the axis of gravity. The leaned posture of PD patients appears to fall forward. Whereas a normal posture exhibits a constant erect posture throughout the gait. Patients with PD walk with shortened stride angle (less than 15 degrees on average) with high variability in the stride frequency. Whereas a normal gait exhibits a constant stride frequency with an average stride angle of 45 degrees. In order to analyze PG, levodopa-responsive patients and normal controls were videotaped with several gait cycles. First, the test body is segmented in each frame of the gait video based on the pixel contrast from the background to form a silhouette. Next, the center of gravity of this silhouette is calculated. This silhouette is further skeletonized from the video frames to extract the motion cues. Two motion cues were stride frequency based on the cyclic leg motion and the lean frequency based on the angle between the leaned torso tangent and the axis of gravity. The differences in the peaks in stride and lean frequencies between PG and normal gait are calculated using Cosine Similarity measurements. Results: High cosine dissimilarity was observed in the stride and lean frequencies between PG and normal gait. High variations are found in the stride intervals of PG whereas constant stride intervals are found in the normal gait. Conclusions: We propose an algorithm as a source to eliminate laboratory constraints and discomfort during PG analysis. Installing this tool in a home computer with a webcam allows assessment of gait in the home environment.

Personlighetsbedömning i samband med rekrytering : En studie om bemanningsbranschens personlighetsbedömning vid en rekrytering

Att medarbetare är av existentiell betydelse för en organisations överlevnad är sedan länge känt. Därmed är rekrytering en av de viktigaste funktionerna inom HR för att attrahera rätt kompetens till organisationen då en misslyckad rekrytering vanligen leder till bortkastad tid och dyra rekryteringsprocesser. Något som kommit att få allt större betydelse vid urvalet och bedömningen av nya medarbetare är kandidaters personlighet. Forskning visar att personlighetsdrag spelar en stor roll när det kommer till framtida arbetsprestationer och förmågan att göra rätt bedömningar av människor är därför central. Teorier om synen på personlighet, kompetens, kompetensbaserad rekrytering och urval samt bedömningsmetoder och personlighetsbedömning används för att analysera studiens resultat. Denna kvalitativa studies övergripande syfte var att öka förståelsen för hur rekryterare bedömer en kandidats personlighet vid en rekryteringsprocess inom bemanningsföretag. Bemanningsföretag är företag som ständigt arbetar med rekrytering och uthyrning av personal, varför ett proaktivt bemanningsarbete krävs för att skapa en konkurrensfördel på marknaden. Inför denna fallstudie kontaktades tre av den svenska bemanningsbranschens största aktörer varav två rekryterare på vardera företag deltog i semistrukturerade intervjuer. Personlighet ansågs generellt som något viktigt som samtliga rekryterare lade stor vikt vid under hela processens gång, från utformandet av kravprofilen till avslutande bedömning. Bedömningen skedde genom såväl test som intervju och referenstagning. Samtliga poängterade vikten av att alltid göra en helhetsbedömning av kandidaten och att det därmed var svårt att vikta exempelvis formella kompetenser mot personliga egenskaper. Resultatet visar att bemanningsbranschens arbete med personlighetsbedömning vid rekrytering utgår ifrån strukturerade bedömningsmetoder. Deras gedigna och proaktiva arbete med rekrytering lever upp till påståendet om att personalen är en organisations viktigaste resurs och vikten av att förstå innebörden av personlighetens betydelse i uttrycket ”rätt person på rätt plats”.

Effective measures to decrease air contaminants through risk and control visualization : a study of the effective use of QR codes to facilitate safety training

Woodworking industries still consists of wood dust problems. Young workers are especially vulnerable to safety risks. To reduce risks, it is important to change attitudes and increase knowledge about safety. Safety training have shown to establish positive attitudes towards safety among employees. The aim of current study is to analyze the effect of QR codes that link to Picture Mix EXposure (PIMEX) videos by analyzing attitudes to this safety training method and safety in student responses. Safety training videos were used in upper secondary school handicraft programs to demonstrate wood dust risks and methods to decrease exposure to wood dust. A preliminary study was conducted to investigate improvement of safety training in two schools in preparation for the main study that investigated a safety training method in three schools. In the preliminary study the PIMEX method was first used in which students were filmed while wood dust exposure was measured and subsequently displayed on a computer screen in real time. Before and after the filming, teachers, students, and researchers together analyzed wood dust risks and effective measures to reduce exposure to them. For the main study, QR codes linked to PIMEX videos were attached at wood processing machines. Subsequent interviews showed that this safety training method enables students in an early stage of their life to learn about risks and safety measures to control wood dust exposure. The new combination of methods can create awareness, change attitudes and motivation among students to work more frequently to reduce wood dust.